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31 Commits

Author SHA1 Message Date
6fd7ef2b55 Cache GPU RHS symbols and zero vacuum sources once 2026-04-12 22:42:58 +08:00
7064ebd5b4 Batch GPU stage downloads 2026-04-12 21:06:41 +08:00
87c581ea7c Checkpoint stable GPU optimization baseline 2026-04-12 20:26:27 +08:00
d702aa06b9 Trim GPU restrict sync overhead 2026-04-12 19:45:34 +08:00
ce88c18265 Tune GPU RHS launch geometry 2026-04-12 18:59:59 +08:00
db2d6978b2 Reduce final GPU host downloads 2026-04-12 18:46:42 +08:00
c8977d8356 Optimize GPU RK4 stage sync path 2026-04-12 18:36:05 +08:00
d9287ea530 Fix GPU RK4 boundary and sync correctness 2026-04-12 12:13:47 +08:00
b78874ef21 Refine stable GPU AMR staging path 2026-04-10 23:37:36 +08:00
a089041c3b Stabilize GPU AMR prolong/restrict paths 2026-04-10 21:57:58 +08:00
c578a15ecd Fix GPU interpolation cache lifetime leaks 2026-04-10 10:29:04 +08:00
e1a0bff43c Reduce redundant GPU host buffer preparation 2026-04-09 21:20:45 +08:00
cf3c6d6218 Stabilize GPU buffer lifecycle around regrid 2026-04-09 20:48:06 +08:00
46e94d1248 Trim constraint-only GPU downloads 2026-04-09 19:36:19 +08:00
7cd2414faa Move constraint recomputation onto GPU path 2026-04-09 19:17:39 +08:00
4463f1d23e Unpack intermediate sync stages directly to GPU 2026-04-09 19:01:12 +08:00
4484635f0d Pack sync send buffers directly from GPU state 2026-04-09 18:49:11 +08:00
b0dd069a2b Register GPU transfer buffers as pinned host memory 2026-04-09 18:36:10 +08:00
5bc67ded06 Download staged GPU sync regions incrementally 2026-04-09 18:23:05 +08:00
3b16795e78 Refresh synced GPU regions incrementally 2026-04-09 17:07:31 +08:00
5b00d49070 Reduce staged GPU host-device copies 2026-04-09 16:44:08 +08:00
42e851d19a Cache repeated interpolation plans 2026-04-09 15:21:01 +08:00
06fa643365 Refine batched CUDA interpolation kernel 2026-04-09 15:06:11 +08:00
c47349b7a9 Add batched CUDA patch interpolation path 2026-04-09 14:56:01 +08:00
ad999e4c5a Add guarded GPU prolong3 path scaffold 2026-04-09 14:28:36 +08:00
e1e3b4a448 Reduce GPU RK4 transfer overhead 2026-04-09 12:11:40 +08:00
49409645c0 Stabilize GPU output path and MPI sync 2026-04-09 10:57:49 +08:00
4e3946a4f0 Persist GPU RK4 stage caches 2026-04-08 20:59:15 +08:00
a0af9b8804 Trim GPU main-path transfer overhead 2026-04-08 20:16:25 +08:00
01ac1f9250 Cache GPU main-path device buffers 2026-04-08 19:43:17 +08:00
ea470737db Add runnable GPU main-path prototype 2026-04-08 19:14:37 +08:00
54 changed files with 38872 additions and 50881 deletions

4
.gitignore vendored
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@@ -1,6 +1,6 @@
__pycache__
GW150914
GW150914*
GW150914-origin
docs
*.tmp
.codex

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@@ -1,559 +0,0 @@
#!/usr/bin/env python3
#
# Current most stable GPU-branch baseline:
# GPU_Calculation="yes"
# Equation_Class="BSSN"
# Initial_Data_Method="Ansorg-TwoPuncture"
# puncture_data_set="Manually"
# basic_grid_set="Patch"
# grid_center_set="Cell"
# Symmetry="equatorial-symmetry"
# Time_Evolution_Method="runge-kutta-45"
# Finite_Diffenence_Method="4th-order"
# boundary_choice="BAM-choice"
# gauge_choice=0
# tetrad_type=2
# AHF_Find="no"
# devide_factor=2.0
# static_grid_type="Linear"
# moving_grid_type="Linear"
# AMSS_Z4C_MRBD=0
# Do not enable AMSS_CUDA_BH_INTERP_RESIDENT unless a dedicated
# CPU/GPU trajectory comparison has been run for that configuration.
"""
Check whether AMSS_NCKU_Input.py is suitable for the current GPU branch.
Usage:
python3 AMSS_NCKU_GPUCheck.py
python3 AMSS_NCKU_GPUCheck.py -f /path/to/AMSS_NCKU_Input.py
"""
from __future__ import annotations
import argparse
import importlib.util
import os
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any, Iterable, List, Sequence
SUPPORTED_EQUATIONS = {"BSSN", "BSSN-EScalar", "BSSN-EM", "Z4C"}
SUPPORTED_INITIAL_DATA = {
"Ansorg-TwoPuncture",
"Lousto-Analytical",
"Cao-Analytical",
"KerrSchild-Analytical",
}
SUPPORTED_SYMMETRIES = {
"no-symmetry",
"equatorial-symmetry",
"octant-symmetry",
}
SUPPORTED_GRIDS = {"Patch", "Shell-Patch"}
SUPPORTED_CENTERS = {"Cell", "Vertex"}
SUPPORTED_FD = {"2nd-order", "4th-order", "6th-order", "8th-order"}
SUPPORTED_GAUGES = {0, 1, 2, 3, 4, 5, 6, 7}
SUPPORTED_TETRADS = {0, 1, 2}
SUPPORTED_AHF = {"yes", "no"}
SUPPORTED_BOUNDARIES = {"BAM-choice", "Shibata-choice"}
SUPPORTED_PUNCTURE_DATA = {"Manually", "Automatically-BBH"}
STABLE_BASELINE = {
"GPU_Calculation": "yes",
"Equation_Class": "BSSN",
"Initial_Data_Method": "Ansorg-TwoPuncture",
"puncture_data_set": "Manually",
"basic_grid_set": "Patch",
"grid_center_set": "Cell",
"Symmetry": "equatorial-symmetry",
"Time_Evolution_Method": "runge-kutta-45",
"Finite_Diffenence_Method": "4th-order",
"boundary_choice": "BAM-choice",
"gauge_choice": 0,
"tetrad_type": 2,
"AHF_Find": "no",
"devide_factor": 2.0,
"static_grid_type": "Linear",
"moving_grid_type": "Linear",
"AMSS_Z4C_MRBD": 0,
}
@dataclass
class CheckResult:
ok: bool = True
warnings: List[str] = field(default_factory=list)
risks: List[str] = field(default_factory=list)
notes: List[str] = field(default_factory=list)
def add_warning(self, msg: str) -> None:
self.warnings.append(msg)
def add_risk(self, msg: str) -> None:
self.ok = False
self.risks.append(msg)
def add_note(self, msg: str) -> None:
self.notes.append(msg)
def extend_notes(self, messages: Iterable[str]) -> None:
self.notes.extend(messages)
def load_input_module(path: Path):
spec = importlib.util.spec_from_file_location("amss_ncku_input", str(path))
if spec is None or spec.loader is None:
raise RuntimeError(f"cannot load input module from {path}")
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module) # type: ignore[union-attr]
return module
def get_attr(mod: Any, name: str, default: Any = None) -> Any:
return getattr(mod, name, default)
def as_text(value: Any) -> str:
if isinstance(value, str):
return value.strip()
return str(value).strip()
def as_lower_text(value: Any) -> str:
return as_text(value).lower()
def as_float(value: Any, default: float | None = None) -> float | None:
try:
return float(value)
except (TypeError, ValueError):
return default
def as_int(value: Any, default: int | None = None) -> int | None:
try:
return int(value)
except (TypeError, ValueError):
return default
def sequence_len(value: Any) -> int | None:
try:
return len(value)
except TypeError:
return None
def sequence_values(value: Any) -> List[float] | None:
try:
return [float(v) for v in value]
except (TypeError, ValueError):
return None
def approx_equal(a: Any, b: float, tol: float = 1.0e-12) -> bool:
value = as_float(a)
return value is not None and abs(value - b) <= tol
def env_truthy(name: str) -> bool:
value = os.environ.get(name)
return value is not None and value.strip().lower() in {
"1",
"yes",
"y",
"true",
"on",
"enable",
"enabled",
}
def stable_baseline_differences(mod: Any) -> List[str]:
diffs = []
for name, expected in STABLE_BASELINE.items():
if not hasattr(mod, name):
continue
actual = get_attr(mod, name, None)
if isinstance(expected, float):
if not approx_equal(actual, expected):
diffs.append(f"{name}={actual!r} (stable baseline: {expected!r})")
elif actual != expected:
diffs.append(f"{name}={actual!r} (stable baseline: {expected!r})")
return diffs
def add_membership_check(
r: CheckResult,
name: str,
value: Any,
supported: Sequence[Any] | set[Any],
*,
risk_message: str | None = None,
note_message: str | None = None,
) -> None:
if value not in supported:
r.add_risk(risk_message or f"Unsupported {name}: {value!r}")
elif note_message:
r.add_note(note_message)
def check_positive_int(r: CheckResult, name: str, value: Any) -> None:
parsed = as_int(value)
if parsed is None or parsed <= 0:
r.add_risk(f"{name} must be a positive integer; got {value!r}")
def check_nonnegative_number(r: CheckResult, name: str, value: Any) -> None:
parsed = as_float(value)
if parsed is None or parsed < 0.0:
r.add_risk(f"{name} must be a non-negative number; got {value!r}")
def check_grid_geometry(r: CheckResult, mod: Any, grid: str) -> None:
grid_level = as_int(get_attr(mod, "grid_level", None))
static_grid_level = as_int(get_attr(mod, "static_grid_level", None))
moving_grid_level = as_int(get_attr(mod, "moving_grid_level", None))
refinement_level = as_int(get_attr(mod, "refinement_level", None))
analysis_level = as_int(get_attr(mod, "analysis_level", 0))
for name in (
"grid_level",
"static_grid_level",
"moving_grid_level",
"static_grid_number",
"moving_grid_number",
"quarter_sphere_number",
):
check_positive_int(r, name, get_attr(mod, name, None))
if grid_level is not None and static_grid_level is not None:
if static_grid_level > grid_level:
r.add_risk("static_grid_level cannot exceed grid_level.")
if moving_grid_level is not None and moving_grid_level != grid_level - static_grid_level:
r.add_risk(
"moving_grid_level should equal grid_level - static_grid_level; "
f"got {moving_grid_level}, expected {grid_level - static_grid_level}."
)
if grid_level is not None:
if refinement_level is None or refinement_level < 0 or refinement_level > grid_level:
r.add_risk(f"refinement_level must be in [0, grid_level]; got {refinement_level!r}")
if analysis_level is None or analysis_level < 0 or analysis_level >= grid_level:
r.add_risk(f"analysis_level must be in [0, grid_level); got {analysis_level!r}")
largest_max = sequence_values(get_attr(mod, "largest_box_xyz_max", None))
largest_min = sequence_values(get_attr(mod, "largest_box_xyz_min", None))
if largest_max is None or len(largest_max) != 3:
r.add_risk("largest_box_xyz_max must contain three numeric values.")
elif any(v <= 0.0 for v in largest_max):
r.add_risk(f"largest_box_xyz_max values must be positive; got {largest_max!r}")
if largest_min is None or len(largest_min) != 3:
r.add_risk("largest_box_xyz_min must contain three numeric values.")
elif largest_max is not None and len(largest_max) == 3:
for idx, (lo, hi) in enumerate(zip(largest_min, largest_max)):
if lo >= hi:
r.add_risk(
f"largest_box_xyz_min[{idx}] must be smaller than largest_box_xyz_max[{idx}]."
)
if grid == "Shell-Patch" and largest_max is not None and len(largest_max) == 3:
if max(largest_max) - min(largest_max) > 1.0e-12:
r.add_risk("Shell-Patch requires a cubic largest_box_xyz_max.")
if not approx_equal(get_attr(mod, "devide_factor", None), 2.0):
r.add_risk("devide_factor must remain 2.0; the AMR code documents only this ratio as supported.")
if as_text(get_attr(mod, "static_grid_type", "")) != "Linear":
r.add_risk("static_grid_type must remain 'Linear'.")
if as_text(get_attr(mod, "moving_grid_type", "")) != "Linear":
r.add_risk("moving_grid_type must remain 'Linear'.")
shell_shape = sequence_values(get_attr(mod, "shell_grid_number", None))
if grid == "Shell-Patch":
if shell_shape is None or len(shell_shape) != 3:
r.add_risk("Shell-Patch requires shell_grid_number with three numeric values.")
elif any(int(v) <= 0 for v in shell_shape):
r.add_risk(f"shell_grid_number values must be positive; got {shell_shape!r}")
def check_punctures(r: CheckResult, mod: Any, init: str, puncture_data: str) -> None:
puncture_number = as_int(get_attr(mod, "puncture_number", None))
if puncture_number is None or puncture_number <= 0:
r.add_risk(f"puncture_number must be a positive integer; got {puncture_number!r}")
return
if init == "Ansorg-TwoPuncture" and puncture_number != 2:
r.add_warning(
"Ansorg-TwoPuncture is validated on the GPU branch mainly for puncture_number=2."
)
if puncture_data == "Automatically-BBH":
r.add_risk("puncture_data_set='Automatically-BBH' is documented as still developing.")
for name in ("position_BH", "parameter_BH", "dimensionless_spin_BH", "momentum_BH"):
value = get_attr(mod, name, None)
outer = sequence_len(value)
if outer != puncture_number:
r.add_risk(f"{name} must have puncture_number rows; got {outer!r}.")
continue
for idx in range(puncture_number):
if sequence_len(value[idx]) != 3:
r.add_risk(f"{name}[{idx}] must contain three values.")
break
if init == "Ansorg-TwoPuncture":
for name in ("parameter_BH", "position_BH", "momentum_BH"):
if get_attr(mod, name, None) is None:
r.add_risk(f"Ansorg-TwoPuncture requires {name}.")
def check_output_and_time(r: CheckResult, mod: Any) -> None:
for name in (
"Final_Evolution_Time",
"Check_Time",
"Dump_Time",
"D2_Dump_Time",
"Analysis_Time",
"Courant_Factor",
"Dissipation",
):
check_nonnegative_number(r, name, get_attr(mod, name, None))
check_positive_int(r, "Evolution_Step_Number", get_attr(mod, "Evolution_Step_Number", None))
start_time = as_float(get_attr(mod, "Start_Evolution_Time", None))
final_time = as_float(get_attr(mod, "Final_Evolution_Time", None))
if start_time is None:
r.add_risk("Start_Evolution_Time must be numeric.")
elif final_time is not None and final_time <= start_time:
r.add_risk("Final_Evolution_Time must be greater than Start_Evolution_Time.")
for name in ("GW_L_max", "GW_M_max", "Detector_Number"):
check_positive_int(r, name, get_attr(mod, name, None))
detector_min = as_float(get_attr(mod, "Detector_Rmin", None))
detector_max = as_float(get_attr(mod, "Detector_Rmax", None))
if detector_min is None or detector_min <= 0.0:
r.add_risk(f"Detector_Rmin must be positive; got {detector_min!r}")
if detector_max is None or detector_max <= 0.0:
r.add_risk(f"Detector_Rmax must be positive; got {detector_max!r}")
if detector_min is not None and detector_max is not None and detector_max <= detector_min:
r.add_risk("Detector_Rmax must be greater than Detector_Rmin.")
def check_equation_specific(r: CheckResult, mod: Any, eq: str, grid: str, fd: str) -> None:
if eq == "BSSN":
r.add_note("Equation_Class=BSSN is the current validated GPU baseline.")
elif eq == "BSSN-EScalar":
r.add_warning("BSSN-EScalar has a CUDA path, but it is less broadly validated than BSSN.")
fr_choice = as_int(get_attr(mod, "FR_Choice", None))
if fr_choice not in {1, 2, 3, 4, 5}:
r.add_risk(f"FR_Choice must be one of 1..5 for BSSN-EScalar; got {fr_choice!r}")
if approx_equal(get_attr(mod, "FR_a2", None), 0.0):
r.add_risk("CUDA BSSN-EScalar requires nonzero FR_a2.")
elif not approx_equal(get_attr(mod, "FR_a2", None), 3.0):
r.add_warning("CUDA BSSN-EScalar now passes FR_a2 to the kernel, but non-3.0 values need CPU/GPU regression.")
for name in ("FR_l2", "FR_phi0", "FR_r0", "FR_sigma0"):
check_nonnegative_number(r, name, get_attr(mod, name, None))
elif eq == "BSSN-EM":
r.add_warning(
"BSSN-EM is accepted by the build, but this checker cannot certify its physics/output "
"without a CPU/GPU regression run."
)
if fd == "8th-order":
r.add_note("BSSN-EM with 8th-order enables extra CUDA AMR batching defaults.")
elif eq == "Z4C":
r.add_warning(
"Z4C has CUDA support, but the resident path and Shell/CPBC combinations are more constrained."
)
if grid == "Patch":
r.add_warning("Z4C+Patch avoids Shell CPBC, but still needs a dedicated regression test.")
else:
r.add_warning("Z4C+Shell-Patch uses CPBC/Shell logic and is not the stable BSSN baseline.")
def check_runtime_environment(r: CheckResult, mod: Any, eq: str, grid: str, fd: str) -> None:
if env_truthy("AMSS_CUDA_BH_INTERP_RESIDENT"):
r.add_risk(
"AMSS_CUDA_BH_INTERP_RESIDENT is enabled in the environment; this option previously caused "
"late-time trajectory drift and should stay off unless explicitly revalidated."
)
else:
r.add_note("AMSS_CUDA_BH_INTERP_RESIDENT is not enabled; this matches the fixed stable default.")
if eq in {"BSSN", "BSSN-EScalar", "Z4C"}:
r.add_note("makefile_and_run.py will default AMSS_CUDA_AMR_RESTRICT_DEVICE=1 for this equation.")
if fd in {"2nd-order", "8th-order"}:
r.add_warning(
f"{fd} disables some interpolation/CUDA-aware MPI fast paths by default; validate performance and output."
)
if grid == "Shell-Patch":
r.add_warning(
"Shell-Patch changes runtime defaults and MPI process handling; use at least the script-adjusted 4 MPI ranks."
)
z4c_mrbd = as_int(get_attr(mod, "AMSS_Z4C_MRBD", 0), 0)
if z4c_mrbd not in {0, 1, 2}:
r.add_risk(f"AMSS_Z4C_MRBD must be 0, 1, or 2; got {z4c_mrbd!r}")
elif eq == "Z4C" and z4c_mrbd == 2:
r.add_risk("Z4C GPU resident path does not support AMSS_Z4C_MRBD=2.")
elif eq == "Z4C" and z4c_mrbd in {0, 1}:
r.add_note(f"Z4C will build with AMSS_Z4C_MRBD={z4c_mrbd}.")
def check_stable_profile(r: CheckResult, mod: Any) -> None:
diffs = stable_baseline_differences(mod)
if not diffs:
r.add_note("This input matches the documented most stable GPU baseline.")
return
r.add_warning(
"This input differs from the documented most stable GPU baseline: " + "; ".join(diffs)
)
def check_input(mod: Any) -> CheckResult:
r = CheckResult()
gpu_text = as_lower_text(get_attr(mod, "GPU_Calculation", "no"))
gpu = gpu_text == "yes"
eq = as_text(get_attr(mod, "Equation_Class", ""))
init = as_text(get_attr(mod, "Initial_Data_Method", ""))
symmetry = as_text(get_attr(mod, "Symmetry", ""))
time_method = as_text(get_attr(mod, "Time_Evolution_Method", ""))
grid = as_text(get_attr(mod, "basic_grid_set", ""))
center = as_text(get_attr(mod, "grid_center_set", ""))
fd = as_text(get_attr(mod, "Finite_Diffenence_Method", ""))
gauge = get_attr(mod, "gauge_choice", None)
tetrad = get_attr(mod, "tetrad_type", None)
ahf = as_text(get_attr(mod, "AHF_Find", "no")).lower()
boundary = as_text(get_attr(mod, "boundary_choice", ""))
puncture_data = as_text(get_attr(mod, "puncture_data_set", ""))
cpu_part = get_attr(mod, "CPU_Part", None)
gpu_part = get_attr(mod, "GPU_Part", None)
if gpu_text not in {"yes", "no"}:
r.add_risk(f"GPU_Calculation must be 'yes' or 'no'; got {get_attr(mod, 'GPU_Calculation', None)!r}")
if not gpu:
r.add_note("GPU_Calculation=no; this check only targets the GPU branch.")
return r
r.add_note("GPU_Calculation=yes detected.")
add_membership_check(r, "Equation_Class", eq, SUPPORTED_EQUATIONS)
add_membership_check(r, "Symmetry", symmetry, SUPPORTED_SYMMETRIES)
add_membership_check(r, "Initial_Data_Method", init, SUPPORTED_INITIAL_DATA)
add_membership_check(r, "basic_grid_set", grid, SUPPORTED_GRIDS)
add_membership_check(r, "grid_center_set", center, SUPPORTED_CENTERS)
add_membership_check(r, "Finite_Diffenence_Method", fd, SUPPORTED_FD)
add_membership_check(r, "gauge_choice", gauge, SUPPORTED_GAUGES)
add_membership_check(r, "tetrad_type", tetrad, SUPPORTED_TETRADS)
add_membership_check(r, "AHF_Find", ahf, SUPPORTED_AHF)
add_membership_check(r, "boundary_choice", boundary, SUPPORTED_BOUNDARIES)
add_membership_check(r, "puncture_data_set", puncture_data, SUPPORTED_PUNCTURE_DATA)
if init != "Ansorg-TwoPuncture":
r.add_risk(
f"Initial_Data_Method={init!r} is not validated as safe on this GPU branch; "
"the stable path is Ansorg-TwoPuncture."
)
else:
r.add_note("Initial_Data_Method=Ansorg-TwoPuncture is supported.")
if time_method != "runge-kutta-45":
r.add_risk(f"Only Time_Evolution_Method='runge-kutta-45' is supported; got {time_method!r}.")
if grid == "Patch":
r.add_note("basic_grid_set=Patch is the current stable GPU grid path.")
elif grid == "Shell-Patch":
r.add_warning("basic_grid_set=Shell-Patch has GPU support but is outside the stable BSSN baseline.")
if center == "Vertex":
r.add_warning("grid_center_set=Vertex is compiled by macros, but the stable GPU baseline is Cell.")
if symmetry != "equatorial-symmetry":
r.add_warning("The stable validation case uses equatorial-symmetry; other symmetries need regression tests.")
if fd != "4th-order":
r.add_warning("The stable validation case uses 4th-order finite differences.")
if gauge not in {0, 1}:
r.add_warning("Input comments recommend gauge_choice 0 or 1; other gauges need dedicated validation.")
if tetrad != 2:
r.add_warning("Input comments recommend tetrad_type=2; other tetrads affect wave extraction conventions.")
if ahf == "yes":
r.add_warning("AHF_Find=yes is supported by macros, but it is outside the current stable GPU baseline.")
if boundary == "Shibata-choice":
r.add_risk("Shibata-choice is not faithfully distinguished in the current macro generator; it maps to the BAM branch.")
elif boundary == "BAM-choice":
r.add_note("boundary_choice=BAM-choice is supported.")
if cpu_part is not None or gpu_part is not None:
r.add_warning("CPU_Part/GPU_Part are printed and propagated, but they do not control a real mixed CPU/GPU split in this branch.")
check_output_and_time(r, mod)
check_grid_geometry(r, mod, grid)
check_punctures(r, mod, init, puncture_data)
check_equation_specific(r, mod, eq, grid, fd)
check_runtime_environment(r, mod, eq, grid, fd)
check_stable_profile(r, mod)
return r
def main() -> int:
parser = argparse.ArgumentParser()
parser.add_argument(
"-f",
"--file",
"--input",
dest="input_file",
default="AMSS_NCKU_Input.py",
help="path to AMSS_NCKU_Input.py",
)
args = parser.parse_args()
path = Path(args.input_file).resolve()
if not path.exists():
print(f"ERROR: input file not found: {path}")
return 2
try:
mod = load_input_module(path)
except Exception as exc:
print(f"ERROR: failed to load input file: {exc}")
return 2
result = check_input(mod)
print(f"Input: {path}")
print(f"GPU_Calculation: {get_attr(mod, 'GPU_Calculation', 'no')}")
print(f"Symmetry: {get_attr(mod, 'Symmetry', '')}")
print(f"Equation_Class: {get_attr(mod, 'Equation_Class', '')}")
print(f"Initial_Data_Method: {get_attr(mod, 'Initial_Data_Method', '')}")
print(f"puncture_data_set: {get_attr(mod, 'puncture_data_set', '')}")
print(f"basic_grid_set: {get_attr(mod, 'basic_grid_set', '')}")
print(f"grid_center_set: {get_attr(mod, 'grid_center_set', '')}")
print(f"Finite_Diffenence_Method: {get_attr(mod, 'Finite_Diffenence_Method', '')}")
print(f"gauge_choice: {get_attr(mod, 'gauge_choice', '')}")
print(f"tetrad_type: {get_attr(mod, 'tetrad_type', '')}")
print(f"boundary_choice: {get_attr(mod, 'boundary_choice', '')}")
print(f"AHF_Find: {get_attr(mod, 'AHF_Find', '')}")
print(f"AMSS_Z4C_MRBD: {get_attr(mod, 'AMSS_Z4C_MRBD', 0)}")
print("")
for msg in result.notes:
print(f"NOTE: {msg}")
for msg in result.warnings:
print(f"WARNING: {msg}")
for msg in result.risks:
print(f"RISK: {msg}")
print("")
if result.risks:
print("Verdict: review the risks above before running.")
return 1
if result.warnings:
print("Verdict: runnable on the current GPU branch, but keep the warnings in mind.")
return 0
print("Verdict: OK to run on the current GPU branch.")
return 0
if __name__ == "__main__":
raise SystemExit(main())

View File

@@ -16,9 +16,9 @@ import numpy
File_directory = "GW150914" ## output file directory
Output_directory = "binary_output" ## binary data file directory
## The file directory name should not be too long
MPI_processes = 2 ## number of mpi processes used in the simulation
MPI_processes = 64 ## number of mpi processes used in the simulation
GPU_Calculation = "yes" ## Use GPU or not
GPU_Calculation = "no" ## Use GPU or not
## (prefer "no" in the current version, because the GPU part may have bugs when integrated in this Python interface)
CPU_Part = 1.0
GPU_Part = 0.0
@@ -158,7 +158,7 @@ Detector_Rmax = 160.0 ## farest dector distance
## Setting the apprent horizon
AHF_Find = "no" ## whether to find the apparent horizon: choose "yes" or "no"
AHF_Find = "no" ## whether to find the apparent horizon: choose "yes" or "no"
AHF_Find_Every = 24
AHF_Dump_Time = 20.0

View File

@@ -58,36 +58,31 @@ File_directory = os.path.join(input_data.File_directory)
## If the specified output directory exists, ask the user whether to continue
if os.path.exists(File_directory):
auto_overwrite = str(getattr(input_data, "Auto_Overwrite_Output", "yes")).strip().lower()
if auto_overwrite in ("1", "yes", "y", "true", "on", "continue"):
print( " Output dictionary has been existed; Auto_Overwrite_Output=yes, continue the calculation. " )
print( )
else:
print( " Output dictionary has been existed !!! " )
print( " If you want to overwrite the existing file directory, please input 'continue' in the terminal !! " )
print( " If you want to retain the existing file directory, please input 'stop' in the terminal to stop the " )
print( " simulation. Then you can reset the output dictionary in the input script file AMSS_NCKU_Input.py !!! " )
print( )
## Prompt whether to overwrite the existing directory
while True:
try:
inputvalue = input()
## If the user agrees to overwrite, proceed and remove the existing directory
if ( inputvalue == "continue" ):
print( " Continue the calculation !!! " )
print( )
break
## If the user chooses not to overwrite, exit and keep the existing directory
elif ( inputvalue == "stop" ):
print( " Stop the calculation !!! " )
sys.exit()
## If the user input is invalid, prompt again
else:
print( " Please input your choice !!! " )
print( " Input 'continue' or 'stop' in the terminal !!! " )
except ValueError:
print( " Output dictionary has been existed !!! " )
print( " If you want to overwrite the existing file directory, please input 'continue' in the terminal !! " )
print( " If you want to retain the existing file directory, please input 'stop' in the terminal to stop the " )
print( " simulation. Then you can reset the output dictionary in the input script file AMSS_NCKU_Input.py !!! " )
print( )
## Prompt whether to overwrite the existing directory
while True:
try:
inputvalue = input()
## If the user agrees to overwrite, proceed and remove the existing directory
if ( inputvalue == "continue" ):
print( " Continue the calculation !!! " )
print( )
break
## If the user chooses not to overwrite, exit and keep the existing directory
elif ( inputvalue == "stop" ):
print( " Stop the calculation !!! " )
sys.exit()
## If the user input is invalid, prompt again
else:
print( " Please input your choice !!! " )
print( " Input 'continue' or 'stop' in the terminal !!! " )
except ValueError:
print( " Please input your choice !!! " )
print( " Input 'continue' or 'stop' in the terminal !!! " )
## Remove the existing output directory if present
shutil.rmtree(File_directory, ignore_errors=True)
@@ -263,7 +258,7 @@ print()
if (input_data.GPU_Calculation == "no"):
ABE_file = os.path.join(AMSS_NCKU_source_copy, "ABE")
elif (input_data.GPU_Calculation == "yes"):
ABE_file = os.path.join(AMSS_NCKU_source_copy, "ABE_CUDA")
ABE_file = os.path.join(AMSS_NCKU_source_copy, "ABEGPU")
if not os.path.exists( ABE_file ):
print( )

View File

@@ -1,100 +0,0 @@
##################################################################
##
## AMSS-NCKU Plot-Only Restart Script
## Author: Xiaoqu / Claude
## 2026/05/12
##
## This script checks for existing output data from AMSS_NCKU_Program.py.
## If data exists, it skips all computation and goes directly to plotting,
## saving time when plotting was interrupted.
## If no data is found, it exits with a message.
##
##################################################################
## Guard against re-execution by multiprocessing child processes.
if __name__ != '__main__':
import sys as _sys
_sys.exit(0)
import os
import sys
import AMSS_NCKU_Input as input_data
##################################################################
## Construct paths from input configuration
File_directory = os.path.join(input_data.File_directory)
output_directory = os.path.join(File_directory, "AMSS_NCKU_output")
binary_results_directory = os.path.join(output_directory, input_data.Output_directory)
figure_directory = os.path.join(File_directory, "figure")
##################################################################
## Check whether the required output data files exist
required_files = [
os.path.join(binary_results_directory, "bssn_BH.dat"),
os.path.join(binary_results_directory, "bssn_ADMQs.dat"),
os.path.join(binary_results_directory, "bssn_psi4.dat"),
os.path.join(binary_results_directory, "bssn_constraint.dat"),
]
missing_files = [f for f in required_files if not os.path.exists(f)]
if missing_files:
print(" No existing AMSS_NCKU_Program.py output data found. ")
print(" The following required files are missing: ")
for f in missing_files:
print(f" {f}")
print()
print(" Please run AMSS_NCKU_Program.py first to generate the simulation data. ")
print(" Exiting. ")
sys.exit(1)
print(" Found existing AMSS_NCKU_Program.py output data. " )
print(" Skipping all computation and going directly to plotting. " )
print()
## Ensure the figure directory exists (it should, but be safe)
os.makedirs(figure_directory, exist_ok=True)
##################################################################
## Plot the AMSS-NCKU program results
import plot_xiaoqu
import plot_GW_strain_amplitude_xiaoqu
from parallel_plot_helper import run_plot_tasks_parallel
plot_tasks = []
## Plot black hole trajectory
plot_tasks.append((plot_xiaoqu.generate_puncture_orbit_plot, (binary_results_directory, figure_directory)))
plot_tasks.append((plot_xiaoqu.generate_puncture_orbit_plot3D, (binary_results_directory, figure_directory)))
## Plot black hole separation vs. time
plot_tasks.append((plot_xiaoqu.generate_puncture_distence_plot, (binary_results_directory, figure_directory)))
## Plot gravitational waveforms (psi4 and strain amplitude)
for i in range(input_data.Detector_Number):
plot_tasks.append((plot_xiaoqu.generate_gravitational_wave_psi4_plot, (binary_results_directory, figure_directory, i)))
plot_tasks.append((plot_GW_strain_amplitude_xiaoqu.generate_gravitational_wave_amplitude_plot, (binary_results_directory, figure_directory, i)))
## Plot ADM mass evolution
for i in range(input_data.Detector_Number):
plot_tasks.append((plot_xiaoqu.generate_ADMmass_plot, (binary_results_directory, figure_directory, i)))
## Plot Hamiltonian constraint violation over time
for i in range(input_data.grid_level):
plot_tasks.append((plot_xiaoqu.generate_constraint_check_plot, (binary_results_directory, figure_directory, i)))
run_plot_tasks_parallel(plot_tasks)
## Plot stored binary data (runs serially, not in the parallel pool)
plot_xiaoqu.generate_binary_data_plot(binary_results_directory, figure_directory)
print()
print(" Plotting completed successfully. ")
print()

View File

@@ -2,18 +2,13 @@
"""
AMSS-NCKU GW150914 Simulation Regression Test Script (Comprehensive Version)
Verification Requirements:
1. RMS errors < 1% for:
- 3D Vector Total RMS
- X Component RMS
- Y Component RMS
- Z Component RMS
2. ADM constraint violation < 2 (Grid Level 0)
3. The following figure PDFs must match GW150914-origin exactly after rasterization:
- ADM_Constraint_Grid_Level_0.pdf
- BH_Trajectory_21_XY.pdf
- BH_Trajectory_XY.pdf
The script also reports the percentage of differing pixels for each figure.
Verification Requirements:
1. RMS errors < 1% for:
- 3D Vector Total RMS
- X Component RMS
- Y Component RMS
- Z Component RMS
2. ADM constraint violation < 2 (Grid Level 0)
RMS Calculation Method:
- Computes trajectory deviation on the XY plane independently for BH1 and BH2
@@ -25,13 +20,9 @@ Default: output_dir = GW150914/AMSS_NCKU_output
Reference: GW150914-origin (baseline simulation)
"""
import numpy as np
import sys
import os
import shutil
import subprocess
import tempfile
from PIL import Image
import numpy as np
import sys
import os
# ANSI Color Codes
class Color:
@@ -58,143 +49,17 @@ def load_bh_trajectory(filepath):
}
def load_constraint_data(filepath):
"""Load constraint violation data"""
data = []
def load_constraint_data(filepath):
"""Load constraint violation data"""
data = []
with open(filepath, 'r') as f:
for line in f:
if line.startswith('#'):
continue
parts = line.split()
if len(parts) >= 8:
data.append([float(x) for x in parts[:8]])
return np.array(data)
def resolve_figure_dir(path):
"""Resolve the sibling figure directory from an output or figure path."""
normalized = os.path.normpath(path)
if os.path.basename(normalized) == "figure":
return normalized
return os.path.join(os.path.dirname(normalized), "figure")
def render_pdf_to_images(pdf_path, dpi=150):
"""Render a PDF to RGB images using Ghostscript."""
gs_path = shutil.which("gs")
if gs_path is None:
raise RuntimeError("Ghostscript executable 'gs' was not found in PATH")
with tempfile.TemporaryDirectory(prefix="amss_verify_pdf_") as temp_dir:
output_pattern = os.path.join(temp_dir, "page-%03d.ppm")
cmd = [
gs_path,
"-q",
"-dSAFER",
"-dBATCH",
"-dNOPAUSE",
"-sDEVICE=ppmraw",
f"-r{dpi}",
f"-o{output_pattern}",
pdf_path
]
try:
subprocess.run(cmd, check=True, stdout=subprocess.DEVNULL, stderr=subprocess.PIPE, text=True)
except subprocess.CalledProcessError as exc:
message = exc.stderr.strip() or str(exc)
raise RuntimeError(f"Failed to render PDF '{pdf_path}': {message}") from exc
ppm_files = sorted(
os.path.join(temp_dir, filename)
for filename in os.listdir(temp_dir)
if filename.endswith(".ppm")
)
if not ppm_files:
raise RuntimeError(f"No rendered pages were produced for '{pdf_path}'")
images = []
for ppm_file in ppm_files:
with Image.open(ppm_file) as img:
images.append(np.array(img.convert("RGB"), dtype=np.uint8))
return images
def compare_rendered_pages(ref_img, target_img):
"""Return (different_pixels, total_pixels) for two rendered RGB pages."""
ref_h, ref_w = ref_img.shape[:2]
tgt_h, tgt_w = target_img.shape[:2]
total_pixels = max(ref_h, tgt_h) * max(ref_w, tgt_w)
if ref_h == tgt_h and ref_w == tgt_w:
different_pixels = int(np.count_nonzero(np.any(ref_img != target_img, axis=2)))
return different_pixels, total_pixels
diff_mask = np.ones((max(ref_h, tgt_h), max(ref_w, tgt_w)), dtype=bool)
overlap_h = min(ref_h, tgt_h)
overlap_w = min(ref_w, tgt_w)
overlap_diff = np.any(ref_img[:overlap_h, :overlap_w] != target_img[:overlap_h, :overlap_w], axis=2)
diff_mask[:overlap_h, :overlap_w] = overlap_diff
different_pixels = int(np.count_nonzero(diff_mask))
return different_pixels, total_pixels
def compare_pdf_images(ref_pdf, target_pdf, dpi=150, threshold_percent=0.001):
"""Compare two PDFs by rasterizing them and counting differing pixels."""
ref_pages = render_pdf_to_images(ref_pdf, dpi=dpi)
target_pages = render_pdf_to_images(target_pdf, dpi=dpi)
total_pixels = 0
different_pixels = 0
max_pages = max(len(ref_pages), len(target_pages))
for page_idx in range(max_pages):
if page_idx < len(ref_pages) and page_idx < len(target_pages):
page_diff, page_total = compare_rendered_pages(ref_pages[page_idx], target_pages[page_idx])
else:
existing_page = ref_pages[page_idx] if page_idx < len(ref_pages) else target_pages[page_idx]
page_total = existing_page.shape[0] * existing_page.shape[1]
page_diff = page_total
total_pixels += page_total
different_pixels += page_diff
diff_percent = (different_pixels / total_pixels * 100.0) if total_pixels else 0.0
return {
"different_pixels": different_pixels,
"total_pixels": total_pixels,
"diff_percent": diff_percent,
"pages_ref": len(ref_pages),
"pages_target": len(target_pages),
"passed": diff_percent < threshold_percent
}
def compare_required_figures(reference_figure_dir, target_figure_dir):
"""Compare the required GW150914 figure PDFs."""
figure_names = [
"ADM_Constraint_Grid_Level_0.pdf",
"BH_Trajectory_21_XY.pdf",
"BH_Trajectory_XY.pdf"
]
results = []
for figure_name in figure_names:
ref_pdf = os.path.join(reference_figure_dir, figure_name)
target_pdf = os.path.join(target_figure_dir, figure_name)
if not os.path.exists(ref_pdf):
raise FileNotFoundError(f"Reference figure not found: {ref_pdf}")
if not os.path.exists(target_pdf):
raise FileNotFoundError(f"Target figure not found: {target_pdf}")
comparison = compare_pdf_images(ref_pdf, target_pdf)
comparison["name"] = figure_name
results.append(comparison)
return results
data.append([float(x) for x in parts[:8]])
return np.array(data)
def calculate_all_rms_errors(bh_data_ref, bh_data_target):
"""
@@ -300,7 +165,7 @@ def print_rms_results(rms_dict, error, threshold=1.0):
return all_passed
def print_constraint_results(results, threshold=2.0):
def print_constraint_results(results, threshold=2.0):
print(f"\n{Color.BOLD}2. ADM Constraint Violation Analysis (Grid Level 0){Color.RESET}")
print("-" * 65)
@@ -315,49 +180,22 @@ def print_constraint_results(results, threshold=2.0):
print(f"\n Maximum violation: {results['max_violation']:.6f}")
print(f" Requirement: < {threshold}")
print(f" Status: {get_status_text(passed)}")
return passed
def print_figure_results(results, threshold_percent=0.001):
print(f"\n{Color.BOLD}3. Figure Pixel Comparison (PDF Rasterization){Color.RESET}")
print("-" * 65)
print(f" Requirement: < {threshold_percent:.3f}% differing pixels\n")
all_passed = True
for result in results:
passed = result["passed"]
all_passed = all_passed and passed
status = get_status_text(passed)
print(f" {result['name']:32}: {result['diff_percent']:10.6f}% | Status: {status}")
if result["pages_ref"] != result["pages_target"]:
print(f" {'':32} pages(ref/target): {result['pages_ref']}/{result['pages_target']}")
return all_passed
def print_figure_error(error_message):
print(f"\n{Color.BOLD}3. Figure Pixel Comparison (PDF Rasterization){Color.RESET}")
print("-" * 65)
print(f" {Color.RED}Error: {error_message}{Color.RESET}")
return False
def print_summary(rms_passed, constraint_passed, figure_passed):
print("\n" + Color.BLUE + Color.BOLD + "=" * 65 + Color.RESET)
print(Color.BOLD + "Verification Summary" + Color.RESET)
print(Color.BLUE + Color.BOLD + "=" * 65 + Color.RESET)
all_passed = rms_passed and constraint_passed and figure_passed
res_rms = get_status_text(rms_passed)
res_con = get_status_text(constraint_passed)
res_fig = get_status_text(figure_passed)
print(f" [1] Comprehensive RMS check: {res_rms}")
print(f" [2] ADM constraint check: {res_con}")
print(f" [3] Figure pixel comparison: {res_fig}")
return passed
def print_summary(rms_passed, constraint_passed):
print("\n" + Color.BLUE + Color.BOLD + "=" * 65 + Color.RESET)
print(Color.BOLD + "Verification Summary" + Color.RESET)
print(Color.BLUE + Color.BOLD + "=" * 65 + Color.RESET)
all_passed = rms_passed and constraint_passed
res_rms = get_status_text(rms_passed)
res_con = get_status_text(constraint_passed)
print(f" [1] Comprehensive RMS check: {res_rms}")
print(f" [2] ADM constraint check: {res_con}")
final_status = f"{Color.GREEN}{Color.BOLD}ALL CHECKS PASSED{Color.RESET}" if all_passed else f"{Color.RED}{Color.BOLD}SOME CHECKS FAILED{Color.RESET}"
print(f"\n Overall result: {final_status}")
@@ -372,14 +210,12 @@ def main():
script_dir = os.path.dirname(os.path.abspath(__file__))
target_dir = os.path.join(script_dir, "GW150914/AMSS_NCKU_output")
script_dir = os.path.dirname(os.path.abspath(__file__))
reference_dir = os.path.join(script_dir, "GW150914-origin/AMSS_NCKU_output")
target_figure_dir = resolve_figure_dir(target_dir)
reference_figure_dir = os.path.join(script_dir, "GW150914-origin/figure")
bh_file_ref = os.path.join(reference_dir, "bssn_BH.dat")
bh_file_target = os.path.join(target_dir, "bssn_BH.dat")
constraint_file = os.path.join(target_dir, "bssn_constraint.dat")
script_dir = os.path.dirname(os.path.abspath(__file__))
reference_dir = os.path.join(script_dir, "GW150914-origin/AMSS_NCKU_output")
bh_file_ref = os.path.join(reference_dir, "bssn_BH.dat")
bh_file_target = os.path.join(target_dir, "bssn_BH.dat")
constraint_file = os.path.join(target_dir, "bssn_constraint.dat")
if not os.path.exists(bh_file_ref):
print(f"{Color.RED}{Color.BOLD}Error:{Color.RESET} Baseline trajectory file not found: {bh_file_ref}")
@@ -391,11 +227,9 @@ def main():
print(f"{Color.RED}{Color.BOLD}Error:{Color.RESET} Constraint data file not found: {constraint_file}")
sys.exit(1)
print_header()
print(f"\n{Color.BOLD}Reference (Baseline):{Color.RESET} {Color.BLUE}{reference_dir}{Color.RESET}")
print(f"{Color.BOLD}Target (Optimized): {Color.RESET} {Color.BLUE}{target_dir}{Color.RESET}")
print(f"{Color.BOLD}Reference Figures: {Color.RESET} {Color.BLUE}{reference_figure_dir}{Color.RESET}")
print(f"{Color.BOLD}Target Figures: {Color.RESET} {Color.BLUE}{target_figure_dir}{Color.RESET}")
print_header()
print(f"\n{Color.BOLD}Reference (Baseline):{Color.RESET} {Color.BLUE}{reference_dir}{Color.RESET}")
print(f"{Color.BOLD}Target (Optimized): {Color.RESET} {Color.BLUE}{target_dir}{Color.RESET}")
bh_data_ref = load_bh_trajectory(bh_file_ref)
bh_data_target = load_bh_trajectory(bh_file_target)
@@ -405,18 +239,12 @@ def main():
rms_dict, error = calculate_all_rms_errors(bh_data_ref, bh_data_target)
rms_passed = print_rms_results(rms_dict, error)
# Output constraint results
constraint_results = analyze_constraint_violation(constraint_data)
constraint_passed = print_constraint_results(constraint_results)
try:
figure_results = compare_required_figures(reference_figure_dir, target_figure_dir)
figure_passed = print_figure_results(figure_results)
except (FileNotFoundError, RuntimeError) as exc:
figure_passed = print_figure_error(str(exc))
all_passed = print_summary(rms_passed, constraint_passed, figure_passed)
sys.exit(0 if all_passed else 1)
# Output constraint results
constraint_results = analyze_constraint_violation(constraint_data)
constraint_passed = print_constraint_results(constraint_results)
all_passed = print_summary(rms_passed, constraint_passed)
sys.exit(0 if all_passed else 1)
if __name__ == "__main__":
main()

View File

@@ -23,22 +23,20 @@ using namespace std;
#include <mpi.h>
#include "misc.h"
#include "macrodef.h"
#include "macrodef.h"
#ifdef USE_GPU
extern void bssn_cuda_dump_stage_profile();
#endif
#ifndef ABEtype
#error "not define ABEtype"
#endif
#if (ABEtype == 0)
#ifdef USE_GPU
#include "bssn_gpu_class.h"
#else
#include "bssn_class.h"
#endif
#elif (ABEtype == 1)
#include "bssnEScalar_class.h"
#if (ABEtype == 0)
#include "bssn_class.h"
#elif (ABEtype == 1)
#include "bssnEScalar_class.h"
#elif (ABEtype == 2)
#include "Z4c_class.h"
@@ -198,16 +196,16 @@ int main(int argc, char *argv[])
if (myrank == 0)
{
string out_dir;
string filename;
map<string, string>::iterator iter;
iter = parameters::str_par.find("output dir");
if (iter != parameters::str_par.end())
{
out_dir = iter->second;
}
filename = out_dir + "/setting.par";
ofstream setfile;
setfile.open(filename.c_str(), ios::trunc);
char filename[50];
map<string, string>::iterator iter;
iter = parameters::str_par.find("output dir");
if (iter != parameters::str_par.end())
{
out_dir = iter->second;
}
sprintf(filename, "%s/setting.par", out_dir.c_str());
ofstream setfile;
setfile.open(filename, ios::trunc);
if (!setfile.good())
{
@@ -474,21 +472,20 @@ int main(int argc, char *argv[])
cout << endl;
}
ADM->Evolve(Steps);
if (myrank == 0)
{
ADM->Evolve(Steps);
#ifdef USE_GPU
bssn_cuda_dump_stage_profile();
#endif
if (myrank == 0)
{
cout << endl;
cout << " Total Evolve Time: " << MPI_Wtime() - End_clock << " seconds!" << endl;
cout << " Total Running Time: " << MPI_Wtime() - Begin_clock << " seconds!" << endl;
cout << endl;
}
// Let the process teardown reclaim the simulation object. Some derived
// equation classes keep MPI/CUDA-backed state whose destructor ordering
// is fragile at program shutdown.
if (getenv("AMSS_DELETE_ADM_ON_EXIT"))
delete ADM;
delete ADM;
//=======================caculation done=============================================================

View File

@@ -6,68 +6,18 @@
#include <cstdio>
#include <string>
#include <cmath>
#include <new>
using namespace std;
#include <new>
using namespace std;
#include "Block.h"
#include "misc.h"
#if USE_CUDA_BSSN || USE_CUDA_Z4C
#include <cuda_runtime_api.h>
#ifdef USE_GPU
#include "bssn_gpu.h"
#include "bssn_cuda_ops.h"
#endif
namespace {
bool cuda_pin_gridfuncs_enabled()
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_PIN_GRIDFUNCS");
enabled = (env && atoi(env) != 0) ? 1 : 0;
}
return enabled != 0;
}
double *alloc_gridfunc(size_t count, unsigned char &pinned)
{
pinned = 0;
#if USE_CUDA_BSSN || USE_CUDA_Z4C
if (cuda_pin_gridfuncs_enabled())
{
double *ptr = 0;
cudaError_t err = cudaMallocHost((void **)&ptr, count * sizeof(double));
if (err == cudaSuccess)
{
pinned = 1;
return ptr;
}
cudaGetLastError();
}
#endif
return (double *)malloc(sizeof(double) * count);
}
void free_gridfunc(double *ptr, unsigned char pinned)
{
if (!ptr)
return;
#if USE_CUDA_BSSN || USE_CUDA_Z4C
if (pinned)
{
cudaFreeHost(ptr);
return;
}
#else
(void)pinned;
#endif
free(ptr);
}
}
Block::Block(int DIM, int *shapei, double *bboxi, int ranki, int ingfsi, int fngfsi, int levi, const int cgpui) : rank(ranki), lev(levi), cgpu(cgpui), ingfs(ingfsi), fngfs(fngfsi), igfs(0), fgfs(0), fgfs_pinned(0)
{
Block::Block(int DIM, int *shapei, double *bboxi, int ranki, int ingfsi, int fngfsi, int levi, const int cgpui) : rank(ranki), ingfs(ingfsi), fngfs(fngfsi), lev(levi), cgpu(cgpui)
{
for (int i = 0; i < dim; i++)
X[i] = 0;
@@ -122,15 +72,14 @@ Block::Block(int DIM, int *shapei, double *bboxi, int ranki, int ingfsi, int fng
#endif
}
int nn = shape[0] * shape[1] * shape[2];
fgfs = new double *[fngfs];
fgfs_pinned = new unsigned char[fngfs];
for (int i = 0; i < fngfs; i++)
{
fgfs[i] = alloc_gridfunc((size_t)nn, fgfs_pinned[i]);
if (!(fgfs[i]))
{
cout << "on node#" << rank << ", out of memory when constructing Block." << endl;
int nn = shape[0] * shape[1] * shape[2];
fgfs = new double *[fngfs];
for (int i = 0; i < fngfs; i++)
{
fgfs[i] = (double *)malloc(sizeof(double) * nn);
if (!(fgfs[i]))
{
cout << "on node#" << rank << ", out of memory when constructing Block." << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
memset(fgfs[i], 0, sizeof(double) * nn);
@@ -150,27 +99,30 @@ Block::Block(int DIM, int *shapei, double *bboxi, int ranki, int ingfsi, int fng
}
#endif
}
Block::~Block()
{
int myrank;
MPI_Comm_rank(MPI_COMM_WORLD, &myrank);
if (myrank == rank)
{
for (int i = 0; i < dim; i++)
delete[] X[i];
for (int i = 0; i < ingfs; i++)
free(igfs[i]);
delete[] igfs;
for (int i = 0; i < fngfs; i++)
free_gridfunc(fgfs[i], fgfs_pinned ? fgfs_pinned[i] : 0);
delete[] fgfs;
delete[] fgfs_pinned;
X[0] = X[1] = X[2] = 0;
igfs = 0;
fgfs = 0;
fgfs_pinned = 0;
}
}
Block::~Block()
{
int myrank;
MPI_Comm_rank(MPI_COMM_WORLD, &myrank);
if (myrank == rank)
{
#ifdef USE_GPU
bssn_gpu_clear_cached_device_buffers();
bssn_cuda_release_rk4_caches();
bssn_cuda_release_interp_caches();
#endif
for (int i = 0; i < dim; i++)
delete[] X[i];
for (int i = 0; i < ingfs; i++)
free(igfs[i]);
delete[] igfs;
for (int i = 0; i < fngfs; i++)
free(fgfs[i]);
delete[] fgfs;
X[0] = X[1] = X[2] = 0;
igfs = 0;
fgfs = 0;
}
}
void Block::checkBlock()
{
int myrank;
@@ -241,14 +193,12 @@ void Block::swapList(MyList<var> *VarList1, MyList<var> *VarList2, int myrank)
if (rank == myrank)
{
MyList<var> *varl1 = VarList1, *varl2 = VarList2;
while (varl1 && varl2)
{
misc::swap<double *>(fgfs[varl1->data->sgfn], fgfs[varl2->data->sgfn]);
if (fgfs_pinned)
misc::swap<unsigned char>(fgfs_pinned[varl1->data->sgfn], fgfs_pinned[varl2->data->sgfn]);
varl1 = varl1->next;
varl2 = varl2->next;
}
while (varl1 && varl2)
{
misc::swap<double *>(fgfs[varl1->data->sgfn], fgfs[varl2->data->sgfn]);
varl1 = varl1->next;
varl2 = varl2->next;
}
if (varl1 || varl2)
{
cout << "error in Block::swaplist, var lists does not match." << endl;

View File

@@ -13,15 +13,14 @@ public:
int shape[dim];
double bbox[2 * dim];
double *X[dim];
int rank; // where the real data locate in
int lev, cgpu;
int ingfs, fngfs;
int *(*igfs);
double *(*fgfs);
unsigned char *fgfs_pinned;
int rank; // where the real data locate in
int lev, cgpu;
int ingfs, fngfs;
int *(*igfs);
double *(*fgfs);
public:
Block() : rank(0), lev(0), cgpu(0), ingfs(0), fngfs(0), igfs(0), fgfs(0), fgfs_pinned(0) {};
Block() {};
Block(int DIM, int *shapei, double *bboxi, int ranki, int ingfsi, int fngfs, int levi, const int cgpui = 0);
~Block();

File diff suppressed because it is too large Load Diff

View File

@@ -8,7 +8,7 @@
#include "var.h"
#include "macrodef.h" //need dim here; Vertex or Cell; ghost_width
class Patch
class Patch
{
public:
@@ -50,6 +50,8 @@ public:
double *Shellf, int Symmetry, MPI_Comm Comm_here);
void Find_Maximum(MyList<var> *VarList, double *XX,
double *Shellf, MPI_Comm Comm_here);
};
#endif /* PATCH_H */
};
void patch_release_interp_plan_cache();
#endif /* PATCH_H */

File diff suppressed because it is too large Load Diff

View File

@@ -89,9 +89,12 @@ namespace Parallel
void transfermix(MyList<gridseg> **src, MyList<gridseg> **dst,
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /*target */,
int Symmetry);
void Sync(Patch *Pat, MyList<var> *VarList, int Symmetry);
void Sync(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry);
void Sync_merged(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry);
void Sync(Patch *Pat, MyList<var> *VarList, int Symmetry);
void Sync(Patch *Pat, MyList<var> *VarList, int Symmetry, const char *context);
void Sync(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry);
void Sync(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry, const char *context);
void Sync_merged(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry);
void Sync_merged(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry, const char *context);
struct SyncCache {
bool valid;
@@ -104,46 +107,38 @@ namespace Parallel
double **recv_bufs;
int *send_buf_caps;
int *recv_buf_caps;
unsigned char *send_buf_pinned;
unsigned char *recv_buf_pinned;
unsigned char *send_buf_is_dev;
unsigned char *recv_buf_is_dev;
int *send_buf_caps_dev;
int *recv_buf_caps_dev;
double **send_bufs_dev;
double **recv_bufs_dev;
MPI_Request *reqs;
MPI_Status *stats;
int max_reqs;
bool lengths_valid;
int *tc_req_node;
int *tc_req_is_recv;
int *tc_completed;
bool cuda_aware_mode;
MPI_Status *stats;
int max_reqs;
bool lengths_valid;
int lengths_var_count;
int *tc_req_node;
int *tc_req_is_recv;
int *tc_completed;
SyncCache();
void invalidate();
void destroy();
};
void Sync_cached(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry, SyncCache &cache);
void Sync_ensure_cache(MyList<Patch> *PatL, int Symmetry, SyncCache &cache);
void transfer_cached(MyList<gridseg> **src, MyList<gridseg> **dst,
MyList<var> *VarList1, MyList<var> *VarList2,
int Symmetry, SyncCache &cache);
struct AsyncSyncState {
int req_no;
bool active;
int *req_node;
int *req_is_recv;
int pending_recv;
AsyncSyncState() : req_no(0), active(false), req_node(0), req_is_recv(0), pending_recv(0) {}
};
struct AsyncSyncState {
int req_no;
bool active;
int mpi_tag;
int *req_node;
int *req_is_recv;
int pending_recv;
AsyncSyncState() : req_no(0), active(false), mpi_tag(0), req_node(0), req_is_recv(0), pending_recv(0) {}
};
void Sync_start(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry,
SyncCache &cache, AsyncSyncState &state);
void Sync_finish(SyncCache &cache, AsyncSyncState &state,
MyList<var> *VarList, int Symmetry);
void Sync_start(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry,
SyncCache &cache, AsyncSyncState &state);
void Sync_finish(SyncCache &cache, AsyncSyncState &state,
MyList<var> *VarList, int Symmetry, bool unpack_to_host = true);
void OutBdLow2Hi(Patch *Patc, Patch *Patf,
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */,
int Symmetry);
@@ -193,7 +188,6 @@ namespace Parallel
MyList<Parallel::gridseg> **out_src, MyList<Parallel::gridseg> **out_dst);
void PeriodicBD(Patch *Pat, MyList<var> *VarList, int Symmetry);
double L2Norm(Patch *Pat, var *vf);
void L2Norm7(Patch *Pat, var **vf, double *norms);
void checkgsl(MyList<Parallel::gridseg> *pp, bool first_only);
void checkvarl(MyList<var> *pp, bool first_only);
MyList<Parallel::gridseg> *divide_gsl(MyList<Parallel::gridseg> *p, Patch *Pat);
@@ -229,7 +223,6 @@ namespace Parallel
void checkpatchlist(MyList<Patch> *PatL, bool buflog);
double L2Norm(Patch *Pat, var *vf, MPI_Comm Comm_here);
void L2Norm7(Patch *Pat, var **vf, double *norms, MPI_Comm Comm_here);
bool PatList_Interp_Points(MyList<Patch> *PatL, MyList<var> *VarList,
int NN, double **XX,
double *Shellf, int Symmetry, MPI_Comm Comm_here);

File diff suppressed because it is too large Load Diff

View File

@@ -102,16 +102,6 @@ public:
//-1: means no dumy dimension at all; 0: means rho; 1: means sigma
};
// Thread-safe search result (no pointers to shared mutable state)
struct PointSearchResult
{
bool found;
Block *Bg;
double gx, gy, gz; // global Cartesian coordinates
double lx, ly, lz; // local coordinates within the found block
int ssst; // source shell-patch type (-1 = Cartesian)
};
int myrank;
int shape[dim]; // for (rho, sigma, R), for rho and sigma means number of points for every pi/2
double Rrange[2]; // for Rmin and Rmax
@@ -185,12 +175,6 @@ public:
MyList<Patch> *Pp, double CDH[dim], MyList<pointstru> *pss);
bool prolongpointstru(MyList<pointstru> *&psul, bool ssyn, int tsst, MyList<ss_patch> *sPp, double DH[dim],
MyList<Patch> *Pp, double CDH[dim], double x, double y, double z, int Symmetry, int rank_in);
// Read-only point search — thread-safe (no shared mutable state modified)
PointSearchResult prolongpointstru_search(bool ssyn, int tsst, MyList<ss_patch> *sPp, double DH[dim],
MyList<Patch> *Pp, double CDH[dim], double x, double y, double z,
int Symmetry, int rank_in);
// Append a search result to a linked list — use inside omp critical section
void prolongpointstru_append(MyList<pointstru> *&psul, const PointSearchResult &sr, int tsst);
void setupintintstuff(int cpusize, MyList<Patch> *CPatL, int Symmetry);
void intertransfer(MyList<pointstru> **src, MyList<pointstru> **dst,
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /*target */,
@@ -214,7 +198,6 @@ public:
void write_Pablo_file_ss(int *ext, double xmin, double xmax, double ymin, double ymax, double zmin, double zmax,
char *filename, int sst);
double L2Norm(var *vf);
void L2Norm7(var **vf, double *norms);
void Find_Maximum(MyList<var> *VarList, double *XX, double *Shellf);
};

View File

@@ -3,7 +3,6 @@
#include <sstream>
#include <cstdio>
#include <map>
#include <string>
using namespace std;
#else
#include <stdio.h>
@@ -29,20 +28,6 @@ using namespace std;
#include "kodiss.h"
#include "parameters.h"
#ifndef USE_CUDA_Z4C
#define USE_CUDA_Z4C 0
#endif
#if USE_CUDA_Z4C && (ABEtype == 2)
#include "z4c_rhs_cuda.h"
#endif
#if USE_CUDA_BSSN
#include "bssn_rhs_cuda.h"
#ifdef WithShell
#include "bssn_gpu.h"
#endif
#endif
#ifdef With_AHF
#include "derivatives.h"
#include "myglobal.h"
@@ -52,81 +37,6 @@ using namespace std;
// Define Z4c_class
#if USE_CUDA_Z4C && (ABEtype == 2) && defined(WithShell)
// GPU-accelerated Z4C shell RHS: same parameter signature as f_compute_rhs_Z4c_ss.
// Internally calls gpu_rhs_z4c_ss which modifies trK→trKd before upload,
// runs BSSN algebraic kernels, then applies Z4C post-processing (TZ_rhs, damping).
extern "C" {
static int cuda_compute_rhs_z4c_ss(
int *ex, double &T, double *crho, double *sigma, double *R,
double *X, double *Y, double *Z,
double *drhodx, double *drhody, double *drhodz,
double *dsigmadx, double *dsigmady, double *dsigmadz,
double *dRdx, double *dRdy, double *dRdz,
double *drhodxx, double *drhodxy, double *drhodxz, double *drhodyy, double *drhodyz, double *drhodzz,
double *dsigmadxx, double *dsigmadxy, double *dsigmadxz, double *dsigmadyy, double *dsigmadyz, double *dsigmadzz,
double *dRdxx, double *dRdxy, double *dRdxz, double *dRdyy, double *dRdyz, double *dRdzz,
double *chi, double *trK,
double *gxx, double *gxy, double *gxz, double *gyy, double *gyz, double *gzz,
double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz,
double *Gamx, double *Gamy, double *Gamz,
double *Lap, double *betax, double *betay, double *betaz,
double *dtSfx, double *dtSfy, double *dtSfz,
double *TZ,
double *chi_rhs, double *trK_rhs,
double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs,
double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs,
double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs,
double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs,
double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs,
double *TZ_rhs,
double *rho_mat, double *Sx, double *Sy, double *Sz,
double *Sxx, double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz,
double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz,
double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz,
double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz,
double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz,
double *ham_Res, double *movx_Res, double *movy_Res, double *movz_Res,
double *Gmx_Res, double *Gmy_Res, double *Gmz_Res,
int &Symmetry, int &Lev, double &eps, int &sst, int &co)
{
return gpu_rhs_z4c_ss(0, 0, // calledby=ABE_main, mpi_rank=device_0
ex, T, crho, sigma, R, X, Y, Z,
drhodx, drhody, drhodz,
dsigmadx, dsigmady, dsigmadz,
dRdx, dRdy, dRdz,
drhodxx, drhodxy, drhodxz, drhodyy, drhodyz, drhodzz,
dsigmadxx, dsigmadxy, dsigmadxz, dsigmadyy, dsigmadyz, dsigmadzz,
dRdxx, dRdxy, dRdxz, dRdyy, dRdyz, dRdzz,
chi, trK,
gxx, gxy, gxz, gyy, gyz, gzz,
Axx, Axy, Axz, Ayy, Ayz, Azz,
Gamx, Gamy, Gamz,
Lap, betax, betay, betaz,
dtSfx, dtSfy, dtSfz,
TZ,
chi_rhs, trK_rhs,
gxx_rhs, gxy_rhs, gxz_rhs, gyy_rhs, gyz_rhs, gzz_rhs,
Axx_rhs, Axy_rhs, Axz_rhs, Ayy_rhs, Ayz_rhs, Azz_rhs,
Gamx_rhs, Gamy_rhs, Gamz_rhs,
Lap_rhs, betax_rhs, betay_rhs, betaz_rhs,
dtSfx_rhs, dtSfy_rhs, dtSfz_rhs,
TZ_rhs,
rho_mat, Sx, Sy, Sz,
Sxx, Sxy, Sxz, Syy, Syz, Szz,
Gamxxx, Gamxxy, Gamxxz, Gamxyy, Gamxyz, Gamxzz,
Gamyxx, Gamyxy, Gamyxz, Gamyyy, Gamyyz, Gamyzz,
Gamzxx, Gamzxy, Gamzxz, Gamzyy, Gamzyz, Gamzzz,
Rxx, Rxy, Rxz, Ryy, Ryz, Rzz,
ham_Res, movx_Res, movy_Res, movz_Res,
Gmx_Res, Gmy_Res, Gmz_Res,
Symmetry, Lev, eps, sst, co);
}
}
// Redirect all Z4C shell RHS calls in Step/SHStep to GPU
#define f_compute_rhs_Z4c_ss cuda_compute_rhs_z4c_ss
#endif
// This class inherits some members and methods from the parent `bssn_class` and modifies others.
// The modified members and methods are defined below (and in the header Z4c_class.h).
// The remaining members/methods are inherited from `bssn_class` (declared in bssn_class.h).
@@ -222,13 +132,6 @@ void Z4c_class::Initialize()
PhysTime = StartTime;
Setup_Black_Hole_position();
}
sync_cache_pre = new Parallel::SyncCache[GH->levels];
sync_cache_cor = new Parallel::SyncCache[GH->levels];
sync_cache_rp_coarse = new Parallel::SyncCache[GH->levels];
sync_cache_rp_fine = new Parallel::SyncCache[GH->levels];
sync_cache_restrict = new Parallel::SyncCache[GH->levels];
sync_cache_outbd = new Parallel::SyncCache[GH->levels];
}
//================================================================================================
@@ -262,581 +165,13 @@ Z4c_class::~Z4c_class()
//================================================================================================
#ifndef AMSS_Z4C_MRBD
#define AMSS_Z4C_MRBD 0
#endif
#define MRBD AMSS_Z4C_MRBD // 0: fix BD for meshrefinement level; 1: sommerfeld_bam for them; 2: sommerfeld_yo for them
#define MRBD 0 // 0: fix BD for meshrefinement level; 1: sommerfeld_bam for them; 2: sommerfeld_yo for them
#ifndef CPBC
// for sommerfeld boundary
#if USE_CUDA_Z4C && (ABEtype == 2)
#if (MRBD == 2)
#error "USE_CUDA_Z4C resident path does not support MRBD == 2"
#endif
namespace {
static const int k_z4c_cuda_bh_state_indices[3] = {18, 19, 20};
bool fill_z4c_cuda_views(Block *cg, MyList<var> *vars,
double **host_views,
double *propspeeds = 0,
double *soa_flat = 0)
{
int idx = 0;
while (vars && idx < Z4C_CUDA_STATE_COUNT)
{
host_views[idx] = cg->fgfs[vars->data->sgfn];
if (propspeeds)
propspeeds[idx] = vars->data->propspeed;
if (soa_flat)
{
soa_flat[3 * idx + 0] = vars->data->SoA[0];
soa_flat[3 * idx + 1] = vars->data->SoA[1];
soa_flat[3 * idx + 2] = vars->data->SoA[2];
}
vars = vars->next;
++idx;
}
return idx == Z4C_CUDA_STATE_COUNT && vars == 0;
}
void z4c_cuda_download_level_state(MyList<Patch> *PatL, MyList<var> *vars, int myrank, bool release_ctx)
{
MyList<Patch> *Pp = PatL;
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank && z4c_cuda_has_resident_state(cg))
{
double *state_out[Z4C_CUDA_STATE_COUNT];
if (!fill_z4c_cuda_views(cg, vars, state_out))
{
cout << "CUDA Z4C state list mismatch on resident state download" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
if (z4c_cuda_download_resident_state(cg, cg->shape, state_out))
{
cout << "CUDA Z4C resident state download failed" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
if (release_ctx)
z4c_cuda_release_step_ctx(cg);
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
}
bool z4c_cuda_patch_contains_point(Patch *patch, const double *point)
{
if (!patch)
return false;
for (int d = 0; d < dim; d++)
{
const double h = patch->getdX(d);
const double lo = patch->bbox[d] + patch->lli[d] * h;
const double hi = patch->bbox[dim + d] - patch->uui[d] * h;
if (point[d] < lo || point[d] > hi)
return false;
}
return true;
}
bool z4c_cuda_point_in_block(Patch *patch, Block *block,
const double *point, const double *DH)
{
if (!patch || !block)
return false;
for (int d = 0; d < dim; d++)
{
double llb;
double uub;
#ifdef Vertex
#ifdef Cell
#error Both Cell and Vertex are defined
#endif
llb = (feq(block->bbox[d], patch->bbox[d], DH[d] / 2))
? block->bbox[d] + patch->lli[d] * DH[d]
: block->bbox[d] + (ghost_width - 0.5) * DH[d];
uub = (feq(block->bbox[dim + d], patch->bbox[dim + d], DH[d] / 2))
? block->bbox[dim + d] - patch->uui[d] * DH[d]
: block->bbox[dim + d] - (ghost_width - 0.5) * DH[d];
#else
#ifdef Cell
llb = (feq(block->bbox[d], patch->bbox[d], DH[d] / 2))
? block->bbox[d] + patch->lli[d] * DH[d]
: block->bbox[d] + ghost_width * DH[d];
uub = (feq(block->bbox[dim + d], patch->bbox[dim + d], DH[d] / 2))
? block->bbox[dim + d] - patch->uui[d] * DH[d]
: block->bbox[dim + d] - ghost_width * DH[d];
#else
#error Not define Vertex nor Cell
#endif
#endif
if (point[d] - llb < -DH[d] / 2 || point[d] - uub > DH[d] / 2)
return false;
}
return true;
}
int z4c_cuda_interp_tile_start(const double *coords, int n, double x, double dx, int ordn)
{
if (!coords || n <= ordn)
return 0;
int cxi = int((x - coords[0]) / dx + 0.4) + 1;
int start = cxi - ordn / 2;
if (start < 0)
start = 0;
const int max_start = n - ordn;
if (start > max_start)
start = max_start;
return start;
}
bool z4c_cuda_interp_bh_point_resident(MyList<Patch> *PatL,
int myrank,
const double *point,
var *forx, var *fory, var *forz,
int Symmetry,
double *shellf)
{
const int ordn = 2 * ghost_width;
int owner_rank = -1;
shellf[0] = shellf[1] = shellf[2] = 0.0;
MyList<Patch> *PL = PatL;
while (PL)
{
Patch *patch = PL->data;
if (!z4c_cuda_patch_contains_point(patch, point))
{
PL = PL->next;
continue;
}
double DH[dim];
for (int d = 0; d < dim; d++)
DH[d] = patch->getdX(d);
MyList<Block> *BP = patch->blb;
while (BP)
{
Block *block = BP->data;
if (z4c_cuda_point_in_block(patch, block, point, DH))
{
owner_rank = block->rank;
if (myrank == owner_rank)
{
int interp_ordn = ordn;
int interp_sym = Symmetry;
double x = point[0];
double y = point[1];
double z = point[2];
if (z4c_cuda_has_resident_state(block) &&
block->shape[0] >= ordn && block->shape[1] >= ordn && block->shape[2] >= ordn)
{
const int sx = ordn;
const int sy = ordn;
const int sz = ordn;
const int region_all = sx * sy * sz;
const int i0 = z4c_cuda_interp_tile_start(block->X[0], block->shape[0], x, DH[0], ordn);
const int j0 = z4c_cuda_interp_tile_start(block->X[1], block->shape[1], y, DH[1], ordn);
const int k0 = z4c_cuda_interp_tile_start(block->X[2], block->shape[2], z, DH[2], ordn);
double *packed_fields = new double[3 * region_all];
var *vars[3] = {forx, fory, forz};
for (int f = 0; f < 3; f++)
{
if (z4c_cuda_pack_state_region_to_host_buffer(block,
k_z4c_cuda_bh_state_indices[f],
packed_fields + f * region_all,
block->shape,
i0, j0, k0,
sx, sy, sz) != 0)
{
delete[] packed_fields;
cout << "CUDA Z4C BH tile download failed" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
int tile_shape[3] = {sx, sy, sz};
f_global_interp(tile_shape,
block->X[0] + i0,
block->X[1] + j0,
block->X[2] + k0,
packed_fields + f * region_all,
shellf[f],
x, y, z,
interp_ordn,
vars[f]->SoA,
interp_sym);
}
delete[] packed_fields;
}
else
{
f_global_interp(block->shape, block->X[0], block->X[1], block->X[2],
block->fgfs[forx->sgfn], shellf[0],
x, y, z, interp_ordn, forx->SoA, interp_sym);
f_global_interp(block->shape, block->X[0], block->X[1], block->X[2],
block->fgfs[fory->sgfn], shellf[1],
x, y, z, interp_ordn, fory->SoA, interp_sym);
f_global_interp(block->shape, block->X[0], block->X[1], block->X[2],
block->fgfs[forz->sgfn], shellf[2],
x, y, z, interp_ordn, forz->SoA, interp_sym);
}
}
break;
}
if (BP == patch->ble)
break;
BP = BP->next;
}
if (owner_rank >= 0)
break;
PL = PL->next;
}
if (owner_rank < 0)
return false;
MPI_Bcast(shellf, 3, MPI_DOUBLE, owner_rank, MPI_COMM_WORLD);
return true;
}
bool z4c_cuda_compute_porg_rhs_resident(cgh *GH,
int ilev,
int myrank,
int BH_num,
double **BH_PS,
double **BH_RHS,
var *forx, var *fory, var *forz,
int Symmetry)
{
for (int n = 0; n < BH_num; n++)
{
double shellf[3] = {0.0, 0.0, 0.0};
int lev = ilev;
while (lev >= 0 &&
!z4c_cuda_interp_bh_point_resident(GH->PatL[lev], myrank, BH_PS[n],
forx, fory, forz, Symmetry, shellf))
{
--lev;
}
if (lev < 0)
return false;
BH_RHS[n][0] = -shellf[0];
BH_RHS[n][1] = -shellf[1];
BH_RHS[n][2] = -shellf[2];
}
return true;
}
bool z4c_cuda_resident_step_enabled()
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_Z4C_CUDA_RESIDENT");
enabled = (env && atoi(env) != 0) ? 1 : 0;
}
return enabled != 0;
}
} // namespace
#endif
void Z4c_class::Step(int lev, int YN)
{
#if USE_CUDA_Z4C && (ABEtype == 2)
double dT_lev = dT * pow(0.5, Mymax(lev, trfls));
#ifdef With_AHF
AH_Step_Find(lev, dT_lev);
#endif
bool BB = fgt(PhysTime, StartTime, dT_lev / 2);
double ndeps = numepss;
if (lev < GH->movls)
ndeps = numepsb;
double TRK4 = PhysTime;
int iter_count = 0;
int pre = 0, cor = 1;
int ERROR = 0;
#ifdef WithShell
if (bssn_cuda_use_resident_sync(lev))
{
for (int dl = 0; dl < GH->levels; dl++)
bssn_cuda_download_level_state_if_present(GH->PatL[dl], StateList, myrank);
}
#endif
MyList<Patch> *Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank)
{
double *state_in[Z4C_CUDA_STATE_COUNT];
double *state_out[Z4C_CUDA_STATE_COUNT];
double propspeed[Z4C_CUDA_STATE_COUNT];
double soa_flat[3 * Z4C_CUDA_STATE_COUNT];
if (!fill_z4c_cuda_views(cg, StateList, state_in, propspeed, soa_flat) ||
!fill_z4c_cuda_views(cg, SynchList_pre, state_out))
{
cout << "CUDA Z4C state list mismatch on predictor step" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
int apply_bam_bc = 0;
#if (MRBD == 0)
#if (SommerType == 0)
apply_bam_bc = (lev == 0) ? 1 : 0;
#endif
#elif (MRBD == 1)
apply_bam_bc = 1;
#endif
int keep_resident_state = z4c_cuda_resident_step_enabled() ? 1 : 0;
int apply_enforce_ga = 0;
#if (AGM == 0)
apply_enforce_ga = 1;
#endif
if (z4c_cuda_rk4_substep(cg,
cg->shape, cg->X[0], cg->X[1], cg->X[2],
state_in, state_out,
propspeed, soa_flat, Pp->data->bbox,
dT_lev, TRK4, iter_count, apply_bam_bc,
Symmetry, lev, ndeps, pre,
keep_resident_state, apply_enforce_ga, chitiny))
{
cout << "CUDA Z4C predictor substep failed in domain: ("
<< cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
}
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
{
int erh = ERROR;
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
if (myrank == 0 && ErrorMonitor->outfile)
ErrorMonitor->outfile << "CUDA Z4C failed in predictor at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
Parallel::Sync_cached(GH->PatL[lev], SynchList_pre, Symmetry, sync_cache_pre[lev]);
if (BH_num > 0 && lev == GH->levels - 1)
{
compute_Porg_rhs(Porg0, Porg_rhs, Sfx0, Sfy0, Sfz0, lev);
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][0], Porg[ithBH][0], Porg_rhs[ithBH][0], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][1], Porg[ithBH][1], Porg_rhs[ithBH][1], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][2], Porg[ithBH][2], Porg_rhs[ithBH][2], iter_count);
if (Symmetry > 0)
Porg[ithBH][2] = fabs(Porg[ithBH][2]);
if (Symmetry == 2)
{
Porg[ithBH][0] = fabs(Porg[ithBH][0]);
Porg[ithBH][1] = fabs(Porg[ithBH][1]);
}
}
}
if ((lev == a_lev) && (LastAnas + dT_lev >= AnasTime))
z4c_cuda_download_level_state(GH->PatL[lev], SynchList_pre, myrank, false);
if (lev == a_lev)
AnalysisStuff(lev, dT_lev);
for (iter_count = 1; iter_count < 4; iter_count++)
{
if (iter_count == 1 || iter_count == 3)
TRK4 += dT_lev / 2;
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank)
{
double *state_in[Z4C_CUDA_STATE_COUNT];
double *state_out[Z4C_CUDA_STATE_COUNT];
double propspeed[Z4C_CUDA_STATE_COUNT];
double soa_flat[3 * Z4C_CUDA_STATE_COUNT];
if (!fill_z4c_cuda_views(cg, SynchList_pre, state_in, propspeed, soa_flat) ||
!fill_z4c_cuda_views(cg, SynchList_cor, state_out))
{
cout << "CUDA Z4C state list mismatch on corrector step" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
int apply_bam_bc = 0;
#if (MRBD == 0)
#if (SommerType == 0)
apply_bam_bc = (lev == 0) ? 1 : 0;
#endif
#elif (MRBD == 1)
apply_bam_bc = 1;
#endif
int keep_resident_state = z4c_cuda_resident_step_enabled() ? 1 : 0;
int apply_enforce_ga = 0;
#if (AGM == 0)
apply_enforce_ga = 1;
#elif (AGM == 1)
apply_enforce_ga = (iter_count == 3) ? 1 : 0;
#endif
if (z4c_cuda_rk4_substep(cg,
cg->shape, cg->X[0], cg->X[1], cg->X[2],
state_in, state_out,
propspeed, soa_flat, Pp->data->bbox,
dT_lev, TRK4, iter_count, apply_bam_bc,
Symmetry, lev, ndeps, cor,
keep_resident_state, apply_enforce_ga, chitiny))
{
cout << "CUDA Z4C corrector substep failed in domain: ("
<< cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
}
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
{
int erh = ERROR;
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
if (myrank == 0 && ErrorMonitor->outfile)
ErrorMonitor->outfile << "CUDA Z4C failed in RK4 substep#" << iter_count
<< " at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
Parallel::Sync_cached(GH->PatL[lev], SynchList_cor, Symmetry, sync_cache_cor[lev]);
if (BH_num > 0 && lev == GH->levels - 1)
{
if (z4c_cuda_resident_step_enabled())
{
if (!z4c_cuda_compute_porg_rhs_resident(GH, lev, myrank, BH_num,
Porg, Porg1,
Sfx, Sfy, Sfz, Symmetry))
{
if (myrank == 0 && ErrorMonitor->outfile)
ErrorMonitor->outfile << "CUDA Z4C failed to interpolate black-hole shift at t = "
<< PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
else
{
compute_Porg_rhs(Porg, Porg1, Sfx, Sfy, Sfz, lev);
}
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][0], Porg1[ithBH][0], Porg_rhs[ithBH][0], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][1], Porg1[ithBH][1], Porg_rhs[ithBH][1], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][2], Porg1[ithBH][2], Porg_rhs[ithBH][2], iter_count);
if (Symmetry > 0)
Porg1[ithBH][2] = fabs(Porg1[ithBH][2]);
if (Symmetry == 2)
{
Porg1[ithBH][0] = fabs(Porg1[ithBH][0]);
Porg1[ithBH][1] = fabs(Porg1[ithBH][1]);
}
}
}
if (iter_count < 3)
{
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
cg->swapList(SynchList_pre, SynchList_cor, myrank);
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
if (BH_num > 0 && lev == GH->levels - 1)
{
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
Porg[ithBH][0] = Porg1[ithBH][0];
Porg[ithBH][1] = Porg1[ithBH][1];
Porg[ithBH][2] = Porg1[ithBH][2];
}
}
}
}
z4c_cuda_download_level_state(GH->PatL[lev], SynchList_cor, myrank, false);
#if (RPS == 0)
RestrictProlong(lev, YN, BB);
#endif
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
cg->swapList(StateList, SynchList_cor, myrank);
cg->swapList(OldStateList, SynchList_cor, myrank);
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
if (BH_num > 0 && lev == GH->levels - 1)
{
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
Porg0[ithBH][0] = Porg1[ithBH][0];
Porg0[ithBH][1] = Porg1[ithBH][1];
Porg0[ithBH][2] = Porg1[ithBH][2];
}
}
#else
double dT_lev = dT * pow(0.5, Mymax(lev, trfls));
#ifdef With_AHF
AH_Step_Find(lev, dT_lev);
@@ -1004,13 +339,6 @@ void Z4c_class::Step(int lev, int YN)
}
#ifdef WithShell
#if USE_CUDA_Z4C
if (bssn_cuda_use_resident_sync(lev))
{
for (int dl = 0; dl < GH->levels; dl++)
bssn_cuda_download_level_state_if_present(GH->PatL[dl], StateList, myrank);
}
#endif
// evolve Shell Patches
if (lev == 0)
{
@@ -1714,11 +1042,9 @@ void Z4c_class::Step(int lev, int YN)
Porg0[ithBH][2] = Porg1[ithBH][2];
}
}
#endif
}
#else
// for constraint preserving boundary (CPBC)
// Note: CPBC path uses CPU Fortran RHS; GPU resident sync is a no-op here.
#ifndef WithShell
#error "CPBC only supports Shell"
#endif
@@ -1748,14 +1074,6 @@ void Z4c_class::Step(int lev, int YN)
int pre = 0, cor = 1;
int ERROR = 0;
#if USE_CUDA_Z4C && defined(WithShell)
if (bssn_cuda_use_resident_sync(lev))
{
for (int dl = 0; dl < GH->levels; dl++)
bssn_cuda_download_level_state_if_present(GH->PatL[dl], StateList, myrank);
}
#endif
MyList<ss_patch> *sPp;
// Predictor
MyList<Patch> *Pp = GH->PatL[lev];
@@ -3086,11 +2404,6 @@ void Z4c_class::Check_extrop()
//================================================================================================
#if USE_CUDA_Z4C && (ABEtype == 2) && defined(WithShell)
#undef f_compute_rhs_Z4c_ss
#define f_compute_rhs_Z4c_ss compute_rhs_z4c_ss_
#endif
// this member function is used to compute and output constraint violation
//================================================================================================
@@ -3366,12 +2679,11 @@ void Z4c_class::Interp_Constraint()
}
ofstream outfile;
char suffix[64];
sprintf(suffix, "/interp_constraint_%05d.dat", int(PhysTime / dT + 0.5));
string filename = ErrorMonitor->out_dir + suffix;
char filename[50];
sprintf(filename, "%s/interp_constraint_%05d.dat", ErrorMonitor->out_dir.c_str(), int(PhysTime / dT + 0.5));
// 0.5 for round off
outfile.open(filename.c_str());
outfile.open(filename);
outfile << "# corrdinate, H_Res, Px_Res, Py_Res, Pz_Res, Gx_Res, Gy_Res, Gz_Res, ...." << endl;
for (int i = 0; i < n; i++)
{

View File

@@ -94,31 +94,29 @@
Hcon,Mxcon,Mycon,Mzcon,Gmxcon,Gmycon,Gmzcon, &
Symmetry,Lev,eps,co)
if (co == 0) then
#if (ABV == 0)
call ricci_gamma(ex, X, Y, Z, &
chi, &
dxx , gxy , gxz , dyy , gyz , dzz,&
Gamx , Gamy , Gamz , &
Gamxxx,Gamxxy,Gamxxz,Gamxyy,Gamxyz,Gamxzz,&
Gamyxx,Gamyxy,Gamyxz,Gamyyy,Gamyyz,Gamyzz,&
Gamzxx,Gamzxy,Gamzxz,Gamzyy,Gamzyz,Gamzzz,&
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz,&
Symmetry)
#endif
call constraint_bssn(ex, X, Y, Z,&
chi,trK, &
dxx,gxy,gxz,dyy,gyz,dzz, &
Axx,Axy,Axz,Ayy,Ayz,Azz, &
Gamx,Gamy,Gamz,&
Lap,betax,betay,betaz,rho,Sx,Sy,Sz,&
Gamxxx, Gamxxy, Gamxxz,Gamxyy, Gamxyz, Gamxzz, &
Gamyxx, Gamyxy, Gamyxz,Gamyyy, Gamyyz, Gamyzz, &
Gamzxx, Gamzxy, Gamzxz,Gamzyy, Gamzyz, Gamzzz, &
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz, &
Hcon,Mxcon,Mycon,Mzcon,Gmxcon,Gmycon,Gmzcon, &
Symmetry)
endif
#if (ABV == 0)
call ricci_gamma(ex, X, Y, Z, &
chi, &
dxx , gxy , gxz , dyy , gyz , dzz,&
Gamx , Gamy , Gamz , &
Gamxxx,Gamxxy,Gamxxz,Gamxyy,Gamxyz,Gamxzz,&
Gamyxx,Gamyxy,Gamyxz,Gamyyy,Gamyyz,Gamyzz,&
Gamzxx,Gamzxy,Gamzxz,Gamzyy,Gamzyz,Gamzzz,&
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz,&
Symmetry)
#endif
call constraint_bssn(ex, X, Y, Z,&
chi,trK, &
dxx,gxy,gxz,dyy,gyz,dzz, &
Axx,Axy,Axz,Ayy,Ayz,Azz, &
Gamx,Gamy,Gamz,&
Lap,betax,betay,betaz,rho,Sx,Sy,Sz,&
Gamxxx, Gamxxy, Gamxxz,Gamxyy, Gamxyz, Gamxzz, &
Gamyxx, Gamyxy, Gamyxz,Gamyyy, Gamyyz, Gamyzz, &
Gamzxx, Gamzxy, Gamzxz,Gamzyy, Gamzyz, Gamzzz, &
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz, &
Hcon,Mxcon,Mycon,Mzcon,Gmxcon,Gmycon,Gmzcon, &
Symmetry)
return
@@ -228,12 +226,11 @@
call get_Z4cparameters(kappa1,kappa2,kappa3,FF,eta)
!!! sanity check
#ifdef DEBUG
dX = sum(chi)+sum(trK)+sum(dxx)+sum(gxy)+sum(gxz)+sum(dyy)+sum(gyz)+sum(dzz) &
+sum(Axx)+sum(Axy)+sum(Axz)+sum(Ayy)+sum(Ayz)+sum(Azz) &
+sum(Gamx)+sum(Gamy)+sum(Gamz) &
+sum(Lap)+sum(betax)+sum(betay)+sum(betaz)+sum(dtSfx)+sum(dtSfy)+sum(dtSfz) &
!!! sanity check
dX = sum(chi)+sum(trK)+sum(dxx)+sum(gxy)+sum(gxz)+sum(dyy)+sum(gyz)+sum(dzz) &
+sum(Axx)+sum(Axy)+sum(Axz)+sum(Ayy)+sum(Ayz)+sum(Azz) &
+sum(Gamx)+sum(Gamy)+sum(Gamz) &
+sum(Lap)+sum(betax)+sum(betay)+sum(betaz)+sum(dtSfx)+sum(dtSfy)+sum(dtSfz) &
+sum(TZ)
if(dX.ne.dX) then
if(sum(chi).ne.sum(chi))write(*,*)"Z4c_rhs.f90: find NaN in chi"
@@ -260,11 +257,10 @@
if(sum(dtSfx).ne.sum(dtSfx))write(*,*)"Z4c_rhs.f90: find NaN in dtSfx"
if(sum(dtSfy).ne.sum(dtSfy))write(*,*)"Z4c_rhs.f90: find NaN in dtSfy"
if(sum(dtSfz).ne.sum(dtSfz))write(*,*)"Z4c_rhs.f90: find NaN in dtSfz"
if(sum(TZ).ne.sum(Tz))write(*,*)"Z4c_rhs.f90: find NaN in TZ"
gont = 1
return
endif
#endif
if(sum(TZ).ne.sum(Tz))write(*,*)"Z4c_rhs.f90: find NaN in TZ"
gont = 1
return
endif
PI = dacos(-ONE)
@@ -1267,32 +1263,30 @@
endif
if (co == 0) then
#if (ABV == 0)
call ricci_gamma(ex, X, Y, Z, &
chi, &
dxx , gxy , gxz , dyy , gyz , dzz,&
Gamx , Gamy , Gamz , &
Gamxxx,Gamxxy,Gamxxz,Gamxyy,Gamxyz,Gamxzz,&
Gamyxx,Gamyxy,Gamyxz,Gamyyy,Gamyyz,Gamyzz,&
Gamzxx,Gamzxy,Gamzxz,Gamzyy,Gamzyz,Gamzzz,&
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz,&
Symmetry)
#endif
call constraint_bssn(ex, X, Y, Z,&
chi,trK, &
dxx,gxy,gxz,dyy,gyz,dzz, &
Axx,Axy,Axz,Ayy,Ayz,Azz, &
Gamx,Gamy,Gamz,&
Lap,betax,betay,betaz,rho,Sx,Sy,Sz,&
Gamxxx, Gamxxy, Gamxxz,Gamxyy, Gamxyz, Gamxzz, &
Gamyxx, Gamyxy, Gamyxz,Gamyyy, Gamyyz, Gamyzz, &
Gamzxx, Gamzxy, Gamzxz,Gamzyy, Gamzyz, Gamzzz, &
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz, &
Hcon,Mxcon,Mycon,Mzcon,Gmxcon,Gmycon,Gmzcon, &
Symmetry)
endif
#if (ABV == 0)
call ricci_gamma(ex, X, Y, Z, &
chi, &
dxx , gxy , gxz , dyy , gyz , dzz,&
Gamx , Gamy , Gamz , &
Gamxxx,Gamxxy,Gamxxz,Gamxyy,Gamxyz,Gamxzz,&
Gamyxx,Gamyxy,Gamyxz,Gamyyy,Gamyyz,Gamyzz,&
Gamzxx,Gamzxy,Gamzxz,Gamzyy,Gamzyz,Gamzzz,&
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz,&
Symmetry)
#endif
call constraint_bssn(ex, X, Y, Z,&
chi,trK, &
dxx,gxy,gxz,dyy,gyz,dzz, &
Axx,Axy,Axz,Ayy,Ayz,Azz, &
Gamx,Gamy,Gamz,&
Lap,betax,betay,betaz,rho,Sx,Sy,Sz,&
Gamxxx, Gamxxy, Gamxxz,Gamxyy, Gamxyz, Gamxzz, &
Gamyxx, Gamyxy, Gamyxz,Gamyyy, Gamyyz, Gamyzz, &
Gamzxx, Gamzxy, Gamzxz,Gamzyy, Gamzyz, Gamzzz, &
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz, &
Hcon,Mxcon,Mycon,Mzcon,Gmxcon,Gmycon,Gmzcon, &
Symmetry)
gont = 0

View File

@@ -121,12 +121,11 @@
call get_Z4cparameters(kappa1,kappa2,kappa3,FF,eta)
!!! sanity check
#ifdef DEBUG
dX = sum(chi)+sum(trK)+sum(dxx)+sum(gxy)+sum(gxz)+sum(dyy)+sum(gyz)+sum(dzz) &
+sum(Axx)+sum(Axy)+sum(Axz)+sum(Ayy)+sum(Ayz)+sum(Azz) &
+sum(Gamx)+sum(Gamy)+sum(Gamz) &
+sum(Lap)+sum(betax)+sum(betay)+sum(betaz)+sum(dtSfx)+sum(dtSfy)+sum(dtSfz) &
!!! sanity check
dX = sum(chi)+sum(trK)+sum(dxx)+sum(gxy)+sum(gxz)+sum(dyy)+sum(gyz)+sum(dzz) &
+sum(Axx)+sum(Axy)+sum(Axz)+sum(Ayy)+sum(Ayz)+sum(Azz) &
+sum(Gamx)+sum(Gamy)+sum(Gamz) &
+sum(Lap)+sum(betax)+sum(betay)+sum(betaz)+sum(dtSfx)+sum(dtSfy)+sum(dtSfz) &
+sum(TZ)
if(dX.ne.dX) then
if(sum(chi).ne.sum(chi))write(*,*)"Z4c_rhs_ss.f90: find NaN in chi"
@@ -153,11 +152,10 @@
if(sum(dtSfx).ne.sum(dtSfx))write(*,*)"Z4c_rhs_ss.f90: find NaN in dtSfx"
if(sum(dtSfy).ne.sum(dtSfy))write(*,*)"Z4c_rhs_ss.f90: find NaN in dtSfy"
if(sum(dtSfz).ne.sum(dtSfz))write(*,*)"Z4c_rhs_ss.f90: find NaN in dtSfz"
if(sum(TZ).ne.sum(Tz))write(*,*)"Z4c_rhs_ss.f90: find NaN in TZ"
gont = 1
return
endif
#endif
if(sum(TZ).ne.sum(Tz))write(*,*)"Z4c_rhs_ss.f90: find NaN in TZ"
gont = 1
return
endif
PI = dacos(-ONE)
@@ -1390,43 +1388,41 @@
call kodis_sh(ex,crho,sigma,R,TZ,TZ_rhs,SSS,Symmetry,eps,sst)
endif
if (co == 0) then
#if (ABV == 1)
call ricci_gamma_ss(ex,crho,sigma,R,X, Y, Z, &
drhodx, drhody, drhodz, &
dsigmadx,dsigmady,dsigmadz, &
dRdx,dRdy,dRdz, &
drhodxx,drhodxy,drhodxz,drhodyy,drhodyz,drhodzz, &
dsigmadxx,dsigmadxy,dsigmadxz,dsigmadyy,dsigmadyz,dsigmadzz, &
dRdxx,dRdxy,dRdxz,dRdyy,dRdyz,dRdzz, &
chi, &
dxx , gxy , gxz , dyy , gyz , dzz,&
Gamx , Gamy , Gamz , &
Gamxxx,Gamxxy,Gamxxz,Gamxyy,Gamxyz,Gamxzz,&
Gamyxx,Gamyxy,Gamyxz,Gamyyy,Gamyyz,Gamyzz,&
Gamzxx,Gamzxy,Gamzxz,Gamzyy,Gamzyz,Gamzzz,&
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz,&
Symmetry,Lev,sst)
#endif
call constraint_bssn_ss(ex,crho,sigma,R,X, Y, Z, &
drhodx, drhody, drhodz, &
dsigmadx,dsigmady,dsigmadz, &
dRdx,dRdy,dRdz, &
drhodxx,drhodxy,drhodxz,drhodyy,drhodyz,drhodzz, &
dsigmadxx,dsigmadxy,dsigmadxz,dsigmadyy,dsigmadyz,dsigmadzz, &
dRdxx,dRdxy,dRdxz,dRdyy,dRdyz,dRdzz, &
chi,trK, &
dxx,gxy,gxz,dyy,gyz,dzz, &
Axx,Axy,Axz,Ayy,Ayz,Azz, &
Gamx,Gamy,Gamz,&
Lap,betax,betay,betaz,rho,Sx,Sy,Sz,&
Gamxxx, Gamxxy, Gamxxz,Gamxyy, Gamxyz, Gamxzz, &
Gamyxx, Gamyxy, Gamyxz,Gamyyy, Gamyyz, Gamyzz, &
Gamzxx, Gamzxy, Gamzxz,Gamzyy, Gamzyz, Gamzzz, &
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz, &
Hcon,Mxcon,Mycon,Mzcon,Gmxcon,Gmycon,Gmzcon, &
Symmetry,Lev,sst)
endif
#if (ABV == 1)
call ricci_gamma_ss(ex,crho,sigma,R,X, Y, Z, &
drhodx, drhody, drhodz, &
dsigmadx,dsigmady,dsigmadz, &
dRdx,dRdy,dRdz, &
drhodxx,drhodxy,drhodxz,drhodyy,drhodyz,drhodzz, &
dsigmadxx,dsigmadxy,dsigmadxz,dsigmadyy,dsigmadyz,dsigmadzz, &
dRdxx,dRdxy,dRdxz,dRdyy,dRdyz,dRdzz, &
chi, &
dxx , gxy , gxz , dyy , gyz , dzz,&
Gamx , Gamy , Gamz , &
Gamxxx,Gamxxy,Gamxxz,Gamxyy,Gamxyz,Gamxzz,&
Gamyxx,Gamyxy,Gamyxz,Gamyyy,Gamyyz,Gamyzz,&
Gamzxx,Gamzxy,Gamzxz,Gamzyy,Gamzyz,Gamzzz,&
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz,&
Symmetry,Lev,sst)
call constraint_bssn_ss(ex,crho,sigma,R,X, Y, Z, &
drhodx, drhody, drhodz, &
dsigmadx,dsigmady,dsigmadz, &
dRdx,dRdy,dRdz, &
drhodxx,drhodxy,drhodxz,drhodyy,drhodyz,drhodzz, &
dsigmadxx,dsigmadxy,dsigmadxz,dsigmadyy,dsigmadyz,dsigmadzz, &
dRdxx,dRdxy,dRdxz,dRdyy,dRdyz,dRdzz, &
chi,trK, &
dxx,gxy,gxz,dyy,gyz,dzz, &
Axx,Axy,Axz,Ayy,Ayz,Azz, &
Gamx,Gamy,Gamz,&
Lap,betax,betay,betaz,rho,Sx,Sy,Sz,&
Gamxxx, Gamxxy, Gamxxz,Gamxyy, Gamxyz, Gamxzz, &
Gamyxx, Gamyxy, Gamyxz,Gamyyy, Gamyyz, Gamyzz, &
Gamzxx, Gamzxy, Gamzxz,Gamzyy, Gamzyz, Gamzzz, &
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz, &
Hcon,Mxcon,Mycon,Mzcon,Gmxcon,Gmycon,Gmzcon, &
Symmetry,Lev,sst)
#endif
gont = 0

File diff suppressed because it is too large Load Diff

View File

@@ -1,10 +1,9 @@
#ifdef newc
#include <sstream>
#include <cstdio>
#include <map>
#include <string>
using namespace std;
#include <sstream>
#include <cstdio>
#include <map>
using namespace std;
#else
#include <stdio.h>
#include <map.h>
@@ -25,323 +24,16 @@ using namespace std;
#include "sommerfeld_rout.h"
#include "getnp4.h"
#include "shellfunctions.h"
#include "parameters.h"
#if USE_CUDA_BSSN
#include "bssn_rhs_cuda.h"
#endif
#include "parameters.h"
#ifdef With_AHF
#include "derivatives.h"
#include "myglobal.h"
#endif
//================================================================================================
namespace
{
#if USE_CUDA_BSSN
bool fill_bssn_escalar_cuda_views(Block *cg, MyList<var> *vars,
double **host_views,
double *propspeeds = 0,
double *soa_flat = 0)
{
int idx = 0;
while (vars && idx < BSSN_ESCALAR_CUDA_STATE_COUNT)
{
host_views[idx] = cg->fgfs[vars->data->sgfn];
if (propspeeds)
propspeeds[idx] = vars->data->propspeed;
if (soa_flat)
{
soa_flat[3 * idx + 0] = vars->data->SoA[0];
soa_flat[3 * idx + 1] = vars->data->SoA[1];
soa_flat[3 * idx + 2] = vars->data->SoA[2];
}
vars = vars->next;
++idx;
}
return idx == BSSN_ESCALAR_CUDA_STATE_COUNT && vars == 0;
}
bool bssn_escalar_cuda_use_resident_sync(int lev)
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_RESIDENT_SYNC");
if (!env)
env = getenv("AMSS_CUDA_ESCALAR_RESIDENT_SYNC");
enabled = env ? ((atoi(env) != 0) ? 1 : 0) : 1;
}
if (!enabled)
return false;
#ifdef WithShell
(void)lev;
return false;
#else
return true;
#endif
}
bool bssn_escalar_cuda_keep_resident_after_step(int lev, int trfls_in, int analysis_lev)
{
static int keep_all_levels = -1;
if (keep_all_levels < 0)
{
const char *env = getenv("AMSS_CUDA_ESCALAR_KEEP_ALL_LEVELS");
keep_all_levels = (env && atoi(env) != 0) ? 1 : 0;
}
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_ESCALAR_KEEP_RESIDENT_AFTER_STEP");
enabled = (env && atoi(env) != 0) ? 1 : 0;
}
if (!enabled)
return false;
if (lev == analysis_lev)
return false;
static int release_only_level = -2;
if (release_only_level == -2)
{
const char *env = getenv("AMSS_CUDA_ESCALAR_RELEASE_ONLY_LEVEL");
release_only_level = (env && atoi(env) >= 0) ? atoi(env) : -1;
}
if (release_only_level >= 0)
return lev != release_only_level;
static int keep_level_limit = -2;
if (keep_level_limit == -2)
{
const char *env = getenv("AMSS_CUDA_ESCALAR_KEEP_LEVELS_BELOW");
keep_level_limit = (env && atoi(env) >= 0) ? atoi(env) : -1;
}
if (keep_level_limit >= 0)
return lev < keep_level_limit;
if (keep_all_levels)
return true;
return lev < trfls_in;
}
bool bssn_escalar_sync_merged_enabled()
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_ESCALAR_SYNC_MERGED");
enabled = (env && atoi(env) != 0) ? 1 : 0;
}
return enabled != 0;
}
void bssn_escalar_sync_level(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry)
{
if (bssn_escalar_sync_merged_enabled())
Parallel::Sync_merged(PatL, VarList, Symmetry);
else
Parallel::Sync(PatL, VarList, Symmetry);
}
bool bssn_escalar_timing_enabled()
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_ESCALAR_STEP_TIMING");
enabled = (env && atoi(env) != 0) ? 1 : 0;
}
return enabled != 0;
}
bool bssn_escalar_cuda_post_rp_download_enabled()
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_ESCALAR_POST_RP_DOWNLOAD");
enabled = (env && atoi(env) != 0) ? 1 : 0;
}
return enabled != 0;
}
bool bssn_escalar_cuda_post_rp_download_level_enabled(int lev)
{
if (!bssn_escalar_cuda_post_rp_download_enabled())
return false;
static int min_level = -2;
if (min_level == -2)
{
const char *env = getenv("AMSS_CUDA_ESCALAR_POST_RP_MIN_LEVEL");
min_level = (env && atoi(env) >= 0) ? atoi(env) : -1;
}
return min_level < 0 || lev >= min_level;
}
bool bssn_escalar_cuda_post_swap_release_enabled()
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_ESCALAR_POST_SWAP_RELEASE");
enabled = (env && atoi(env) != 0) ? 1 : 0;
}
return enabled != 0;
}
bool bssn_escalar_cuda_pre_rp_release_enabled()
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_ESCALAR_PRE_RP_RELEASE");
enabled = env ? ((atoi(env) != 0) ? 1 : 0) : 1;
}
return enabled != 0;
}
bool bssn_escalar_cuda_bh_interp_resident_enabled()
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_BH_INTERP_RESIDENT");
enabled = env ? ((atoi(env) != 0) ? 1 : 0) : 0;
}
return enabled != 0;
}
bool bssn_escalar_cuda_prune_after_swap_enabled()
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_ESCALAR_PRUNE_AFTER_SWAP");
enabled = (env && atoi(env) != 0) ? 1 : 0;
}
return enabled != 0;
}
void bssn_escalar_cuda_upload_level_state(MyList<Patch> *PatL, MyList<var> *vars,
int myrank)
{
MyList<Patch> *Pp = PatL;
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank && bssn_cuda_has_resident_state(cg))
{
double *state_in[BSSN_ESCALAR_CUDA_STATE_COUNT];
if (!fill_bssn_escalar_cuda_views(cg, vars, state_in))
{
cout << "CUDA BSSN-EScalar resident state list mismatch during upload" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
if (bssn_escalar_cuda_upload_resident_state(cg, cg->shape, state_in))
{
cout << "CUDA BSSN-EScalar resident state upload failed" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
}
void bssn_escalar_cuda_keep_only_level_state(MyList<Patch> *PatL, MyList<var> *vars,
int myrank)
{
MyList<Patch> *Pp = PatL;
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank && bssn_cuda_has_resident_state(cg))
{
double *state_key[BSSN_ESCALAR_CUDA_STATE_COUNT];
if (!fill_bssn_escalar_cuda_views(cg, vars, state_key))
{
cout << "CUDA BSSN-EScalar resident state list mismatch during prune" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
if (bssn_escalar_cuda_keep_only_resident_state(cg, cg->shape, state_key))
{
cout << "CUDA BSSN-EScalar resident state prune failed" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
}
void bssn_escalar_timing_report(int myrank, int lev, int YN, double total, double rhs,
double sync, double bh, double analysis, double swap,
double resident, double rp)
{
if (!bssn_escalar_timing_enabled())
return;
double local[8] = {total, rhs, sync, bh, analysis, swap, resident, rp};
double maxv[8] = {};
MPI_Reduce(local, maxv, 8, MPI_DOUBLE, MPI_MAX, 0, MPI_COMM_WORLD);
if (myrank == 0)
fprintf(stderr,
"[AMSS-ESCALAR-STEP] lev=%d YN=%d total=%.6f rhs=%.6f sync=%.6f "
"bh=%.6f analysis=%.6f swap=%.6f resident=%.6f rp=%.6f other=%.6f\n",
lev, YN, maxv[0], maxv[1], maxv[2], maxv[3], maxv[4], maxv[5],
maxv[6], maxv[7],
maxv[0] - maxv[1] - maxv[2] - maxv[3] - maxv[4] - maxv[5] - maxv[6] - maxv[7]);
}
void bssn_escalar_cuda_download_level_state(MyList<Patch> *PatL, MyList<var> *vars,
int myrank, bool release_ctx)
{
MyList<Patch> *Pp = PatL;
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank && bssn_cuda_has_resident_state(cg))
{
double *state_out[BSSN_ESCALAR_CUDA_STATE_COUNT];
if (!fill_bssn_escalar_cuda_views(cg, vars, state_out))
{
cout << "CUDA BSSN-EScalar resident state list mismatch during download" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
if (bssn_escalar_cuda_download_resident_state(cg, cg->shape, state_out))
{
cout << "CUDA BSSN-EScalar resident state download failed" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
if (release_ctx)
bssn_cuda_release_step_ctx(cg);
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
}
#endif
}
//================================================================================================
// Define bssnEScalar_class
//================================================================================================
// Define bssnEScalar_class
// It inherits some members and methods from the parent class bssn_class and modifies others.
// The modified members and methods are defined below (and in the header bssnEScalar_class.h).
@@ -485,16 +177,11 @@ void bssnEScalar_class::Initialize()
//================================================================================================
bssnEScalar_class::~bssnEScalar_class()
{
#if USE_CUDA_BSSN
for (int lev = 0; GH && lev < GH->levels; ++lev)
bssn_escalar_cuda_download_level_state(GH->PatL[lev], StateList, myrank, true);
#endif
delete Sphio;
delete Spio;
delete Sphi0;
bssnEScalar_class::~bssnEScalar_class()
{
delete Sphio;
delete Spio;
delete Sphi0;
delete Spi0;
delete Sphi;
delete Spi;
@@ -1020,12 +707,7 @@ void bssnEScalar_class::Read_Pablo()
void bssnEScalar_class::Step(int lev, int YN)
{
double dT_lev = dT * pow(0.5, Mymax(lev, trfls));
#if USE_CUDA_BSSN
const bool use_cuda_resident_sync = bssn_escalar_cuda_use_resident_sync(lev);
#else
const bool use_cuda_resident_sync = false;
#endif
double dT_lev = dT * pow(0.5, Mymax(lev, trfls));
#ifdef With_AHF
AH_Step_Find(lev, dT_lev);
#endif
@@ -1034,23 +716,13 @@ void bssnEScalar_class::Step(int lev, int YN)
if (lev < GH->movls)
ndeps = numepsb;
double TRK4 = PhysTime;
int iter_count = 0; // count RK4 substeps
int pre = 0, cor = 1;
int ERROR = 0;
const bool escalar_step_timing = bssn_escalar_timing_enabled();
const double escalar_step_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
double escalar_t_rhs = 0.0;
double escalar_t_sync = 0.0;
double escalar_t_bh = 0.0;
double escalar_t_analysis = 0.0;
double escalar_t_swap = 0.0;
double escalar_t_resident = 0.0;
double escalar_t_rp = 0.0;
MyList<ss_patch> *sPp;
// Predictor
double escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
MyList<Patch> *Pp = GH->PatL[lev];
int iter_count = 0; // count RK4 substeps
int pre = 0, cor = 1;
int ERROR = 0;
MyList<ss_patch> *sPp;
// Predictor
MyList<Patch> *Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
@@ -1059,60 +731,15 @@ void bssnEScalar_class::Step(int lev, int YN)
Block *cg = BP->data;
if (myrank == cg->rank)
{
#if (AGM == 0)
#if !USE_CUDA_BSSN
f_enforce_ga(cg->shape,
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->sgfn],
cg->fgfs[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn],
cg->fgfs[Axx0->sgfn], cg->fgfs[Axy0->sgfn], cg->fgfs[Axz0->sgfn],
cg->fgfs[Ayy0->sgfn], cg->fgfs[Ayz0->sgfn], cg->fgfs[Azz0->sgfn]);
#endif
#endif
bool used_gpu_substep = false;
#if USE_CUDA_BSSN
{
double *state_in[BSSN_ESCALAR_CUDA_STATE_COUNT];
double *state_out[BSSN_ESCALAR_CUDA_STATE_COUNT];
double propspeed[BSSN_ESCALAR_CUDA_STATE_COUNT];
double soa_flat[3 * BSSN_ESCALAR_CUDA_STATE_COUNT];
if (!fill_bssn_escalar_cuda_views(cg, StateList, state_in, propspeed, soa_flat) ||
!fill_bssn_escalar_cuda_views(cg, SynchList_pre, state_out))
{
cout << "CUDA BSSN-EScalar state list mismatch on predictor step" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
int apply_bam_bc = 0;
int apply_enforce_ga = 0;
#if (AGM == 0)
apply_enforce_ga = 1;
#endif
#if (SommerType == 0)
#ifndef WithShell
apply_bam_bc = (lev == 0) ? 1 : 0;
#endif
#endif
int keep_resident_state = use_cuda_resident_sync ? 1 : 0;
if (bssn_escalar_cuda_rk4_substep(cg,
cg->shape, cg->X[0], cg->X[1], cg->X[2],
state_in, state_out,
propspeed, soa_flat, Pp->data->bbox,
dT_lev, TRK4, iter_count, apply_bam_bc,
Symmetry, lev, ndeps, pre,
keep_resident_state, apply_enforce_ga, chitiny))
{
cout << "CUDA BSSN-EScalar predictor substep failed in domain: ("
<< cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
}
used_gpu_substep = true;
}
#endif
if (!used_gpu_substep &&
f_compute_rhs_bssn_escalar(cg->shape, TRK4, cg->X[0], cg->X[1], cg->X[2],
#if (AGM == 0)
f_enforce_ga(cg->shape,
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->sgfn],
cg->fgfs[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn],
cg->fgfs[Axx0->sgfn], cg->fgfs[Axy0->sgfn], cg->fgfs[Axz0->sgfn],
cg->fgfs[Ayy0->sgfn], cg->fgfs[Ayz0->sgfn], cg->fgfs[Azz0->sgfn]);
#endif
if (f_compute_rhs_bssn_escalar(cg->shape, TRK4, cg->X[0], cg->X[1], cg->X[2],
cg->fgfs[phi0->sgfn], cg->fgfs[trK0->sgfn],
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->sgfn],
cg->fgfs[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn],
@@ -1156,11 +783,9 @@ void bssnEScalar_class::Step(int lev, int YN)
ERROR = 1;
}
if (!used_gpu_substep)
{
// rk4 substep and boundary
{
MyList<var> *varl0 = StateList, *varl = SynchList_pre, *varlrhs = RHSList; // we do not check the correspondence here
// rk4 substep and boundary
{
MyList<var> *varl0 = StateList, *varl = SynchList_pre, *varlrhs = RHSList; // we do not check the correspondence here
while (varl0)
{
#ifndef WithShell
@@ -1195,10 +820,9 @@ void bssnEScalar_class::Step(int lev, int YN)
varl = varl->next;
varlrhs = varlrhs->next;
}
}
f_lowerboundset(cg->shape, cg->fgfs[phi->sgfn], chitiny);
}
}
}
f_lowerboundset(cg->shape, cg->fgfs[phi->sgfn], chitiny);
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
@@ -1210,21 +834,19 @@ void bssnEScalar_class::Step(int lev, int YN)
int erh = ERROR;
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], StateList, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in state variables at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
if (escalar_step_timing)
escalar_t_rhs += MPI_Wtime() - escalar_t0;
#ifdef WithShell
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#ifdef WithShell
// evolve Shell Patches
if (lev == 0)
{
@@ -1371,14 +993,7 @@ void bssnEScalar_class::Step(int lev, int YN)
}
#endif
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
#if USE_CUDA_BSSN
bssn_escalar_sync_level(GH->PatL[lev], SynchList_pre, Symmetry);
#else
Parallel::Sync(GH->PatL[lev], SynchList_pre, Symmetry);
#endif
if (escalar_step_timing)
escalar_t_sync += MPI_Wtime() - escalar_t0;
Parallel::Sync(GH->PatL[lev], SynchList_pre, Symmetry);
#ifdef WithShell
if (lev == 0)
@@ -1398,15 +1013,10 @@ void bssnEScalar_class::Step(int lev, int YN)
}
#endif
// for black hole position
if (BH_num > 0 && lev == GH->levels - 1)
{
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
#if USE_CUDA_BSSN
if (use_cuda_resident_sync && !bssn_escalar_cuda_bh_interp_resident_enabled())
bssn_escalar_cuda_download_level_state(GH->PatL[lev], StateList, myrank, false);
#endif
compute_Porg_rhs(Porg0, Porg_rhs, Sfx0, Sfy0, Sfz0, lev);
// for black hole position
if (BH_num > 0 && lev == GH->levels - 1)
{
compute_Porg_rhs(Porg0, Porg_rhs, Sfx0, Sfy0, Sfz0, lev);
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][0], Porg[ithBH][0], Porg_rhs[ithBH][0], iter_count);
@@ -1431,29 +1041,19 @@ void bssnEScalar_class::Step(int lev, int YN)
DG_List->insert(Sfy0);
DG_List->insert(Sfz0);
Parallel::Dump_Data(GH->PatL[lev], DG_List, 0, PhysTime, dT_lev);
DG_List->clearList();
}
}
if (escalar_step_timing)
escalar_t_bh += MPI_Wtime() - escalar_t0;
}
DG_List->clearList();
}
}
}
// data analysis part
// Warning NOTE: the variables1 are used as temp storege room
if (lev == a_lev)
{
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
#if USE_CUDA_BSSN
if (use_cuda_resident_sync)
bssn_escalar_cuda_download_level_state(GH->PatL[lev], SynchList_pre, myrank, false);
#endif
AnalysisStuff_EScalar(lev, dT_lev);
if (escalar_step_timing)
escalar_t_analysis += MPI_Wtime() - escalar_t0;
}
// corrector
for (iter_count = 1; iter_count < 4; iter_count++)
{
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
if (lev == a_lev)
{
AnalysisStuff_EScalar(lev, dT_lev);
}
// corrector
for (iter_count = 1; iter_count < 4; iter_count++)
{
// for RK4: t0, t0+dt/2, t0+dt/2, t0+dt;
if (iter_count == 1 || iter_count == 3)
TRK4 += dT_lev / 2;
@@ -1466,67 +1066,22 @@ void bssnEScalar_class::Step(int lev, int YN)
Block *cg = BP->data;
if (myrank == cg->rank)
{
#if (AGM == 0)
#if !USE_CUDA_BSSN
f_enforce_ga(cg->shape,
cg->fgfs[gxx->sgfn], cg->fgfs[gxy->sgfn], cg->fgfs[gxz->sgfn],
cg->fgfs[gyy->sgfn], cg->fgfs[gyz->sgfn], cg->fgfs[gzz->sgfn],
cg->fgfs[Axx->sgfn], cg->fgfs[Axy->sgfn], cg->fgfs[Axz->sgfn],
cg->fgfs[Ayy->sgfn], cg->fgfs[Ayz->sgfn], cg->fgfs[Azz->sgfn]);
#endif
#elif (AGM == 1)
if (iter_count == 3)
f_enforce_ga(cg->shape,
#if (AGM == 0)
f_enforce_ga(cg->shape,
cg->fgfs[gxx->sgfn], cg->fgfs[gxy->sgfn], cg->fgfs[gxz->sgfn],
cg->fgfs[gyy->sgfn], cg->fgfs[gyz->sgfn], cg->fgfs[gzz->sgfn],
cg->fgfs[Axx->sgfn], cg->fgfs[Axy->sgfn], cg->fgfs[Axz->sgfn],
cg->fgfs[Ayy->sgfn], cg->fgfs[Ayz->sgfn], cg->fgfs[Azz->sgfn]);
#elif (AGM == 1)
if (iter_count == 3)
f_enforce_ga(cg->shape,
cg->fgfs[gxx->sgfn], cg->fgfs[gxy->sgfn], cg->fgfs[gxz->sgfn],
cg->fgfs[gyy->sgfn], cg->fgfs[gyz->sgfn], cg->fgfs[gzz->sgfn],
cg->fgfs[Axx->sgfn], cg->fgfs[Axy->sgfn], cg->fgfs[Axz->sgfn],
cg->fgfs[Ayy->sgfn], cg->fgfs[Ayz->sgfn], cg->fgfs[Azz->sgfn]);
#endif
bool used_gpu_substep = false;
#if USE_CUDA_BSSN
{
double *state_in[BSSN_ESCALAR_CUDA_STATE_COUNT];
double *state_out[BSSN_ESCALAR_CUDA_STATE_COUNT];
double propspeed[BSSN_ESCALAR_CUDA_STATE_COUNT];
double soa_flat[3 * BSSN_ESCALAR_CUDA_STATE_COUNT];
if (!fill_bssn_escalar_cuda_views(cg, SynchList_pre, state_in, propspeed, soa_flat) ||
!fill_bssn_escalar_cuda_views(cg, SynchList_cor, state_out))
{
cout << "CUDA BSSN-EScalar state list mismatch on corrector step" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
int apply_bam_bc = 0;
int apply_enforce_ga = 0;
#if (AGM == 0)
apply_enforce_ga = 1;
#endif
#if (SommerType == 0)
#ifndef WithShell
apply_bam_bc = (lev == 0) ? 1 : 0;
#endif
#endif
int keep_resident_state = use_cuda_resident_sync ? 1 : 0;
if (bssn_escalar_cuda_rk4_substep(cg,
cg->shape, cg->X[0], cg->X[1], cg->X[2],
state_in, state_out,
propspeed, soa_flat, Pp->data->bbox,
dT_lev, TRK4, iter_count, apply_bam_bc,
Symmetry, lev, ndeps, cor,
keep_resident_state, apply_enforce_ga, chitiny))
{
cout << "CUDA BSSN-EScalar corrector substep failed in domain: ("
<< cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
}
used_gpu_substep = true;
}
#endif
if (!used_gpu_substep &&
f_compute_rhs_bssn_escalar(cg->shape, TRK4, cg->X[0], cg->X[1], cg->X[2],
#endif
if (f_compute_rhs_bssn_escalar(cg->shape, TRK4, cg->X[0], cg->X[1], cg->X[2],
cg->fgfs[phi->sgfn], cg->fgfs[trK->sgfn],
cg->fgfs[gxx->sgfn], cg->fgfs[gxy->sgfn], cg->fgfs[gxz->sgfn],
cg->fgfs[gyy->sgfn], cg->fgfs[gyz->sgfn], cg->fgfs[gzz->sgfn],
@@ -1570,11 +1125,9 @@ void bssnEScalar_class::Step(int lev, int YN)
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
}
if (!used_gpu_substep)
{
// rk4 substep and boundary
{
MyList<var> *varl0 = StateList, *varl = SynchList_pre, *varl1 = SynchList_cor, *varlrhs = RHSList;
// rk4 substep and boundary
{
MyList<var> *varl0 = StateList, *varl = SynchList_pre, *varl1 = SynchList_cor, *varlrhs = RHSList;
// we do not check the correspondence here
while (varl0)
@@ -1612,10 +1165,9 @@ void bssnEScalar_class::Step(int lev, int YN)
varl1 = varl1->next;
varlrhs = varlrhs->next;
}
}
f_lowerboundset(cg->shape, cg->fgfs[phi1->sgfn], chitiny);
}
}
}
f_lowerboundset(cg->shape, cg->fgfs[phi1->sgfn], chitiny);
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
@@ -1628,8 +1180,8 @@ void bssnEScalar_class::Step(int lev, int YN)
int erh = ERROR;
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], SynchList_pre, 0, PhysTime, dT_lev);
if (myrank == 0)
{
@@ -1637,13 +1189,11 @@ void bssnEScalar_class::Step(int lev, int YN)
ErrorMonitor->outfile << "find NaN in RK4 substep#" << iter_count
<< " variables at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
if (escalar_step_timing)
escalar_t_rhs += MPI_Wtime() - escalar_t0;
#ifdef WithShell
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#ifdef WithShell
// evolve Shell Patches
if (lev == 0)
{
@@ -1799,14 +1349,7 @@ void bssnEScalar_class::Step(int lev, int YN)
}
#endif
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
#if USE_CUDA_BSSN
bssn_escalar_sync_level(GH->PatL[lev], SynchList_cor, Symmetry);
#else
Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
#endif
if (escalar_step_timing)
escalar_t_sync += MPI_Wtime() - escalar_t0;
Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
#ifdef WithShell
if (lev == 0)
@@ -1825,15 +1368,10 @@ void bssnEScalar_class::Step(int lev, int YN)
}
}
#endif
// for black hole position
if (BH_num > 0 && lev == GH->levels - 1)
{
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
#if USE_CUDA_BSSN
if (use_cuda_resident_sync && !bssn_escalar_cuda_bh_interp_resident_enabled())
bssn_escalar_cuda_download_level_state(GH->PatL[lev], SynchList_pre, myrank, false);
#endif
compute_Porg_rhs(Porg, Porg1, Sfx, Sfy, Sfz, lev);
// for black hole position
if (BH_num > 0 && lev == GH->levels - 1)
{
compute_Porg_rhs(Porg, Porg1, Sfx, Sfy, Sfz, lev);
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][0], Porg1[ithBH][0], Porg_rhs[ithBH][0], iter_count);
@@ -1858,17 +1396,14 @@ void bssnEScalar_class::Step(int lev, int YN)
DG_List->insert(Sfy0);
DG_List->insert(Sfz0);
Parallel::Dump_Data(GH->PatL[lev], DG_List, 0, PhysTime, dT_lev);
DG_List->clearList();
}
}
if (escalar_step_timing)
escalar_t_bh += MPI_Wtime() - escalar_t0;
}
// swap time level
if (iter_count < 3)
{
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
Pp = GH->PatL[lev];
DG_List->clearList();
}
}
}
// swap time level
if (iter_count < 3)
{
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
@@ -1909,33 +1444,16 @@ void bssnEScalar_class::Step(int lev, int YN)
Porg[ithBH][0] = Porg1[ithBH][0];
Porg[ithBH][1] = Porg1[ithBH][1];
Porg[ithBH][2] = Porg1[ithBH][2];
}
}
if (escalar_step_timing)
escalar_t_swap += MPI_Wtime() - escalar_t0;
}
}
#if USE_CUDA_BSSN
if (use_cuda_resident_sync)
{
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
if (!bssn_escalar_cuda_keep_resident_after_step(lev, trfls, a_lev))
bssn_escalar_cuda_download_level_state(GH->PatL[lev], SynchList_cor, myrank,
bssn_escalar_cuda_pre_rp_release_enabled());
if (escalar_step_timing)
escalar_t_resident += MPI_Wtime() - escalar_t0;
}
#endif
#if (RPS == 0)
// mesh refinement boundary part
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
RestrictProlong(lev, YN, BB);
if (escalar_step_timing)
escalar_t_rp += MPI_Wtime() - escalar_t0;
#ifdef WithShell
}
}
}
}
#if (RPS == 0)
// mesh refinement boundary part
RestrictProlong(lev, YN, BB);
#ifdef WithShell
if (lev == 0)
{
clock_t prev_clock, curr_clock;
@@ -1959,9 +1477,8 @@ void bssnEScalar_class::Step(int lev, int YN)
// StateList 0 -----------
//
// OldStateList old -----------
// update
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
Pp = GH->PatL[lev];
// update
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
@@ -1995,45 +1512,18 @@ void bssnEScalar_class::Step(int lev, int YN)
sPp = sPp->next;
}
}
#endif
#if USE_CUDA_BSSN
bool release_after_sync = false;
if (use_cuda_resident_sync && bssn_escalar_cuda_post_rp_download_level_enabled(lev))
{
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
release_after_sync = bssn_escalar_cuda_post_swap_release_enabled();
bssn_escalar_cuda_download_level_state(GH->PatL[lev], StateList, myrank, release_after_sync);
if (escalar_step_timing)
escalar_t_resident += MPI_Wtime() - escalar_t0;
}
if (use_cuda_resident_sync && !release_after_sync &&
bssn_escalar_cuda_prune_after_swap_enabled())
{
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
bssn_escalar_cuda_keep_only_level_state(GH->PatL[lev], StateList, myrank);
if (escalar_step_timing)
escalar_t_resident += MPI_Wtime() - escalar_t0;
}
#endif
// for black hole position
if (BH_num > 0 && lev == GH->levels - 1)
#endif
// for black hole position
if (BH_num > 0 && lev == GH->levels - 1)
{
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
Porg0[ithBH][0] = Porg1[ithBH][0];
Porg0[ithBH][1] = Porg1[ithBH][1];
Porg0[ithBH][2] = Porg1[ithBH][2];
}
}
if (escalar_step_timing)
{
escalar_t_swap += MPI_Wtime() - escalar_t0;
bssn_escalar_timing_report(myrank, lev, YN, MPI_Wtime() - escalar_step_t0,
escalar_t_rhs, escalar_t_sync, escalar_t_bh,
escalar_t_analysis, escalar_t_swap,
escalar_t_resident, escalar_t_rp);
}
}
Porg0[ithBH][2] = Porg1[ithBH][2];
}
}
}
//================================================================================================
@@ -2533,13 +2023,12 @@ void bssnEScalar_class::Interp_Constraint()
}
}
ofstream outfile;
char suffix[64];
sprintf(suffix, "/interp_constraint_%05d.dat", int(PhysTime / dT + 0.5));
string filename = ErrorMonitor->out_dir + suffix;
// 0.5 for round off
outfile.open(filename.c_str());
ofstream outfile;
char filename[50];
sprintf(filename, "%s/interp_constraint_%05d.dat", ErrorMonitor->out_dir.c_str(), int(PhysTime / dT + 0.5));
// 0.5 for round off
outfile.open(filename);
outfile << "# corrdinate, H_Res, Px_Res, Py_Res, Pz_Res, Gx_Res, Gy_Res, Gz_Res, fR_Res, ...." << endl;
for (int i = 0; i < n; i++)
{
@@ -2585,44 +2074,14 @@ void bssnEScalar_class::Constraint_Out()
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank)
{
bool used_cuda_constraints = false;
#if USE_CUDA_BSSN
{
double *state_in[BSSN_ESCALAR_CUDA_STATE_COUNT];
if (!fill_bssn_escalar_cuda_views(cg, StateList, state_in))
{
cout << "CUDA BSSN-EScalar constraint state list mismatch" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
double *constraint_out[8] = {
cg->fgfs[Cons_Ham->sgfn], cg->fgfs[Cons_Px->sgfn],
cg->fgfs[Cons_Py->sgfn], cg->fgfs[Cons_Pz->sgfn],
cg->fgfs[Cons_Gx->sgfn], cg->fgfs[Cons_Gy->sgfn],
cg->fgfs[Cons_Gz->sgfn], cg->fgfs[Cons_fR->sgfn]};
int lev_arg = lev;
int sym_arg = Symmetry;
double eps_arg = ndeps;
if (bssn_escalar_cuda_compute_constraints(cg->shape, cg->X[0], cg->X[1], cg->X[2],
state_in, constraint_out,
sym_arg, lev_arg, eps_arg))
{
cout << "CUDA BSSN-EScalar constraint compute failed in domain: ("
<< cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
used_cuda_constraints = true;
}
#endif
if (!used_cuda_constraints && lev > 0)
f_compute_rhs_bssn_escalar(cg->shape, TRK4, cg->X[0], cg->X[1], cg->X[2],
cg->fgfs[phi0->sgfn], cg->fgfs[trK0->sgfn],
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->sgfn],
cg->fgfs[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn],
Block *cg = BP->data;
if (myrank == cg->rank)
{
if (lev > 0)
f_compute_rhs_bssn_escalar(cg->shape, TRK4, cg->X[0], cg->X[1], cg->X[2],
cg->fgfs[phi0->sgfn], cg->fgfs[trK0->sgfn],
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->sgfn],
cg->fgfs[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn],
cg->fgfs[Axx0->sgfn], cg->fgfs[Axy0->sgfn], cg->fgfs[Axz0->sgfn],
cg->fgfs[Ayy0->sgfn], cg->fgfs[Ayz0->sgfn], cg->fgfs[Azz0->sgfn],
cg->fgfs[Gmx0->sgfn], cg->fgfs[Gmy0->sgfn], cg->fgfs[Gmz0->sgfn],
@@ -2651,16 +2110,15 @@ void bssnEScalar_class::Constraint_Out()
cg->fgfs[Gamzyy->sgfn], cg->fgfs[Gamzyz->sgfn], cg->fgfs[Gamzzz->sgfn],
cg->fgfs[Rxx->sgfn], cg->fgfs[Rxy->sgfn], cg->fgfs[Rxz->sgfn],
cg->fgfs[Ryy->sgfn], cg->fgfs[Ryz->sgfn], cg->fgfs[Rzz->sgfn],
cg->fgfs[Cons_Ham->sgfn],
cg->fgfs[Cons_Px->sgfn], cg->fgfs[Cons_Py->sgfn], cg->fgfs[Cons_Pz->sgfn],
cg->fgfs[Cons_Gx->sgfn], cg->fgfs[Cons_Gy->sgfn], cg->fgfs[Cons_Gz->sgfn],
Symmetry, lev, ndeps, pre);
if (!used_cuda_constraints)
f_compute_constraint_fr(cg->shape, cg->X[0], cg->X[1], cg->X[2],
cg->fgfs[phi0->sgfn], cg->fgfs[trK0->sgfn],
cg->fgfs[rho->sgfn], cg->fgfs[Sphi0->sgfn],
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->sgfn],
cg->fgfs[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn],
cg->fgfs[Cons_Ham->sgfn],
cg->fgfs[Cons_Px->sgfn], cg->fgfs[Cons_Py->sgfn], cg->fgfs[Cons_Pz->sgfn],
cg->fgfs[Cons_Gx->sgfn], cg->fgfs[Cons_Gy->sgfn], cg->fgfs[Cons_Gz->sgfn],
Symmetry, lev, ndeps, pre);
f_compute_constraint_fr(cg->shape, cg->X[0], cg->X[1], cg->X[2],
cg->fgfs[phi0->sgfn], cg->fgfs[trK0->sgfn],
cg->fgfs[rho->sgfn], cg->fgfs[Sphi0->sgfn],
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->sgfn],
cg->fgfs[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn],
cg->fgfs[Axx0->sgfn], cg->fgfs[Axy0->sgfn], cg->fgfs[Axz0->sgfn],
cg->fgfs[Ayy0->sgfn], cg->fgfs[Ayz0->sgfn], cg->fgfs[Azz0->sgfn],
cg->fgfs[Rxx->sgfn], cg->fgfs[Rxy->sgfn], cg->fgfs[Rxz->sgfn],

File diff suppressed because it is too large Load Diff

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@@ -45,12 +45,10 @@ public:
int checkrun;
char checkfilename[50];
int Steps;
double StartTime, TotalTime;
double AnasTime, DumpTime, d2DumpTime, CheckTime;
double LastAnas, LastConsOut;
bool cuda_level0_constraint_cache_valid;
int *ConstraintRefreshLevels;
double Courant;
double StartTime, TotalTime;
double AnasTime, DumpTime, d2DumpTime, CheckTime;
double LastAnas, LastConsOut;
double Courant;
double numepss, numepsb, numepsh;
int Symmetry;
int maxl, decn;
@@ -130,21 +128,22 @@ public:
Parallel::SyncCache *sync_cache_pre; // per-level cache for predictor sync
Parallel::SyncCache *sync_cache_cor; // per-level cache for corrector sync
Parallel::SyncCache *sync_cache_rp_coarse; // RestrictProlong sync on PatL[lev-1]
Parallel::SyncCache *sync_cache_rp_fine; // RestrictProlong sync on PatL[lev]
Parallel::SyncCache *sync_cache_restrict; // cached Restrict in RestrictProlong
Parallel::SyncCache *sync_cache_outbd; // cached OutBdLow2Hi in RestrictProlong
Parallel::SyncCache *sync_cache_rp_coarse; // RestrictProlong sync on PatL[lev-1]
Parallel::SyncCache *sync_cache_rp_fine; // RestrictProlong sync on PatL[lev]
Parallel::SyncCache *sync_cache_restrict; // cached Restrict in RestrictProlong
Parallel::SyncCache *sync_cache_outbd; // cached OutBdLow2Hi in RestrictProlong
Parallel::SyncCache *sync_cache_psi4; // cached Psi4 sync on PatL[lev]
monitor *ErrorMonitor, *Psi4Monitor, *BHMonitor, *MAPMonitor;
monitor *ConVMonitor, *TimingMonitor;
surface_integral *Waveshell;
monitor *ErrorMonitor, *Psi4Monitor, *BHMonitor, *MAPMonitor;
monitor *ConVMonitor;
surface_integral *Waveshell;
checkpoint *CheckPoint;
public:
bssn_class(double Couranti, double StartTimei, double TotalTimei, double DumpTimei, double d2DumpTimei, double CheckTimei, double AnasTimei,
int Symmetryi, int checkruni, char *checkfilenamei, double numepssi, double numepsbi, double numepshi,
int a_levi, int maxli, int decni, double maxrexi, double drexi);
virtual ~bssn_class();
~bssn_class();
void Evolve(int Steps);
void RecursiveStep(int lev);
@@ -173,16 +172,20 @@ public:
bool check_Stdin_Abort();
virtual void Setup_Initial_Data_Cao();
virtual void Setup_Initial_Data_Lousto();
virtual void Initialize();
virtual void Read_Ansorg();
virtual void Read_Pablo() {};
virtual void Compute_Psi4(int lev);
virtual void Step(int lev, int YN);
virtual void Interp_Constraint(bool infg);
virtual void Constraint_Out();
virtual void Compute_Constraint();
virtual void Setup_Initial_Data_Cao();
virtual void Setup_Initial_Data_Lousto();
virtual void Initialize();
virtual void Read_Ansorg();
virtual void Read_Pablo() {};
void InvalidateSyncCaches();
virtual void Compute_Psi4(int lev);
virtual void Step(int lev, int YN);
#ifdef USE_GPU
void Step_MainPath_GPU(int lev, int YN);
#endif
virtual void Interp_Constraint(bool infg);
virtual void Constraint_Out();
virtual void Compute_Constraint();
#ifdef With_AHF
protected:

File diff suppressed because it is too large Load Diff

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@@ -0,0 +1,68 @@
#ifndef BSSN_CUDA_OPS_H
#define BSSN_CUDA_OPS_H
int bssn_cuda_enforce_ga(int *ex,
double *dxx, double *gxy, double *gxz,
double *dyy, double *gyz, double *dzz,
double *Axx, double *Axy, double *Axz,
double *Ayy, double *Ayz, double *Azz);
int bssn_cuda_rk4_boundary_var(int *ex, double dT,
const double *X, const double *Y, const double *Z,
double xmin, double ymin, double zmin,
double xmax, double ymax, double zmax,
const double *state0,
const double *phi_field,
const double *lap_field,
const double *boundary_src,
double *stage_data,
double *rhs_accum,
double propspeed,
const double SoA[3],
int symmetry,
int lev,
int rk_stage,
bool force_host_boundary_fix,
bool download_to_host = true);
int bssn_cuda_rk4_boundary_batch(int *ex, double dT,
const double *X, const double *Y, const double *Z,
double xmin, double ymin, double zmin,
double xmax, double ymax, double zmax,
int symmetry,
const double *const *state0_list,
double *const *stage_data_list,
double *const *rhs_accum_list,
int num_var,
int rk_stage,
bool download_to_host = false);
int bssn_cuda_lowerbound(int *ex, double *chi, double tinny, bool download_to_host = true);
int bssn_cuda_download_buffer(int *ex, double *host_ptr);
void bssn_cuda_release_rk4_caches();
void bssn_cuda_release_interp_caches();
int bssn_cuda_prolong3_pack(int wei,
const double *llbc, const double *uubc, const int *extc, const double *func,
const double *llbf, const double *uubf, const int *extf, double *funf,
const double *llbp, const double *uubp,
const double *SoA, int symmetry);
int bssn_cuda_restrict3_pack(int wei,
const double *llbc, const double *uubc, const int *extc, double *func,
const double *llbf, const double *uubf, const int *extf, const double *funf,
const double *llbr, const double *uubr,
const double *SoA, int symmetry);
int bssn_cuda_interp_points_batch(const int *ex,
const double *X, const double *Y, const double *Z,
const double *const *fields,
const double *soa_flat,
int num_var,
const double *px, const double *py, const double *pz,
int num_points,
int ordn,
int symmetry,
double *out);
#endif

View File

@@ -0,0 +1,936 @@
#include "macrodef.h"
#ifdef USE_GPU
#include <algorithm>
#include <cmath>
#include <cstring>
#include <cstdlib>
#include <iomanip>
#include <vector>
#include "bssn_class.h"
#include "bssn_cuda_ops.h"
#include "bssn_gpu.h"
#include "bssn_macro.h"
namespace
{
enum StageProfileMetric
{
STAGE_PROFILE_TOTAL = 0,
STAGE_PROFILE_RHS,
STAGE_PROFILE_RUN_STAGE,
STAGE_PROFILE_RUN_STAGE_DEVICE,
STAGE_PROFILE_RUN_STAGE_HOST_FIX,
STAGE_PROFILE_LOWERBOUND,
STAGE_PROFILE_ENSURE,
STAGE_PROFILE_DOWNLOAD,
STAGE_PROFILE_CLEAR_CACHE,
STAGE_PROFILE_SYNC_START,
STAGE_PROFILE_SYNC_FINISH,
STAGE_PROFILE_REFRESH,
STAGE_PROFILE_COUNT
};
static const int kStageProfileMaxLevels = 32;
struct StageProfileStore
{
bool env_checked;
bool enabled;
int calls[kStageProfileMaxLevels];
double metric[kStageProfileMaxLevels][STAGE_PROFILE_COUNT];
};
StageProfileStore &stage_profile_store()
{
static StageProfileStore store = {};
return store;
}
bool stage_profile_enabled()
{
StageProfileStore &store = stage_profile_store();
if (!store.env_checked)
{
const char *env = getenv("AMSS_GPU_STAGE_TIMING");
store.enabled = (env && env[0] && strcmp(env, "0") != 0);
store.env_checked = true;
}
return store.enabled;
}
void stage_profile_note_call(int lev)
{
if (lev >= 0 && lev < kStageProfileMaxLevels)
stage_profile_store().calls[lev]++;
}
void stage_profile_add(int lev, StageProfileMetric metric, double seconds)
{
if (lev >= 0 && lev < kStageProfileMaxLevels)
stage_profile_store().metric[lev][metric] += seconds;
}
const char *stage_profile_metric_name(StageProfileMetric metric)
{
switch (metric)
{
case STAGE_PROFILE_TOTAL:
return "total";
case STAGE_PROFILE_RHS:
return "rhs";
case STAGE_PROFILE_RUN_STAGE:
return "run_stage";
case STAGE_PROFILE_RUN_STAGE_DEVICE:
return "run_stage_dev";
case STAGE_PROFILE_RUN_STAGE_HOST_FIX:
return "run_stage_host";
case STAGE_PROFILE_LOWERBOUND:
return "lower";
case STAGE_PROFILE_ENSURE:
return "ensure";
case STAGE_PROFILE_DOWNLOAD:
return "download";
case STAGE_PROFILE_CLEAR_CACHE:
return "clear_cache";
case STAGE_PROFILE_SYNC_START:
return "sync_start";
case STAGE_PROFILE_SYNC_FINISH:
return "sync_finish";
case STAGE_PROFILE_REFRESH:
return "refresh";
default:
return "unknown";
}
}
} // namespace
void bssn_cuda_dump_stage_profile()
{
if (!stage_profile_enabled())
return;
int myrank = 0;
MPI_Comm_rank(MPI_COMM_WORLD, &myrank);
StageProfileStore &store = stage_profile_store();
int global_calls_sum[kStageProfileMaxLevels] = {};
double global_metric_sum[kStageProfileMaxLevels][STAGE_PROFILE_COUNT] = {};
double global_metric_max[kStageProfileMaxLevels][STAGE_PROFILE_COUNT] = {};
MPI_Reduce(store.calls, global_calls_sum, kStageProfileMaxLevels, MPI_INT, MPI_SUM, 0, MPI_COMM_WORLD);
MPI_Reduce(store.metric[0], global_metric_sum[0],
kStageProfileMaxLevels * STAGE_PROFILE_COUNT,
MPI_DOUBLE, MPI_SUM, 0, MPI_COMM_WORLD);
MPI_Reduce(store.metric[0], global_metric_max[0],
kStageProfileMaxLevels * STAGE_PROFILE_COUNT,
MPI_DOUBLE, MPI_MAX, 0, MPI_COMM_WORLD);
if (myrank != 0)
return;
cout << endl;
cout << " GPU stage timing summary (sum/max over MPI ranks) " << endl;
cout << " lev calls";
for (int metric = 0; metric < STAGE_PROFILE_COUNT; ++metric)
cout << " " << setw(22) << stage_profile_metric_name(static_cast<StageProfileMetric>(metric));
cout << endl;
for (int lev = 0; lev < kStageProfileMaxLevels; ++lev)
{
if (global_calls_sum[lev] == 0)
continue;
cout << setw(4) << lev << " " << setw(5) << global_calls_sum[lev];
for (int metric = 0; metric < STAGE_PROFILE_COUNT; ++metric)
{
cout << " "
<< setw(10) << setprecision(6) << fixed << global_metric_sum[lev][metric]
<< "/"
<< setw(10) << setprecision(6) << fixed << global_metric_max[lev][metric];
}
cout << endl;
}
cout << endl;
}
void bssn_class::Step_MainPath_GPU(int lev, int YN)
{
#ifdef WithShell
#error "Step_MainPath_GPU currently supports Patch grids only."
#endif
const bool profile_enabled = stage_profile_enabled();
const double step_total_begin = profile_enabled ? MPI_Wtime() : 0.0;
if (profile_enabled)
stage_profile_note_call(lev);
if (bssn_gpu_bind_process_device(myrank))
{
cerr << "GPU device bind failure on MPI rank " << myrank << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
if (profile_enabled)
{
const double t0 = MPI_Wtime();
bssn_gpu_clear_cached_device_buffers();
stage_profile_add(lev, STAGE_PROFILE_CLEAR_CACHE, MPI_Wtime() - t0);
}
else
bssn_gpu_clear_cached_device_buffers();
setpbh(BH_num, Porg0, Mass, BH_num_input);
const double dT_lev = dT * pow(0.5, Mymax(lev, trfls));
#if (MAPBH == 1)
if (BH_num > 0 && lev == GH->levels - 1)
{
compute_Porg_rhs(Porg0, Porg_rhs, Sfx0, Sfy0, Sfz0, lev);
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
for (int ith = 0; ith < 3; ith++)
Porg1[ithBH][ith] = Porg0[ithBH][ith] + Porg_rhs[ithBH][ith] * dT_lev;
if (Symmetry > 0)
Porg1[ithBH][2] = fabs(Porg1[ithBH][2]);
if (Symmetry == 2)
{
Porg1[ithBH][0] = fabs(Porg1[ithBH][0]);
Porg1[ithBH][1] = fabs(Porg1[ithBH][1]);
}
}
}
if (lev == a_lev)
AnalysisStuff(lev, dT_lev);
#endif
#ifdef With_AHF
AH_Step_Find(lev, dT_lev);
#endif
const bool BB = fgt(PhysTime, StartTime, dT_lev / 2);
(void)BB;
double ndeps = (lev < GH->movls) ? numepsb : numepss;
double TRK4 = PhysTime;
int iter_count = 0;
int pre = 0, cor = 1;
int ERROR = 0;
const bool keep_stage_sync_on_device = (RPS == 1) && (MAPBH == 1) && (REGLEV == 0);
auto run_stage_on_block =
[&](Block *cg, Patch *patch, MyList<var> *state0_list,
MyList<var> *boundary_src_list, MyList<var> *stage_data_list,
MyList<var> *rhs_list, int rk_stage) {
MyList<var> *varl0 = state0_list;
MyList<var> *varlb = boundary_src_list;
MyList<var> *varls = stage_data_list;
MyList<var> *varlr = rhs_list;
std::vector<const double *> batch_state0;
std::vector<double *> batch_stage;
std::vector<double *> batch_rhs;
while (varl0)
{
const bool force_host_boundary_fix = false;
const bool can_batch_device_path = (lev > 0) && !force_host_boundary_fix;
if (can_batch_device_path)
{
batch_state0.push_back(cg->fgfs[varl0->data->sgfn]);
batch_stage.push_back(cg->fgfs[varls->data->sgfn]);
batch_rhs.push_back(cg->fgfs[varlr->data->sgfn]);
varl0 = varl0->next;
varlb = varlb->next;
varls = varls->next;
varlr = varlr->next;
continue;
}
const double var_begin = profile_enabled ? MPI_Wtime() : 0.0;
if (bssn_cuda_rk4_boundary_var(cg->shape, dT_lev,
cg->X[0], cg->X[1], cg->X[2],
patch->bbox[0], patch->bbox[1], patch->bbox[2],
patch->bbox[3], patch->bbox[4], patch->bbox[5],
cg->fgfs[varl0->data->sgfn],
cg->fgfs[phi0->sgfn],
cg->fgfs[Lap0->sgfn],
cg->fgfs[varlb->data->sgfn],
cg->fgfs[varls->data->sgfn],
cg->fgfs[varlr->data->sgfn],
varl0->data->propspeed,
varl0->data->SoA,
Symmetry, lev, rk_stage,
force_host_boundary_fix, false))
{
cerr << "GPU rk4/boundary failure: lev=" << lev
<< " rk_stage=" << rk_stage
<< " var=" << varl0->data->name
<< " bbox=(" << cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
break;
}
if (profile_enabled)
{
stage_profile_add(lev,
force_host_boundary_fix ? STAGE_PROFILE_RUN_STAGE_HOST_FIX
: STAGE_PROFILE_RUN_STAGE_DEVICE,
MPI_Wtime() - var_begin);
}
varl0 = varl0->next;
varlb = varlb->next;
varls = varls->next;
varlr = varlr->next;
}
if (!ERROR && !batch_state0.empty())
{
const double batch_begin = profile_enabled ? MPI_Wtime() : 0.0;
if (bssn_cuda_rk4_boundary_batch(cg->shape, dT_lev,
cg->X[0], cg->X[1], cg->X[2],
patch->bbox[0], patch->bbox[1], patch->bbox[2],
patch->bbox[3], patch->bbox[4], patch->bbox[5],
Symmetry,
&batch_state0[0],
&batch_stage[0],
&batch_rhs[0],
static_cast<int>(batch_state0.size()),
rk_stage, false))
{
cerr << "GPU rk4/boundary batch failure: lev=" << lev
<< " rk_stage=" << rk_stage
<< " vars=" << batch_state0.size()
<< " bbox=(" << cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
}
else if (profile_enabled)
{
stage_profile_add(lev, STAGE_PROFILE_RUN_STAGE_DEVICE, MPI_Wtime() - batch_begin);
}
}
};
auto stage_download_var_list =
[&](Block *cg, MyList<var> *var_list, bool skip_unmapped) {
std::vector<double *> batch_host_ptrs;
std::vector<MyList<var> *> batch_vars;
while (var_list)
{
double *host_ptr = cg->fgfs[var_list->data->sgfn];
if (skip_unmapped && !bssn_gpu_find_device_buffer(host_ptr))
{
var_list = var_list->next;
continue;
}
batch_host_ptrs.push_back(host_ptr);
batch_vars.push_back(var_list);
var_list = var_list->next;
}
if (!batch_host_ptrs.empty() &&
bssn_gpu_download_buffer_batch(cg->shape, &batch_host_ptrs[0],
static_cast<int>(batch_host_ptrs.size())))
{
for (size_t i = 0; i < batch_host_ptrs.size(); ++i)
{
if (bssn_cuda_download_buffer(cg->shape, batch_host_ptrs[i]))
{
cerr << "GPU stage download failure: lev=" << lev
<< " var=" << batch_vars[i]->data->name
<< " bbox=(" << cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
break;
}
}
}
};
auto stage_download_patch_list =
[&](MyList<var> *var_list, bool skip_unmapped) {
MyList<Patch> *patch_it = GH->PatL[lev];
while (patch_it)
{
MyList<Block> *block_it = patch_it->data->blb;
while (block_it)
{
Block *cg = block_it->data;
if (myrank == cg->rank)
stage_download_var_list(cg, var_list, skip_unmapped);
if (block_it == patch_it->data->ble)
break;
block_it = block_it->next;
}
if (ERROR)
break;
patch_it = patch_it->next;
}
};
auto ensure_stage_device_var_list =
[&](Block *cg, MyList<var> *var_list) {
const int n = cg->shape[0] * cg->shape[1] * cg->shape[2];
while (var_list)
{
double *host_ptr = cg->fgfs[var_list->data->sgfn];
if (!bssn_gpu_find_device_buffer(host_ptr) &&
bssn_gpu_stage_upload_buffer(host_ptr, n))
{
cerr << "GPU state ensure failure: lev=" << lev
<< " var=" << var_list->data->name
<< " bbox=(" << cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
break;
}
var_list = var_list->next;
}
};
auto refresh_synced_device_regions =
[&](Block *cg, MyList<var> *var_list, Parallel::SyncCache &cache) {
std::vector<Parallel::gridseg *> local_segments;
for (int node = 0; node < cache.cpusize; ++node)
{
MyList<Parallel::gridseg> *seg = cache.combined_dst[node];
while (seg)
{
if (seg->data && seg->data->Bg == cg)
local_segments.push_back(seg->data);
seg = seg->next;
}
}
if (local_segments.empty())
return;
const int n = cg->shape[0] * cg->shape[1] * cg->shape[2];
while (var_list)
{
double *host_ptr = cg->fgfs[var_list->data->sgfn];
if (!bssn_gpu_find_device_buffer(host_ptr))
{
if (bssn_gpu_stage_upload_buffer(host_ptr, n))
{
cerr << "GPU sync refresh upload failure: lev=" << lev
<< " var=" << var_list->data->name
<< " bbox=(" << cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
break;
}
}
else
{
for (size_t i = 0; i < local_segments.size(); ++i)
{
Parallel::gridseg *seg = local_segments[i];
if (bssn_gpu_stage_upload_region(host_ptr,
cg->shape,
cg->bbox,
cg->bbox + dim,
seg->shape,
seg->llb))
{
cerr << "GPU sync region refresh failure: lev=" << lev
<< " var=" << var_list->data->name
<< " bbox=(" << cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
break;
}
}
if (ERROR)
break;
}
var_list = var_list->next;
}
};
auto refresh_stage_device_after_sync =
[&](MyList<var> *var_list, Parallel::SyncCache &cache) {
MyList<Patch> *patch_it = GH->PatL[lev];
while (patch_it)
{
MyList<Block> *block_it = patch_it->data->blb;
while (block_it)
{
Block *cg = block_it->data;
if (myrank == cg->rank)
refresh_synced_device_regions(cg, var_list, cache);
if (block_it == patch_it->data->ble)
break;
block_it = block_it->next;
}
if (ERROR)
break;
patch_it = patch_it->next;
}
};
auto refresh_stage_host_before_sync =
[&](MyList<var> *var_list, Parallel::SyncCache &cache) -> bool {
if (!cache.valid || !cache.combined_src || myrank < 0 || myrank >= cache.cpusize)
return false;
MyList<Patch> *patch_it = GH->PatL[lev];
while (patch_it)
{
MyList<Block> *block_it = patch_it->data->blb;
while (block_it)
{
Block *cg = block_it->data;
if (myrank == cg->rank)
{
std::vector<Parallel::gridseg *> local_segments;
MyList<Parallel::gridseg> *seg = cache.combined_src[myrank];
while (seg)
{
if (seg->data && seg->data->Bg == cg)
local_segments.push_back(seg->data);
seg = seg->next;
}
if (!local_segments.empty())
{
MyList<var> *var_it = var_list;
while (var_it)
{
double *host_ptr = cg->fgfs[var_it->data->sgfn];
for (size_t i = 0; i < local_segments.size(); ++i)
{
Parallel::gridseg *src_seg = local_segments[i];
if (bssn_gpu_stage_download_region(host_ptr,
cg->shape,
cg->bbox,
cg->bbox + dim,
src_seg->shape,
src_seg->llb))
{
cerr << "GPU sync region download failure: lev=" << lev
<< " var=" << var_it->data->name
<< " bbox=(" << cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
return true;
}
}
var_it = var_it->next;
}
}
}
if (block_it == patch_it->data->ble)
break;
block_it = block_it->next;
}
patch_it = patch_it->next;
}
return true;
};
auto can_pack_sync_from_device =
[&](MyList<var> *var_list, Parallel::SyncCache &cache) -> bool {
if (!cache.valid || !cache.combined_src || myrank < 0 || myrank >= cache.cpusize)
return false;
MyList<Parallel::gridseg> *seg = cache.combined_src[myrank];
while (seg)
{
MyList<var> *var_it = var_list;
while (var_it)
{
if (!bssn_gpu_find_device_buffer(seg->data->Bg->fgfs[var_it->data->sgfn]))
return false;
var_it = var_it->next;
}
seg = seg->next;
}
return true;
};
MyList<Patch> *Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank)
{
double t0 = 0.0;
if (profile_enabled)
t0 = MPI_Wtime();
if (gpu_rhs(CALLED_BY_STEP, myrank, RHS_PARA_CALLED_FIRST_TIME))
ERROR = 1;
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_RHS, MPI_Wtime() - t0);
if (profile_enabled)
t0 = MPI_Wtime();
run_stage_on_block(cg, Pp->data, StateList, StateList, SynchList_pre, RHSList, iter_count);
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_RUN_STAGE, MPI_Wtime() - t0);
if (profile_enabled)
t0 = MPI_Wtime();
if (bssn_cuda_lowerbound(cg->shape, cg->fgfs[phi->sgfn], chitiny, false))
{
cerr << "GPU lowerbound failure: lev=" << lev
<< " rk_stage=" << iter_count
<< " var=" << phi->name
<< " bbox=(" << cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
}
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_LOWERBOUND, MPI_Wtime() - t0);
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
if (!ERROR)
{
if (!keep_stage_sync_on_device)
{
double t0 = 0.0;
if (profile_enabled)
t0 = MPI_Wtime();
stage_download_patch_list(SynchList_pre, false);
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_DOWNLOAD, MPI_Wtime() - t0);
if (!ERROR)
{
if (profile_enabled)
t0 = MPI_Wtime();
bssn_gpu_clear_cached_device_buffers();
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_CLEAR_CACHE, MPI_Wtime() - t0);
}
}
}
MPI_Request err_req_pre;
{
int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD, &err_req_pre);
}
Parallel::AsyncSyncState async_pre;
if (profile_enabled)
{
const double t0 = MPI_Wtime();
Parallel::Sync_start(GH->PatL[lev], SynchList_pre, Symmetry, sync_cache_pre[lev], async_pre);
stage_profile_add(lev, STAGE_PROFILE_SYNC_START, MPI_Wtime() - t0);
}
else
Parallel::Sync_start(GH->PatL[lev], SynchList_pre, Symmetry, sync_cache_pre[lev], async_pre);
if (profile_enabled)
{
const double t0 = MPI_Wtime();
Parallel::Sync_finish(sync_cache_pre[lev], async_pre, SynchList_pre, Symmetry,
!keep_stage_sync_on_device);
stage_profile_add(lev, STAGE_PROFILE_SYNC_FINISH, MPI_Wtime() - t0);
}
else
Parallel::Sync_finish(sync_cache_pre[lev], async_pre, SynchList_pre, Symmetry,
!keep_stage_sync_on_device);
if (!ERROR && !keep_stage_sync_on_device)
{
if (profile_enabled)
{
const double t0 = MPI_Wtime();
refresh_stage_device_after_sync(SynchList_pre, sync_cache_pre[lev]);
stage_profile_add(lev, STAGE_PROFILE_REFRESH, MPI_Wtime() - t0);
}
else
refresh_stage_device_after_sync(SynchList_pre, sync_cache_pre[lev]);
}
MPI_Wait(&err_req_pre, MPI_STATUS_IGNORE);
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], StateList, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in state variables at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#if (MAPBH == 0)
if (BH_num > 0 && lev == GH->levels - 1)
{
compute_Porg_rhs(Porg0, Porg_rhs, Sfx0, Sfy0, Sfz0, lev);
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][0], Porg[ithBH][0], Porg_rhs[ithBH][0], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][1], Porg[ithBH][1], Porg_rhs[ithBH][1], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][2], Porg[ithBH][2], Porg_rhs[ithBH][2], iter_count);
if (Symmetry > 0)
Porg[ithBH][2] = fabs(Porg[ithBH][2]);
if (Symmetry == 2)
{
Porg[ithBH][0] = fabs(Porg[ithBH][0]);
Porg[ithBH][1] = fabs(Porg[ithBH][1]);
}
}
}
if (lev == a_lev)
AnalysisStuff(lev, dT_lev);
#endif
for (iter_count = 1; iter_count < 4; iter_count++)
{
if (iter_count == 1 || iter_count == 3)
TRK4 += dT_lev / 2;
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank)
{
double t0 = 0.0;
if (profile_enabled)
t0 = MPI_Wtime();
ensure_stage_device_var_list(cg, SynchList_pre);
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_ENSURE, MPI_Wtime() - t0);
if (profile_enabled)
t0 = MPI_Wtime();
if (gpu_rhs(CALLED_BY_STEP, myrank, RHS_PARA_CALLED_THEN))
ERROR = 1;
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_RHS, MPI_Wtime() - t0);
if (profile_enabled)
t0 = MPI_Wtime();
run_stage_on_block(cg, Pp->data, StateList, SynchList_pre, SynchList_cor, RHSList, iter_count);
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_RUN_STAGE, MPI_Wtime() - t0);
if (profile_enabled)
t0 = MPI_Wtime();
if (bssn_cuda_lowerbound(cg->shape, cg->fgfs[phi1->sgfn], chitiny, false))
{
cerr << "GPU lowerbound failure: lev=" << lev
<< " rk_stage=" << iter_count
<< " var=" << phi1->name
<< " bbox=(" << cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
}
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_LOWERBOUND, MPI_Wtime() - t0);
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
if (!ERROR)
{
if (!keep_stage_sync_on_device)
{
double t0 = 0.0;
if (profile_enabled)
t0 = MPI_Wtime();
stage_download_patch_list(SynchList_cor, false);
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_DOWNLOAD, MPI_Wtime() - t0);
if (!ERROR)
{
if (profile_enabled)
t0 = MPI_Wtime();
bssn_gpu_clear_cached_device_buffers();
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_CLEAR_CACHE, MPI_Wtime() - t0);
}
}
}
MPI_Request err_req_cor;
{
int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD, &err_req_cor);
}
Parallel::AsyncSyncState async_cor;
if (profile_enabled)
{
const double t0 = MPI_Wtime();
Parallel::Sync_start(GH->PatL[lev], SynchList_cor, Symmetry, sync_cache_cor[lev], async_cor);
stage_profile_add(lev, STAGE_PROFILE_SYNC_START, MPI_Wtime() - t0);
}
else
Parallel::Sync_start(GH->PatL[lev], SynchList_cor, Symmetry, sync_cache_cor[lev], async_cor);
if (profile_enabled)
{
const double t0 = MPI_Wtime();
Parallel::Sync_finish(sync_cache_cor[lev], async_cor, SynchList_cor, Symmetry,
!keep_stage_sync_on_device);
stage_profile_add(lev, STAGE_PROFILE_SYNC_FINISH, MPI_Wtime() - t0);
}
else
Parallel::Sync_finish(sync_cache_cor[lev], async_cor, SynchList_cor, Symmetry,
!keep_stage_sync_on_device);
if (!ERROR && !keep_stage_sync_on_device && iter_count < 3)
{
if (profile_enabled)
{
const double t0 = MPI_Wtime();
refresh_stage_device_after_sync(SynchList_cor, sync_cache_cor[lev]);
stage_profile_add(lev, STAGE_PROFILE_REFRESH, MPI_Wtime() - t0);
}
else
refresh_stage_device_after_sync(SynchList_cor, sync_cache_cor[lev]);
}
MPI_Wait(&err_req_cor, MPI_STATUS_IGNORE);
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], SynchList_pre, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in RK4 substep#" << iter_count
<< " variables at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#if (MAPBH == 0)
if (BH_num > 0 && lev == GH->levels - 1)
{
compute_Porg_rhs(Porg, Porg1, Sfx, Sfy, Sfz, lev);
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][0], Porg1[ithBH][0], Porg_rhs[ithBH][0], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][1], Porg1[ithBH][1], Porg_rhs[ithBH][1], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][2], Porg1[ithBH][2], Porg_rhs[ithBH][2], iter_count);
if (Symmetry > 0)
Porg1[ithBH][2] = fabs(Porg1[ithBH][2]);
if (Symmetry == 2)
{
Porg1[ithBH][0] = fabs(Porg1[ithBH][0]);
Porg1[ithBH][1] = fabs(Porg1[ithBH][1]);
}
}
}
#endif
if (iter_count < 3)
{
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
BP->data->swapList(SynchList_pre, SynchList_cor, myrank);
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
#if (MAPBH == 0)
if (BH_num > 0 && lev == GH->levels - 1)
{
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
Porg[ithBH][0] = Porg1[ithBH][0];
Porg[ithBH][1] = Porg1[ithBH][1];
Porg[ithBH][2] = Porg1[ithBH][2];
}
}
#endif
}
}
#if (RPS == 0)
RestrictProlong(lev, YN, BB);
#endif
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
cg->swapList(StateList, SynchList_cor, myrank);
cg->swapList(OldStateList, SynchList_cor, myrank);
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
if (!ERROR && keep_stage_sync_on_device)
{
// After the swaps above, only StateList points at arrays updated during this step.
// OldStateList/SynchList_cor remain valid on host because their backing arrays were
// read-only during the RK step, and SynchList_pre is reused only as scratch later.
const double t0 = profile_enabled ? MPI_Wtime() : 0.0;
stage_download_patch_list(StateList, true);
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_DOWNLOAD, MPI_Wtime() - t0);
}
if (profile_enabled)
{
const double t0 = MPI_Wtime();
bssn_gpu_clear_cached_device_buffers();
stage_profile_add(lev, STAGE_PROFILE_CLEAR_CACHE, MPI_Wtime() - t0);
}
else
bssn_gpu_clear_cached_device_buffers();
if (BH_num > 0 && lev == GH->levels - 1)
{
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
Porg0[ithBH][0] = Porg1[ithBH][0];
Porg0[ithBH][1] = Porg1[ithBH][1];
Porg0[ithBH][2] = Porg1[ithBH][2];
}
}
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_TOTAL, MPI_Wtime() - step_total_begin);
}
#endif

4372
AMSS_NCKU_source/bssn_gpu.cu Normal file

File diff suppressed because it is too large Load Diff

View File

@@ -1,56 +1,107 @@
#ifndef BSSN_GPU_H_
#define BSSN_GPU_H_
#include "bssn_macro.h"
#include "macrodef.h"
#define DEVICE_ID 0
// #define DEVICE_ID_BY_MPI_RANK
#ifndef BSSN_GPU_H_
#define BSSN_GPU_H_
#include "bssn_macro.h"
#include "macrodef.fh"
#define GRID_DIM 256
#define BLOCK_DIM 128
#define _FH2_(i, j, k) fh[(i) + (j) * _1D_SIZE[2] + (k) * _2D_SIZE[2]]
#define _FH3_(i, j, k) fh[(i) + (j) * _1D_SIZE[3] + (k) * _2D_SIZE[3]]
#define pow2(x) ((x) * (x))
#define TimeBetween(a, b) ((b.tv_sec - a.tv_sec) + (b.tv_usec - a.tv_usec) / 1000000.0f)
#define M_ metac.
#define Mh_ meta->
#define Ms_ metassc.
#define Msh_ metass->
// #define TIMING
#define RHS_SS_PARA int calledby, int mpi_rank, int *ex, double &T, double *crho, double *sigma, double *R, double *X, double *Y, double *Z, double *drhodx, double *drhody, double *drhodz, double *dsigmadx, double *dsigmady, double *dsigmadz, double *dRdx, double *dRdy, double *dRdz, double *drhodxx, double *drhodxy, double *drhodxz, double *drhodyy, double *drhodyz, double *drhodzz, double *dsigmadxx, double *dsigmadxy, double *dsigmadxz, double *dsigmadyy, double *dsigmadyz, double *dsigmadzz, double *dRdxx, double *dRdxy, double *dRdxz, double *dRdyy, double *dRdyz, double *dRdzz, double *chi, double *trK, double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz, double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz, double *Gamx, double *Gamy, double *Gamz, double *Lap, double *betax, double *betay, double *betaz, double *dtSfx, double *dtSfy, double *dtSfz, double *chi_rhs, double *trK_rhs, double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs, double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs, double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs, double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs, double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs, double *rho, double *Sx, double *Sy, double *Sz, double *Sxx, double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz, double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz, double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz, double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz, double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz, double *ham_Res, double *movx_Res, double *movy_Res, double *movz_Res, double *Gmx_Res, double *Gmy_Res, double *Gmz_Res, int &Symmetry, int &Lev, double &eps, int &sst, int &co
/** main function */
int gpu_rhs(int calledby, int mpi_rank, int *ex, double &T,
double *X, double *Y, double *Z,
double *chi, double *trK,
double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz,
double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz,
double *Gamx, double *Gamy, double *Gamz,
double *Lap, double *betax, double *betay, double *betaz,
double *dtSfx, double *dtSfy, double *dtSfz,
double *chi_rhs, double *trK_rhs,
double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs,
double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs,
double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs,
double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs,
double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs,
double *rho, double *Sx, double *Sy, double *Sz, double *Sxx,
double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz,
double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz,
double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz,
double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz,
double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz,
double *ham_Res, double *movx_Res, double *movy_Res, double *movz_Res,
double *Gmx_Res, double *Gmy_Res, double *Gmz_Res,
int &Symmetry, int &Lev, double &eps, int &co);
#define _FH2_(i, j, k) fh[(i) + (j) * _1D_SIZE[2] + (k) * _2D_SIZE[2]]
#define _FH3_(i, j, k) fh[(i) + (j) * _1D_SIZE[3] + (k) * _2D_SIZE[3]]
#define pow2(x) ((x) * (x))
#define TimeBetween(a, b) ((b.tv_sec - a.tv_sec) + (b.tv_usec - a.tv_usec) / 1000000.0f)
#define M_ metac.
#define Mh_ meta->
#define Ms_ metassc.
#define Msh_ metass->
// #define TIMING
#define RHS_SS_PARA int calledby, int mpi_rank, int *ex, double &T, double *crho, double *sigma, double *R, double *X, double *Y, double *Z, double *drhodx, double *drhody, double *drhodz, double *dsigmadx, double *dsigmady, double *dsigmadz, double *dRdx, double *dRdy, double *dRdz, double *drhodxx, double *drhodxy, double *drhodxz, double *drhodyy, double *drhodyz, double *drhodzz, double *dsigmadxx, double *dsigmadxy, double *dsigmadxz, double *dsigmadyy, double *dsigmadyz, double *dsigmadzz, double *dRdxx, double *dRdxy, double *dRdxz, double *dRdyy, double *dRdyz, double *dRdzz, double *chi, double *trK, double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz, double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz, double *Gamx, double *Gamy, double *Gamz, double *Lap, double *betax, double *betay, double *betaz, double *dtSfx, double *dtSfy, double *dtSfz, double *chi_rhs, double *trK_rhs, double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs, double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs, double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs, double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs, double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs, double *rho, double *Sx, double *Sy, double *Sz, double *Sxx, double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz, double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz, double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz, double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz, double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz, double *ham_Res, double *movx_Res, double *movy_Res, double *movz_Res, double *Gmx_Res, double *Gmy_Res, double *Gmz_Res, int &Symmetry, int &Lev, double &eps, int &sst, int &co
/** main function */
int gpu_rhs(int calledby, int mpi_rank, int *ex, double &T,
double *X, double *Y, double *Z,
double *chi, double *trK,
double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz,
double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz,
double *Gamx, double *Gamy, double *Gamz,
double *Lap, double *betax, double *betay, double *betaz,
double *dtSfx, double *dtSfy, double *dtSfz,
double *chi_rhs, double *trK_rhs,
double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs,
double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs,
double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs,
double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs,
double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs,
double *rho, double *Sx, double *Sy, double *Sz, double *Sxx,
double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz,
double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz,
double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz,
double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz,
double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz,
double *ham_Res, double *movx_Res, double *movy_Res, double *movz_Res,
double *Gmx_Res, double *Gmy_Res, double *Gmz_Res,
int &Symmetry, int &Lev, double &eps, int &co);
int gpu_rhs_ss(RHS_SS_PARA);
#define Z4C_SS_PARA int calledby, int mpi_rank, int *ex, double &T, double *crho, double *sigma, double *R, double *X, double *Y, double *Z, double *drhodx, double *drhody, double *drhodz, double *dsigmadx, double *dsigmady, double *dsigmadz, double *dRdx, double *dRdy, double *dRdz, double *drhodxx, double *drhodxy, double *drhodxz, double *drhodyy, double *drhodyz, double *drhodzz, double *dsigmadxx, double *dsigmadxy, double *dsigmadxz, double *dsigmadyy, double *dsigmadyz, double *dsigmadzz, double *dRdxx, double *dRdxy, double *dRdxz, double *dRdyy, double *dRdyz, double *dRdzz, double *chi, double *trK, double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz, double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz, double *Gamx, double *Gamy, double *Gamz, double *Lap, double *betax, double *betay, double *betaz, double *dtSfx, double *dtSfy, double *dtSfz, double *TZ, double *chi_rhs, double *trK_rhs, double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs, double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs, double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs, double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs, double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs, double *TZ_rhs, double *rho, double *Sx, double *Sy, double *Sz, double *Sxx, double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz, double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz, double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz, double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz, double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz, double *ham_Res, double *movx_Res, double *movy_Res, double *movz_Res, double *Gmx_Res, double *Gmy_Res, double *Gmz_Res, int &Symmetry, int &Lev, double &eps, int &sst, int &co
int bssn_gpu_bind_process_device(int mpi_rank);
void bssn_gpu_clear_cached_device_buffers();
void bssn_gpu_release_pinned_host_buffers();
const double *bssn_gpu_find_device_buffer(const double *host_ptr);
void bssn_gpu_register_device_buffer(const double *host_ptr, const double *device_ptr);
void bssn_gpu_prepare_host_buffer(const double *host_ptr, int count);
int bssn_gpu_stage_upload_buffer(const double *host_ptr, int count);
int bssn_gpu_stage_zero_buffer(const double *host_ptr, int count);
int bssn_gpu_stage_upload_region(const double *host_ptr,
const int *full_shape,
const double *full_llb,
const double *full_uub,
const int *region_shape,
const double *region_llb);
int bssn_gpu_stage_download_region(double *host_ptr,
const int *full_shape,
const double *full_llb,
const double *full_uub,
const int *region_shape,
const double *region_llb);
int bssn_gpu_stage_download_region_to_buffer(const double *host_src_ptr,
const int *full_shape,
const double *full_llb,
const double *full_uub,
const int *region_shape,
const double *region_llb,
double *host_dst_ptr);
int bssn_gpu_stage_upload_buffer_to_region(const double *host_src_ptr,
double *host_dst_ptr,
const int *full_shape,
const double *full_llb,
const double *full_uub,
const int *region_shape,
const double *region_llb);
int bssn_gpu_download_buffer_batch(const int *ex, double **host_ptrs, int num_buffers);
int gpu_rhs_z4c_ss(Z4C_SS_PARA);
#endif
/** Init GPU side data in GPUMeta. */
// void init_fluid_meta_gpu(GPUMeta *gpu_meta);
#endif

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@@ -0,0 +1,210 @@
#ifndef BSSN_GPU_CLASS_H
#define BSSN_GPU_CLASS_H
#ifdef newc
#include <iostream>
#include <iomanip>
#include <fstream>
#include <cstdlib>
#include <string>
#include <cmath>
using namespace std;
#else
#include <iostream.h>
#include <iomanip.h>
#include <fstream.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#endif
#include <mpi.h>
#include "macrodef.h"
#include "cgh.h"
#include "ShellPatch.h"
#include "misc.h"
#include "var.h"
#include "MyList.h"
#include "monitor.h"
#include "surface_integral.h"
#include "checkpoint.h"
// added by yangquan
#include "bssn_macro.h"
extern void setpbh(int iBHN, double **iPBH, double *iMass, int rBHN);
class bssn_class
{
public:
// added by yangquan
//----------------------
int gpu_num_mynode;
int cpu_core_num_mynode;
int mpi_process_num_mynode;
int my_sequence_mynode;
int mynode_id;
int use_gpu;
virtual void Step_GPU(int lev, int YN);
virtual void Get_runtime_envirment();
// virtual void Step_OPENMP(int lev,int YN);
//----------------------
int ngfs;
int nprocs, myrank;
cgh *GH;
ShellPatch *SH;
double PhysTime;
int checkrun;
char checkfilename[50];
int Steps;
double StartTime, TotalTime;
double AnasTime, DumpTime, d2DumpTime, CheckTime;
double LastAnas, LastConsOut;
double Courant;
double numepss, numepsb, numepsh;
int Symmetry;
int maxl, decn;
double maxrex, drex;
int trfls, a_lev;
double dT;
double chitiny;
double **Porg0, **Porgbr, **Porg, **Porg1, **Porg_rhs;
int BH_num, BH_num_input;
double *Mass, *Pmom, *Spin;
double ADMMass;
var *phio, *trKo;
var *gxxo, *gxyo, *gxzo, *gyyo, *gyzo, *gzzo;
var *Axxo, *Axyo, *Axzo, *Ayyo, *Ayzo, *Azzo;
var *Gmxo, *Gmyo, *Gmzo;
var *Lapo, *Sfxo, *Sfyo, *Sfzo;
var *dtSfxo, *dtSfyo, *dtSfzo;
var *phi0, *trK0;
var *gxx0, *gxy0, *gxz0, *gyy0, *gyz0, *gzz0;
var *Axx0, *Axy0, *Axz0, *Ayy0, *Ayz0, *Azz0;
var *Gmx0, *Gmy0, *Gmz0;
var *Lap0, *Sfx0, *Sfy0, *Sfz0;
var *dtSfx0, *dtSfy0, *dtSfz0;
var *phi, *trK;
var *gxx, *gxy, *gxz, *gyy, *gyz, *gzz;
var *Axx, *Axy, *Axz, *Ayy, *Ayz, *Azz;
var *Gmx, *Gmy, *Gmz;
var *Lap, *Sfx, *Sfy, *Sfz;
var *dtSfx, *dtSfy, *dtSfz;
var *phi1, *trK1;
var *gxx1, *gxy1, *gxz1, *gyy1, *gyz1, *gzz1;
var *Axx1, *Axy1, *Axz1, *Ayy1, *Ayz1, *Azz1;
var *Gmx1, *Gmy1, *Gmz1;
var *Lap1, *Sfx1, *Sfy1, *Sfz1;
var *dtSfx1, *dtSfy1, *dtSfz1;
var *phi_rhs, *trK_rhs;
var *gxx_rhs, *gxy_rhs, *gxz_rhs, *gyy_rhs, *gyz_rhs, *gzz_rhs;
var *Axx_rhs, *Axy_rhs, *Axz_rhs, *Ayy_rhs, *Ayz_rhs, *Azz_rhs;
var *Gmx_rhs, *Gmy_rhs, *Gmz_rhs;
var *Lap_rhs, *Sfx_rhs, *Sfy_rhs, *Sfz_rhs;
var *dtSfx_rhs, *dtSfy_rhs, *dtSfz_rhs;
var *rho, *Sx, *Sy, *Sz, *Sxx, *Sxy, *Sxz, *Syy, *Syz, *Szz;
var *Gamxxx, *Gamxxy, *Gamxxz, *Gamxyy, *Gamxyz, *Gamxzz;
var *Gamyxx, *Gamyxy, *Gamyxz, *Gamyyy, *Gamyyz, *Gamyzz;
var *Gamzxx, *Gamzxy, *Gamzxz, *Gamzyy, *Gamzyz, *Gamzzz;
var *Rxx, *Rxy, *Rxz, *Ryy, *Ryz, *Rzz;
var *Rpsi4, *Ipsi4;
var *t1Rpsi4, *t1Ipsi4, *t2Rpsi4, *t2Ipsi4;
var *Cons_Ham, *Cons_Px, *Cons_Py, *Cons_Pz, *Cons_Gx, *Cons_Gy, *Cons_Gz;
#ifdef Point_Psi4
var *phix, *phiy, *phiz;
var *trKx, *trKy, *trKz;
var *Axxx, *Axxy, *Axxz;
var *Axyx, *Axyy, *Axyz;
var *Axzx, *Axzy, *Axzz;
var *Ayyx, *Ayyy, *Ayyz;
var *Ayzx, *Ayzy, *Ayzz;
var *Azzx, *Azzy, *Azzz;
#endif
// FIXME: uc = StateList, up = OldStateList, upp = SynchList_cor; so never touch these three data
MyList<var> *StateList, *SynchList_pre, *SynchList_cor, *RHSList;
MyList<var> *OldStateList, *DumpList;
MyList<var> *ConstraintList;
monitor *ErrorMonitor, *Psi4Monitor, *BHMonitor, *MAPMonitor;
monitor *ConVMonitor;
surface_integral *Waveshell;
checkpoint *CheckPoint;
public:
bssn_class(double Couranti, double StartTimei, double TotalTimei, double DumpTimei, double d2DumpTimei, double CheckTimei, double AnasTimei,
int Symmetryi, int checkruni, char *checkfilenamei, double numepssi, double numepsbi, double numepshi,
int a_levi, int maxli, int decni, double maxrexi, double drexi);
~bssn_class();
void Evolve(int Steps);
void RecursiveStep(int lev);
#if (PSTR == 1)
void ParallelStep();
void SHStep();
#endif
void RestrictProlong(int lev, int YN, bool BB, MyList<var> *SL, MyList<var> *OL, MyList<var> *corL);
void RestrictProlong_aux(int lev, int YN, bool BB, MyList<var> *SL, MyList<var> *OL, MyList<var> *corL);
void RestrictProlong(int lev, int YN, bool BB);
void ProlongRestrict(int lev, int YN, bool BB);
void Setup_Black_Hole_position();
void compute_Porg_rhs(double **BH_PS, double **BH_RHS, var *forx, var *fory, var *forz, int lev);
bool read_Pablo_file(int *ext, double *datain, char *filename);
void write_Pablo_file(int *ext, double xmin, double xmax, double ymin, double ymax, double zmin, double zmax,
char *filename);
void AnalysisStuff(int lev, double dT_lev);
void Setup_KerrSchild();
void Enforce_algcon(int lev, int fg);
void testRestrict();
void testOutBd();
virtual void Setup_Initial_Data_Lousto();
virtual void Setup_Initial_Data_Cao();
virtual void Initialize();
virtual void Read_Ansorg();
virtual void Read_Pablo() {};
virtual void Compute_Psi4(int lev);
virtual void Step(int lev, int YN);
virtual void Interp_Constraint(bool infg);
virtual void Constraint_Out();
virtual void Compute_Constraint();
#ifdef With_AHF
protected:
MyList<var> *AHList, *AHDList, *GaugeList;
int AHfindevery;
double AHdumptime;
int *lastahdumpid, HN_num; // number of possible horizons
int *findeveryl;
double *xc, *yc, *zc, *xr, *yr, *zr;
bool *trigger;
double *dTT;
int *dumpid;
public:
void AH_Prepare_derivatives();
bool AH_Interp_Points(MyList<var> *VarList,
int NN, double **XX,
double *Shellf, int Symmetryi);
void AH_Step_Find(int lev, double dT_lev);
#endif
};
#endif /* BSSN_GPU_CLASS_H */

View File

@@ -20,14 +20,12 @@ using namespace std;
__device__ volatile unsigned int global_count = 0;
#ifdef RESULT_CHECK
void compare_result_gpu(int ftag1,double * datac,int data_num){
double * data = (double*)malloc(sizeof(double)*data_num);
cudaMemcpy(data, datac, data_num * sizeof(double), cudaMemcpyDeviceToHost);
compare_result(ftag1,data,data_num);
free(data);
}
#endif
__global__ void sub_symmetry_bd_ss_partF(int ord, double * func, double *funcc)
{
@@ -155,11 +153,11 @@ __global__ void sub_symmetry_bd_ss_partJ(int ord,double * func, double * funcc,d
inline void sub_symmetry_bd_ss(int ord,double * func, double * funcc,double * SoA){
sub_symmetry_bd_ss_partF<<<GRID_DIM,BLOCK_DIM>>>(ord,func,funcc);
cudaDeviceSynchronize();
cudaThreadSynchronize();
sub_symmetry_bd_ss_partI<<<GRID_DIM,BLOCK_DIM>>>(ord,func,funcc,SoA[0]);
cudaDeviceSynchronize();
cudaThreadSynchronize();
sub_symmetry_bd_ss_partJ<<<GRID_DIM,BLOCK_DIM>>>(ord,func,funcc,SoA[1]);
cudaDeviceSynchronize();
cudaThreadSynchronize();
}
__global__ void sub_fderivs_shc_part1(double *fx,double *fy,double *fz){
@@ -249,13 +247,13 @@ inline void sub_fderivs_shc(int& sst,double * f,double * fh,double *fx,double *f
//cudaMemset(Msh_ gy,0,h_3D_SIZE[0] * sizeof(double));
//cudaMemset(Msh_ gz,0,h_3D_SIZE[0] * sizeof(double));
sub_symmetry_bd_ss(2,f,fh,SoA1);
cudaDeviceSynchronize();
cudaThreadSynchronize();
//compare_result_gpu(0,fh,h_3D_SIZE[2]);
sub_fderivs_sh<<<GRID_DIM,BLOCK_DIM>>>(fh,Msh_ gx,Msh_ gy,Msh_ gz);
cudaDeviceSynchronize();
cudaThreadSynchronize();
sub_fderivs_shc_part1<<<GRID_DIM,BLOCK_DIM>>>(fx,fy,fz);
cudaDeviceSynchronize();
cudaThreadSynchronize();
//compare_result_gpu(1,fx,h_3D_SIZE[0]);
//compare_result_gpu(2,fy,h_3D_SIZE[0]);
//compare_result_gpu(3,fz,h_3D_SIZE[0]);
@@ -453,17 +451,17 @@ inline void sub_fdderivs_shc(int& sst,double * f,double * fh,
//fderivs_sh
sub_symmetry_bd_ss(2,f,fh,SoA1);
cudaDeviceSynchronize();
cudaThreadSynchronize();
//compare_result_gpu(1,fh,h_3D_SIZE[2]);
sub_fderivs_sh<<<GRID_DIM,BLOCK_DIM>>>(fh,Msh_ gx,Msh_ gy,Msh_ gz);
cudaDeviceSynchronize();
cudaThreadSynchronize();
//fdderivs_sh
sub_symmetry_bd_ss(2,f,fh,SoA1);
cudaDeviceSynchronize();
cudaThreadSynchronize();
//compare_result_gpu(21,fh,h_3D_SIZE[2]);
sub_fdderivs_sh<<<GRID_DIM,BLOCK_DIM>>>(fh,Msh_ gxx,Msh_ gxy,Msh_ gxz,Msh_ gyy,Msh_ gyz,Msh_ gzz);
cudaDeviceSynchronize();
cudaThreadSynchronize();
/*compare_result_gpu(11,Msh_ gx,h_3D_SIZE[0]);
compare_result_gpu(12,Msh_ gy,h_3D_SIZE[0]);
compare_result_gpu(13,Msh_ gz,h_3D_SIZE[0]);
@@ -474,7 +472,7 @@ inline void sub_fdderivs_shc(int& sst,double * f,double * fh,
compare_result_gpu(5,Msh_ gyz,h_3D_SIZE[0]);
compare_result_gpu(6,Msh_ gzz,h_3D_SIZE[0]);*/
sub_fdderivs_shc_part1<<<GRID_DIM,BLOCK_DIM>>>(fxx,fxy,fxz,fyy,fyz,fzz);
cudaDeviceSynchronize();
cudaThreadSynchronize();
/*compare_result_gpu(1,fxx,h_3D_SIZE[0]);
compare_result_gpu(2,fxy,h_3D_SIZE[0]);
compare_result_gpu(3,fxz,h_3D_SIZE[0]);
@@ -498,9 +496,9 @@ __global__ void computeRicci_ss_part1(double * dst)
inline void computeRicci_ss(int &sst,double * src,double* dst,double * SoA, Meta* meta)
{
sub_fdderivs_shc(sst,src,Mh_ fh,Mh_ fxx,Mh_ fxy,Mh_ fxz,Mh_ fyy,Mh_ fyz,Mh_ fzz,SoA);
cudaDeviceSynchronize();
cudaThreadSynchronize();
computeRicci_ss_part1<<<GRID_DIM,BLOCK_DIM>>>(dst);
cudaDeviceSynchronize();
cudaThreadSynchronize();
}
__global__ void sub_lopsided_ss_part1(double * dst)
@@ -518,9 +516,9 @@ __global__ void sub_lopsided_ss_part1(double * dst)
inline void sub_lopsided_ss(int& sst,double *src,double* dst,double *SoA)
{
sub_fderivs_shc(sst,src,Mh_ fh,Mh_ fxx,Mh_ fxy,Mh_ fxz,SoA);
cudaDeviceSynchronize();
cudaThreadSynchronize();
sub_lopsided_ss_part1<<<GRID_DIM,BLOCK_DIM>>>(dst);
cudaDeviceSynchronize();
cudaThreadSynchronize();
}
__global__ void sub_kodis_sh_part1(double *f,double *fh,double *f_rhs)
@@ -592,11 +590,11 @@ inline void sub_kodis_ss(int &sst,double *f,double *fh,double *f_rhs,double *SoA
}
//compare_result_gpu(10,f,h_3D_SIZE[0]);
sub_symmetry_bd_ss(3,f,fh,SoA1);
cudaDeviceSynchronize();
cudaThreadSynchronize();
//compare_result_gpu(0,fh,h_3D_SIZE[3]);
sub_kodis_sh_part1<<<GRID_DIM,BLOCK_DIM>>>(f,fh,f_rhs);
cudaDeviceSynchronize();
cudaThreadSynchronize();
//compare_result_gpu(1,f_rhs,h_3D_SIZE[0]);
}
@@ -1701,7 +1699,7 @@ void destroy_meta(Meta *meta,Metass *metass)
if(Msh_ gzz) cudaFree(Msh_ gzz);
#if (GAUGE == 2 || GAUGE == 3 || GAUGE == 4 || GAUGE == 5 || GAUGE == 6 || GAUGE == 7)
if(Mh_ reta) cudaFree(Mh_ reta);
if(Mh_ reta) CUDA_SAFE_CALL(cudaFree(Mh_ reta));
#endif
@@ -1897,7 +1895,7 @@ int gpu_rhs_ss(RHS_SS_PARA)
//1.2 local Data
cudaMalloc((void**)&(Mh_ gxx), matrix_size * sizeof(double));
cudaMalloc((void**)&(Mh_ gyy), matrix_size * sizeof(double));
CUDA_SAFE_CALL( cudaMalloc((void**)&(Mh_ gyy), matrix_size * sizeof(double)));
cudaMalloc((void**)&(Mh_ gzz), matrix_size * sizeof(double));
cudaMalloc((void**)&(Mh_ chix), matrix_size * sizeof(double));
cudaMalloc((void**)&(Mh_ chiy), matrix_size * sizeof(double));
@@ -2162,7 +2160,7 @@ int gpu_rhs_ss(RHS_SS_PARA)
double tmp_con2 = 1/Mass[0] - tmp_con;
cudaMemcpyToSymbol(C1, &tmp_con2, sizeof(double));
tmp_con2 = 1/Mass[1] - tmp_con;
double tmp_con2 = 1/Mass[1] - tmp_con;
cudaMemcpyToSymbol(C2, &tmp_con2, sizeof(double));
@@ -2235,7 +2233,7 @@ int gpu_rhs_ss(RHS_SS_PARA)
if((sst == 2 || sst == 4) && abs[1] < dYh)
{
ijkmin_h[1] = -2;
ijkmin3_h[1] = -3;
ijkmin_h[1] = -3;
}
if((sst == 3 || sst == 5) && abs_Y_ex2 < dYh)
{
@@ -2289,13 +2287,13 @@ int gpu_rhs_ss(RHS_SS_PARA)
#ifdef TIMING1
cudaDeviceSynchronize();
cudaThreadSynchronize();
gettimeofday(&tv2, NULL);
cout<<"TIME USED"<<TimeBetween(tv1, tv2)<<endl;
#endif
//cout<<"GPU meta data ready.\n";
cudaDeviceSynchronize();
cudaThreadSynchronize();
//-------------get device info-------------------------------------
@@ -2308,7 +2306,7 @@ int gpu_rhs_ss(RHS_SS_PARA)
//sub_enforce_ga(matrix_size);
//4.1-----compute rhs---------
compute_rhs_ss_part1<<<GRID_DIM,BLOCK_DIM>>>();
cudaDeviceSynchronize();
cudaThreadSynchronize();
sub_fderivs_shc(sst,Mh_ betax,Mh_ fh,Mh_ betaxx,Mh_ betaxy,Mh_ betaxz,ass);
sub_fderivs_shc(sst,Mh_ betay,Mh_ fh,Mh_ betayx,Mh_ betayy,Mh_ betayz,sas);
@@ -2324,7 +2322,7 @@ int gpu_rhs_ss(RHS_SS_PARA)
sub_fderivs_shc(sst,Mh_ gyz,Mh_ fh,Mh_ gyzx,Mh_ gyzy,Mh_ gyzz, saa);
compute_rhs_ss_part2<<<GRID_DIM,BLOCK_DIM>>>();
cudaDeviceSynchronize();
cudaThreadSynchronize();
sub_fdderivs_shc(sst,Mh_ betax,Mh_ fh,Mh_ gxxx,Mh_ gxyx,Mh_ gxzx,Mh_ gyyx,Mh_ gyzx,Mh_ gzzx,ass);
sub_fdderivs_shc(sst,Mh_ betay,Mh_ fh,Mh_ gxxy,Mh_ gxyy,Mh_ gxzy,Mh_ gyyy,Mh_ gyzy,Mh_ gzzy,sas);
@@ -2334,7 +2332,7 @@ int gpu_rhs_ss(RHS_SS_PARA)
sub_fderivs_shc( sst,Mh_ Gamz, Mh_ fh,Mh_ Gamzx, Mh_ Gamzy, Mh_ Gamzz,ssa);
compute_rhs_ss_part3<<<GRID_DIM,BLOCK_DIM>>>();
cudaDeviceSynchronize();
cudaThreadSynchronize();
computeRicci_ss(sst,Mh_ dxx,Mh_ Rxx,sss, meta);
computeRicci_ss(sst,Mh_ dyy,Mh_ Ryy,sss, meta);
@@ -2342,25 +2340,25 @@ int gpu_rhs_ss(RHS_SS_PARA)
computeRicci_ss(sst,Mh_ gxy,Mh_ Rxy,aas, meta);
computeRicci_ss(sst,Mh_ gxz,Mh_ Rxz,asa, meta);
computeRicci_ss(sst,Mh_ gyz,Mh_ Ryz,saa, meta);
cudaDeviceSynchronize();
cudaThreadSynchronize();
compute_rhs_ss_part4<<<GRID_DIM,BLOCK_DIM>>>();
cudaDeviceSynchronize();
cudaThreadSynchronize();
sub_fdderivs_shc(sst,Mh_ chi,Mh_ fh,Mh_ fxx,Mh_ fxy,Mh_ fxz,Mh_ fyy,Mh_ fyz,Mh_ fzz,sss);
//cudaDeviceSynchronize();
//cudaThreadSynchronize();
//compare_result_gpu(0,Mh_ chi,h_3D_SIZE[0]);
//compare_result_gpu(1,Mh_ chi,h_3D_SIZE[0]);
//compare_result_gpu(2,Mh_ fyz,h_3D_SIZE[0]);
compute_rhs_ss_part5<<<GRID_DIM,BLOCK_DIM>>>();
cudaDeviceSynchronize();
cudaThreadSynchronize();
sub_fdderivs_shc(sst,Mh_ Lap,Mh_ fh,Mh_ fxx,Mh_ fxy,Mh_ fxz,Mh_ fyy,Mh_ fyz,Mh_ fzz,sss);
compute_rhs_ss_part6<<<GRID_DIM,BLOCK_DIM>>>();
cudaDeviceSynchronize();
cudaThreadSynchronize();
#if (GAUGE == 2 || GAUGE == 3 || GAUGE == 4 || GAUGE == 5)
sub_fderivs_shc(sst,Mh_ chi,Mh_ fh, Mh_ dtSfx_rhs, Mh_ dtSfy_rhs, Mh_ dtSfz_rhs,sss);
@@ -2425,7 +2423,7 @@ int gpu_rhs_ss(RHS_SS_PARA)
}
if(co == 0){
compute_rhs_ss_part7<<<GRID_DIM,BLOCK_DIM>>>();
cudaDeviceSynchronize();
cudaThreadSynchronize();
sub_fderivs_shc(sst,Mh_ Axx,Mh_ fh,Mh_ gxxx,Mh_ gxxy,Mh_ gxxz,sss);
sub_fderivs_shc(sst,Mh_ Axy,Mh_ fh,Mh_ gxyx,Mh_ gxyy,Mh_ gxyz,aas);
@@ -2434,7 +2432,7 @@ int gpu_rhs_ss(RHS_SS_PARA)
sub_fderivs_shc(sst,Mh_ Ayz,Mh_ fh,Mh_ gyzx,Mh_ gyzy,Mh_ gyzz,saa);
sub_fderivs_shc(sst,Mh_ Azz,Mh_ fh,Mh_ gzzx,Mh_ gzzy,Mh_ gzzz,sss);
compute_rhs_ss_part8<<<GRID_DIM,BLOCK_DIM>>>();
cudaDeviceSynchronize();
cudaThreadSynchronize();
}
#if (ABV == 1)
@@ -2514,7 +2512,7 @@ int gpu_rhs_ss(RHS_SS_PARA)
//test kodis
//sub_kodis_sh(sst,Msh_ drhodx,Mh_ fh2,Msh_ drhody,sss);
#ifdef TIMING
cudaDeviceSynchronize();
cudaThreadSynchronize();
gettimeofday(&tv2, NULL);
cout<<"MPI rank is: "<<mpi_rank<<" GPU TIME is"<<TimeBetween(tv1, tv2)<<" (s)."<<endl;
#endif
@@ -2524,55 +2522,4 @@ int gpu_rhs_ss(RHS_SS_PARA)
return 0;//TODO return
}
#if (ABEtype == 2)
// Z4C Shell GPU: calls BSSN gpu_rhs_ss with trKd=trK+2*TZ, then applies
// TZ_rhs = alpn1*Hcon/2 and constraint damping on CPU.
int gpu_rhs_z4c_ss(Z4C_SS_PARA)
{
int matrix_size = ex[0] * ex[1] * ex[2];
double k1 = 0.02, k2 = 0.0;
double *trKd_host = new double[matrix_size];
for (int _i = 0; _i < matrix_size; _i++)
trKd_host[_i] = trK[_i] + 2.0 * TZ[_i];
int result = gpu_rhs_ss(calledby, mpi_rank,
ex, T, crho, sigma, R, X, Y, Z,
drhodx, drhody, drhodz, dsigmadx, dsigmady, dsigmadz,
dRdx, dRdy, dRdz,
drhodxx, drhodxy, drhodxz, drhodyy, drhodyz, drhodzz,
dsigmadxx, dsigmadxy, dsigmadxz, dsigmadyy, dsigmadyz, dsigmadzz,
dRdxx, dRdxy, dRdxz, dRdyy, dRdyz, dRdzz,
chi, trKd_host, dxx, gxy, gxz, dyy, gyz, dzz,
Axx, Axy, Axz, Ayy, Ayz, Azz,
Gamx, Gamy, Gamz,
Lap, betax, betay, betaz,
dtSfx, dtSfy, dtSfz,
chi_rhs, trK_rhs,
gxx_rhs, gxy_rhs, gxz_rhs, gyy_rhs, gyz_rhs, gzz_rhs,
Axx_rhs, Axy_rhs, Axz_rhs, Ayy_rhs, Ayz_rhs, Azz_rhs,
Gamx_rhs, Gamy_rhs, Gamz_rhs,
Lap_rhs, betax_rhs, betay_rhs, betaz_rhs,
dtSfx_rhs, dtSfy_rhs, dtSfz_rhs,
rho, Sx, Sy, Sz, Sxx, Sxy, Sxz, Syy, Syz, Szz,
Gamxxx, Gamxxy, Gamxxz, Gamxyy, Gamxyz, Gamxzz,
Gamyxx, Gamyxy, Gamyxz, Gamyyy, Gamyyz, Gamyzz,
Gamzxx, Gamzxy, Gamzxz, Gamzyy, Gamzyz, Gamzzz,
Rxx, Rxy, Rxz, Ryy, Ryz, Rzz,
ham_Res, movx_Res, movy_Res, movz_Res,
Gmx_Res, Gmy_Res, Gmz_Res,
Symmetry, Lev, eps, sst, co);
delete[] trKd_host;
if (result != 0) return result;
for (int _i = 0; _i < matrix_size; _i++) {
double alp = Lap[_i] + 1.0;
TZ_rhs[_i] = alp * ham_Res[_i] * 0.5;
TZ_rhs[_i] -= alp * (2.0 + k2) * k1 * TZ[_i];
trK_rhs[_i] += alp * k1 * (1.0 - k2) * TZ[_i];
}
return 0;
}
#endif // ABEtype == 2
#endif //WithShell

View File

@@ -65,9 +65,10 @@ if(TIME_COUNT_EACH_RANK == 1){\
}\
}
//3---------------------GPU---------------------
#define CALLED_BY_STEP 0
#define CALLED_BY_CONSTRAINT 1
//3---------------------GPU---------------------
#define CALLED_BY_STEP 0
#define CALLED_BY_CONSTRAINT 1
#define CALLED_BY_CONSTRAINT_CONS_ONLY 2
#define RHS_PARA_CALLED_FIRST_TIME cg->shape,TRK4,cg->X[0],cg->X[1],cg->X[2],cg->fgfs[phi0->sgfn],cg->fgfs[trK0->sgfn],cg->fgfs[gxx0->sgfn],cg->fgfs[gxy0->sgfn],cg->fgfs[gxz0->sgfn],cg->fgfs[gyy0->sgfn],cg->fgfs[gyz0->sgfn],cg->fgfs[gzz0->sgfn],cg->fgfs[Axx0->sgfn],cg->fgfs[Axy0->sgfn],cg->fgfs[Axz0->sgfn],cg->fgfs[Ayy0->sgfn],cg->fgfs[Ayz0->sgfn],cg->fgfs[Azz0->sgfn],cg->fgfs[Gmx0->sgfn],cg->fgfs[Gmy0->sgfn],cg->fgfs[Gmz0->sgfn],cg->fgfs[Lap0->sgfn],cg->fgfs[Sfx0->sgfn],cg->fgfs[Sfy0->sgfn],cg->fgfs[Sfz0->sgfn],cg->fgfs[dtSfx0->sgfn],cg->fgfs[dtSfy0->sgfn],cg->fgfs[dtSfz0->sgfn],cg->fgfs[phi_rhs->sgfn],cg->fgfs[trK_rhs->sgfn],cg->fgfs[gxx_rhs->sgfn],cg->fgfs[gxy_rhs->sgfn],cg->fgfs[gxz_rhs->sgfn],cg->fgfs[gyy_rhs->sgfn],cg->fgfs[gyz_rhs->sgfn],cg->fgfs[gzz_rhs->sgfn],cg->fgfs[Axx_rhs->sgfn],cg->fgfs[Axy_rhs->sgfn],cg->fgfs[Axz_rhs->sgfn],cg->fgfs[Ayy_rhs->sgfn],cg->fgfs[Ayz_rhs->sgfn],cg->fgfs[Azz_rhs->sgfn],cg->fgfs[Gmx_rhs->sgfn],cg->fgfs[Gmy_rhs->sgfn],cg->fgfs[Gmz_rhs->sgfn],cg->fgfs[Lap_rhs->sgfn],cg->fgfs[Sfx_rhs->sgfn],cg->fgfs[Sfy_rhs->sgfn],cg->fgfs[Sfz_rhs->sgfn],cg->fgfs[dtSfx_rhs->sgfn],cg->fgfs[dtSfy_rhs->sgfn],cg->fgfs[dtSfz_rhs->sgfn],cg->fgfs[rho->sgfn],cg->fgfs[Sx->sgfn],cg->fgfs[Sy->sgfn],cg->fgfs[Sz->sgfn],cg->fgfs[Sxx->sgfn],cg->fgfs[Sxy->sgfn],cg->fgfs[Sxz->sgfn],cg->fgfs[Syy->sgfn],cg->fgfs[Syz->sgfn],cg->fgfs[Szz->sgfn],cg->fgfs[Gamxxx->sgfn],cg->fgfs[Gamxxy->sgfn],cg->fgfs[Gamxxz->sgfn],cg->fgfs[Gamxyy->sgfn],cg->fgfs[Gamxyz->sgfn],cg->fgfs[Gamxzz->sgfn],cg->fgfs[Gamyxx->sgfn],cg->fgfs[Gamyxy->sgfn],cg->fgfs[Gamyxz->sgfn],cg->fgfs[Gamyyy->sgfn],cg->fgfs[Gamyyz->sgfn],cg->fgfs[Gamyzz->sgfn],cg->fgfs[Gamzxx->sgfn],cg->fgfs[Gamzxy->sgfn],cg->fgfs[Gamzxz->sgfn],cg->fgfs[Gamzyy->sgfn],cg->fgfs[Gamzyz->sgfn],cg->fgfs[Gamzzz->sgfn],cg->fgfs[Rxx->sgfn],cg->fgfs[Rxy->sgfn],cg->fgfs[Rxz->sgfn],cg->fgfs[Ryy->sgfn],cg->fgfs[Ryz->sgfn],cg->fgfs[Rzz->sgfn],cg->fgfs[Cons_Ham->sgfn],cg->fgfs[Cons_Px->sgfn],cg->fgfs[Cons_Py->sgfn],cg->fgfs[Cons_Pz->sgfn],cg->fgfs[Cons_Gx->sgfn],cg->fgfs[Cons_Gy->sgfn],cg->fgfs[Cons_Gz->sgfn],Symmetry,lev,ndeps,pre

View File

@@ -22,32 +22,19 @@
#define f_compute_rhs_Z4c_ss COMPUTE_RHS_Z4C_SS
#define f_compute_constraint_fr COMPUTE_CONSTRAINT_FR
#endif
#ifdef fortran3
#define f_compute_rhs_bssn compute_rhs_bssn_
#ifdef fortran3
#define f_compute_rhs_bssn compute_rhs_bssn_
#define f_compute_rhs_bssn_ss compute_rhs_bssn_ss_
#define f_compute_rhs_bssn_escalar compute_rhs_bssn_escalar_
#define f_compute_rhs_bssn_escalar_ss compute_rhs_bssn_escalar_ss_
#define f_compute_rhs_Z4c compute_rhs_z4c_
#define f_compute_rhs_Z4cnot compute_rhs_z4cnot_
#define f_compute_rhs_Z4c_ss compute_rhs_z4c_ss_
#define f_compute_constraint_fr compute_constraint_fr_
#endif
#ifdef __cplusplus
extern "C"
{
#endif
void f_bssn_rhs_kernel_timing_reset();
int f_bssn_rhs_kernel_timing_bucket_count();
const double *f_bssn_rhs_kernel_timing_local_seconds();
const char *f_bssn_rhs_kernel_timing_label(int);
#ifdef __cplusplus
}
#endif
extern "C"
{
int f_compute_rhs_bssn(int *, double &, double *, double *, double *, // ex,T,X,Y,Z
#define f_compute_constraint_fr compute_constraint_fr_
#endif
extern "C"
{
int f_compute_rhs_bssn(int *, double &, double *, double *, double *, // ex,T,X,Y,Z
double *, double *, // chi, trK
double *, double *, double *, double *, double *, double *, // gij
double *, double *, double *, double *, double *, double *, // Aij

View File

@@ -2,88 +2,12 @@
#include "bssn_rhs.h"
#include "share_func.h"
#include "tool.h"
#include <time.h>
// 0-based i,j,k
// #define IDX_F(i,j,k,nx,ny) ((i) + (j)*(nx) + (k)*(nx)*(ny))
// ex(1)=nx, ex(2)=ny, ex(3)=nz
// 用法a[ IDX_F(i,j,k,nx,ny) ]
#ifndef BSSN_KERNEL_FINE_TIMING
#define BSSN_KERNEL_FINE_TIMING 0
#endif
#if BSSN_KERNEL_FINE_TIMING
namespace rhs_kernel_timing
{
enum Bucket
{
KB_SETUP_DERIVS = 0,
KB_GEOM_GAMMA,
KB_RICCI_METRIC,
KB_CHI_LAPSE,
KB_AIJ_TRK_GAUGE,
KB_KO_CONSTRAINT,
KB_COUNT
};
static double local_bucket_seconds[KB_COUNT];
static const char *bucket_labels[KB_COUNT] =
{
"setup_derivs",
"geom_gamma",
"ricci_metric",
"chi_lapse",
"aij_trk_gauge",
"ko_constraint"
};
static inline double now_seconds()
{
struct timespec ts;
clock_gettime(CLOCK_MONOTONIC, &ts);
return double(ts.tv_sec) + 1.0e-9 * double(ts.tv_nsec);
}
}
extern "C" void f_bssn_rhs_kernel_timing_reset()
{
for (int i = 0; i < rhs_kernel_timing::KB_COUNT; ++i)
rhs_kernel_timing::local_bucket_seconds[i] = 0.0;
}
extern "C" int f_bssn_rhs_kernel_timing_bucket_count()
{
return rhs_kernel_timing::KB_COUNT;
}
extern "C" const double *f_bssn_rhs_kernel_timing_local_seconds()
{
return rhs_kernel_timing::local_bucket_seconds;
}
extern "C" const char *f_bssn_rhs_kernel_timing_label(int bucket_index)
{
if (bucket_index < 0 || bucket_index >= rhs_kernel_timing::KB_COUNT)
return "unknown";
return rhs_kernel_timing::bucket_labels[bucket_index];
}
#define RHS_KERNEL_TIMER_DECL(var_name) const double var_name = rhs_kernel_timing::now_seconds()
#define RHS_KERNEL_TIMER_ADD(bucket_name, var_name) \
rhs_kernel_timing::local_bucket_seconds[int(rhs_kernel_timing::bucket_name)] += \
rhs_kernel_timing::now_seconds() - (var_name)
#else
extern "C" void f_bssn_rhs_kernel_timing_reset() {}
extern "C" int f_bssn_rhs_kernel_timing_bucket_count() { return 0; }
extern "C" const double *f_bssn_rhs_kernel_timing_local_seconds() { return 0; }
extern "C" const char *f_bssn_rhs_kernel_timing_label(int) { return "disabled"; }
#define RHS_KERNEL_TIMER_DECL(var_name)
#define RHS_KERNEL_TIMER_ADD(bucket_name, var_name)
#endif
// C function that calculates the right-hand side for BSSN equations
int f_compute_rhs_bssn(int *ex, double &T,
double *X, double *Y, double *Z,
@@ -178,7 +102,6 @@ int f_compute_rhs_bssn(int *ex, double &T,
dY = Y[1] - Y[0];
dZ = Z[1] - Z[0];
RHS_KERNEL_TIMER_DECL(timer_setup_derivs);
// 1ms //
for(int i=0;i<all;i+=1){
alpn1[i] = Lap[i] + 1.0;
@@ -218,8 +141,6 @@ int f_compute_rhs_bssn(int *ex, double &T,
(dxx[i] + ONE) * betaxz[i] + gxy[i] * betayz[i] + gyz[i] * betayx[i]
+ (dzz[i] + ONE) * betazx[i] - gxz[i] * betayy[i];
}
RHS_KERNEL_TIMER_ADD(KB_SETUP_DERIVS, timer_setup_derivs);
RHS_KERNEL_TIMER_DECL(timer_geom_gamma);
// Fused: inverse metric + Gamma constraint + Christoffel (3 loops -> 1)
for(int i=0;i<all;i+=1){
double det = (dxx[i] + ONE) * (dyy[i] + ONE) * (dzz[i] + ONE) + gxy[i] * gyz[i] * gxz[i] + gxz[i] * gxy[i] * gyz[i] -
@@ -362,6 +283,9 @@ int f_compute_rhs_bssn(int *ex, double &T,
+ ( gupxy[i]*gupyz[i] + gupyy[i]*gupxz[i] ) * Axy[i]
+ ( gupxy[i]*gupzz[i] + gupyz[i]*gupxz[i] ) * Axz[i]
+ ( gupyy[i]*gupzz[i] + gupyz[i]*gupyz[i] ) * Ayz[i];
Rxx[i] = axx; Ryy[i] = ayy; Rzz[i] = azz;
Rxy[i] = axy; Rxz[i] = axz; Ryz[i] = ayz;
Gamx_rhs[i] = - TWO * ( Lapx[i]*axx + Lapy[i]*axy + Lapz[i]*axz ) +
TWO * alpn1[i] * (
-F3o2/chin1[i] * ( chix[i]*axx + chiy[i]*axy + chiz[i]*axz ) -
@@ -391,8 +315,6 @@ int f_compute_rhs_bssn(int *ex, double &T,
+ TWO * ( Gamzxy[i]*axy + Gamzxz[i]*axz + Gamzyz[i]*ayz )
);
}
RHS_KERNEL_TIMER_ADD(KB_GEOM_GAMMA, timer_geom_gamma);
RHS_KERNEL_TIMER_DECL(timer_ricci_metric);
// 22.3ms //
fdderivs(ex,betax,gxxx,gxyx,gxzx,gyyx,gyzx,gzzx,
X,Y,Z,ANTI,SYM, SYM ,Symmetry,Lev);
@@ -410,6 +332,7 @@ int f_compute_rhs_bssn(int *ex, double &T,
double lfxx = gxxx[i] + gxyy[i] + gxzz[i];
double lfxy = gxyx[i] + gyyy[i] + gyzz[i];
double lfxz = gxzx[i] + gyzy[i] + gzzz[i];
fxx[i] = lfxx; fxy[i] = lfxy; fxz[i] = lfxz;
double gxa = gupxx[i]*Gamxxx[i] + gupyy[i]*Gamxyy[i] + gupzz[i]*Gamxzz[i]
+ TWO * ( gupxy[i]*Gamxxy[i] + gupxz[i]*Gamxxz[i] + gupyz[i]*Gamxyz[i] );
@@ -763,74 +686,69 @@ int f_compute_rhs_bssn(int *ex, double &T,
+ Gamxyz[i] * gzzx[i] + Gamyyz[i] * gzzy[i] + Gamzyz[i] * gzzz[i]
);
}
RHS_KERNEL_TIMER_ADD(KB_RICCI_METRIC, timer_ricci_metric);
RHS_KERNEL_TIMER_DECL(timer_chi_lapse);
// 22.3ms //
fdderivs(ex,chi,fxx,fxy,fxz,fyy,fyz,fzz,X,Y,Z,SYM,SYM,SYM,Symmetry,Lev);
// 7ms //
for (int i=0;i<all;i+=1) {
const double inv_chin1 = ONE / chin1[i];
const double half_inv_chin1 = HALF * inv_chin1;
const double scaled_inv = F3o2 * inv_chin1;
const double cxx = fxx[i] - Gamxxx[i] * chix[i] - Gamyxx[i] * chiy[i] - Gamzxx[i] * chiz[i];
const double cxy = fxy[i] - Gamxxy[i] * chix[i] - Gamyxy[i] * chiy[i] - Gamzxy[i] * chiz[i];
const double cxz = fxz[i] - Gamxxz[i] * chix[i] - Gamyxz[i] * chiy[i] - Gamzxz[i] * chiz[i];
const double cyy = fyy[i] - Gamxyy[i] * chix[i] - Gamyyy[i] * chiy[i] - Gamzyy[i] * chiz[i];
const double cyz = fyz[i] - Gamxyz[i] * chix[i] - Gamyyz[i] * chiy[i] - Gamzyz[i] * chiz[i];
const double czz = fzz[i] - Gamxzz[i] * chix[i] - Gamyzz[i] * chiy[i] - Gamzzz[i] * chiz[i];
const double ricci_chi =
gupxx[i] * (cxx - scaled_inv * chix[i] * chix[i])
+ gupyy[i] * (cyy - scaled_inv * chiy[i] * chiy[i])
+ gupzz[i] * (czz - scaled_inv * chiz[i] * chiz[i])
+ TWO * gupxy[i] * (cxy - scaled_inv * chix[i] * chiy[i])
+ TWO * gupxz[i] * (cxz - scaled_inv * chix[i] * chiz[i])
+ TWO * gupyz[i] * (cyz - scaled_inv * chiy[i] * chiz[i]);
f[i] = ricci_chi;
Rxx[i] = Rxx[i] + ( cxx - half_inv_chin1 * chix[i] * chix[i] + (dxx[i] + ONE) * ricci_chi ) * half_inv_chin1;
Ryy[i] = Ryy[i] + ( cyy - half_inv_chin1 * chiy[i] * chiy[i] + (dyy[i] + ONE) * ricci_chi ) * half_inv_chin1;
Rzz[i] = Rzz[i] + ( czz - half_inv_chin1 * chiz[i] * chiz[i] + (dzz[i] + ONE) * ricci_chi ) * half_inv_chin1;
fxx[i] = fxx[i] - Gamxxx[i] * chix[i] - Gamyxx[i] * chiy[i] - Gamzxx[i] * chiz[i];
fxy[i] = fxy[i] - Gamxxy[i] * chix[i] - Gamyxy[i] * chiy[i] - Gamzxy[i] * chiz[i];
fxz[i] = fxz[i] - Gamxxz[i] * chix[i] - Gamyxz[i] * chiy[i] - Gamzxz[i] * chiz[i];
fyy[i] = fyy[i] - Gamxyy[i] * chix[i] - Gamyyy[i] * chiy[i] - Gamzyy[i] * chiz[i];
fyz[i] = fyz[i] - Gamxyz[i] * chix[i] - Gamyyz[i] * chiy[i] - Gamzyz[i] * chiz[i];
fzz[i] = fzz[i] - Gamxzz[i] * chix[i] - Gamyzz[i] * chiy[i] - Gamzzz[i] * chiz[i];
f[i] =
gupxx[i] * (fxx[i] - (F3o2 / chin1[i]) * chix[i] * chix[i])
+ gupyy[i] * (fyy[i] - (F3o2 / chin1[i]) * chiy[i] * chiy[i])
+ gupzz[i] * (fzz[i] - (F3o2 / chin1[i]) * chiz[i] * chiz[i])
+ TWO * gupxy[i] * (fxy[i] - (F3o2 / chin1[i]) * chix[i] * chiy[i])
+ TWO * gupxz[i] * (fxz[i] - (F3o2 / chin1[i]) * chix[i] * chiz[i])
+ TWO * gupyz[i] * (fyz[i] - (F3o2 / chin1[i]) * chiy[i] * chiz[i]);
Rxx[i] = Rxx[i] + ( fxx[i] - (chix[i] * chix[i]) / (chin1[i] * TWO) + (dxx[i] + ONE) * f[i] ) / (chin1[i] * TWO);
Ryy[i] = Ryy[i] + ( fyy[i] - (chiy[i] * chiy[i]) / (chin1[i] * TWO) + (dyy[i] + ONE) * f[i] ) / (chin1[i] * TWO);
Rzz[i] = Rzz[i] + ( fzz[i] - (chiz[i] * chiz[i]) / (chin1[i] * TWO) + (dzz[i] + ONE) * f[i] ) / (chin1[i] * TWO);
Rxy[i] = Rxy[i] + ( cxy - half_inv_chin1 * chix[i] * chiy[i] + gxy[i] * ricci_chi ) * half_inv_chin1;
Rxz[i] = Rxz[i] + ( cxz - half_inv_chin1 * chix[i] * chiz[i] + gxz[i] * ricci_chi ) * half_inv_chin1;
Ryz[i] = Ryz[i] + ( cyz - half_inv_chin1 * chiy[i] * chiz[i] + gyz[i] * ricci_chi ) * half_inv_chin1;
Rxy[i] = Rxy[i] + ( fxy[i] - (chix[i] * chiy[i]) / (chin1[i] * TWO) + gxy[i] * f[i] ) / (chin1[i] * TWO);
Rxz[i] = Rxz[i] + ( fxz[i] - (chix[i] * chiz[i]) / (chin1[i] * TWO) + gxz[i] * f[i] ) / (chin1[i] * TWO);
Ryz[i] = Ryz[i] + ( fyz[i] - (chiy[i] * chiz[i]) / (chin1[i] * TWO) + gyz[i] * f[i] ) / (chin1[i] * TWO);
}
// 24ms //
fdderivs(ex,Lap,fxx,fxy,fxz,fyy,fyz,fzz,X,Y,Z,SYM,SYM,SYM,Symmetry,Lev);
fderivs(ex,chi,dtSfx_rhs,dtSfy_rhs,dtSfz_rhs,X,Y,Z,SYM,SYM,SYM,Symmetry,Lev);
// 6ms //
for (int i=0;i<all;i+=1) {
const double inv_chin1 = ONE / chin1[i];
const double gchi_x = (gupxx[i] * chix[i] + gupxy[i] * chiy[i] + gupxz[i] * chiz[i]) * inv_chin1;
const double gchi_y = (gupxy[i] * chix[i] + gupyy[i] * chiy[i] + gupyz[i] * chiz[i]) * inv_chin1;
const double gchi_z = (gupxz[i] * chix[i] + gupyz[i] * chiy[i] + gupzz[i] * chiz[i]) * inv_chin1;
/* gxxx,gxxy,gxxz (这里是“升指标后的chi导数/chi”那类量你沿用原变量名即可) */
gxxx[i] = (gupxx[i] * chix[i] + gupxy[i] * chiy[i] + gupxz[i] * chiz[i]) / chin1[i];
gxxy[i] = (gupxy[i] * chix[i] + gupyy[i] * chiy[i] + gupyz[i] * chiz[i]) / chin1[i];
gxxz[i] = (gupxz[i] * chix[i] + gupyz[i] * chiy[i] + gupzz[i] * chiz[i]) / chin1[i];
/* Christoffel 修正项 */
Gamxxx[i] = Gamxxx[i] - ( ((chix[i] + chix[i]) * inv_chin1) - (dxx[i] + ONE) * gchi_x ) * HALF;
Gamyxx[i] = Gamyxx[i] - ( 0.0 - (dxx[i] + ONE) * gchi_y ) * HALF; /* 原式只有 -gxx*gxxy */
Gamzxx[i] = Gamzxx[i] - ( 0.0 - (dxx[i] + ONE) * gchi_z ) * HALF;
Gamxxx[i] = Gamxxx[i] - ( ((chix[i] + chix[i]) / chin1[i]) - (dxx[i] + ONE) * gxxx[i] ) * HALF;
Gamyxx[i] = Gamyxx[i] - ( 0.0 - (dxx[i] + ONE) * gxxy[i] ) * HALF; /* 原式只有 -gxx*gxxy */
Gamzxx[i] = Gamzxx[i] - ( 0.0 - (dxx[i] + ONE) * gxxz[i] ) * HALF;
Gamxyy[i] = Gamxyy[i] - ( 0.0 - (dyy[i] + ONE) * gchi_x ) * HALF;
Gamyyy[i] = Gamyyy[i] - ( ((chiy[i] + chiy[i]) * inv_chin1) - (dyy[i] + ONE) * gchi_y ) * HALF;
Gamzyy[i] = Gamzyy[i] - ( 0.0 - (dyy[i] + ONE) * gchi_z ) * HALF;
Gamxyy[i] = Gamxyy[i] - ( 0.0 - (dyy[i] + ONE) * gxxx[i] ) * HALF;
Gamyyy[i] = Gamyyy[i] - ( ((chiy[i] + chiy[i]) / chin1[i]) - (dyy[i] + ONE) * gxxy[i] ) * HALF;
Gamzyy[i] = Gamzyy[i] - ( 0.0 - (dyy[i] + ONE) * gxxz[i] ) * HALF;
Gamxzz[i] = Gamxzz[i] - ( 0.0 - (dzz[i] + ONE) * gchi_x ) * HALF;
Gamyzz[i] = Gamyzz[i] - ( 0.0 - (dzz[i] + ONE) * gchi_y ) * HALF;
Gamzzz[i] = Gamzzz[i] - ( ((chiz[i] + chiz[i]) * inv_chin1) - (dzz[i] + ONE) * gchi_z ) * HALF;
Gamxzz[i] = Gamxzz[i] - ( 0.0 - (dzz[i] + ONE) * gxxx[i] ) * HALF;
Gamyzz[i] = Gamyzz[i] - ( 0.0 - (dzz[i] + ONE) * gxxy[i] ) * HALF;
Gamzzz[i] = Gamzzz[i] - ( ((chiz[i] + chiz[i]) / chin1[i]) - (dzz[i] + ONE) * gxxz[i] ) * HALF;
Gamxxy[i] = Gamxxy[i] - ( ( chiy[i] * inv_chin1) - gxy[i] * gchi_x ) * HALF;
Gamyxy[i] = Gamyxy[i] - ( ( chix[i] * inv_chin1) - gxy[i] * gchi_y ) * HALF;
Gamzxy[i] = Gamzxy[i] - ( 0.0 - gxy[i] * gchi_z ) * HALF;
Gamxxy[i] = Gamxxy[i] - ( ( chiy[i] / chin1[i]) - gxy[i] * gxxx[i] ) * HALF;
Gamyxy[i] = Gamyxy[i] - ( ( chix[i] / chin1[i]) - gxy[i] * gxxy[i] ) * HALF;
Gamzxy[i] = Gamzxy[i] - ( 0.0 - gxy[i] * gxxz[i] ) * HALF;
Gamxxz[i] = Gamxxz[i] - ( ( chiz[i] * inv_chin1) - gxz[i] * gchi_x ) * HALF;
Gamyxz[i] = Gamyxz[i] - ( 0.0 - gxz[i] * gchi_y ) * HALF;
Gamzxz[i] = Gamzxz[i] - ( ( chix[i] * inv_chin1) - gxz[i] * gchi_z ) * HALF;
Gamxxz[i] = Gamxxz[i] - ( ( chiz[i] / chin1[i]) - gxz[i] * gxxx[i] ) * HALF;
Gamyxz[i] = Gamyxz[i] - ( 0.0 - gxz[i] * gxxy[i] ) * HALF;
Gamzxz[i] = Gamzxz[i] - ( ( chix[i] / chin1[i]) - gxz[i] * gxxz[i] ) * HALF;
Gamxyz[i] = Gamxyz[i] - ( 0.0 - gyz[i] * gchi_x ) * HALF;
Gamyyz[i] = Gamyyz[i] - ( ( chiz[i] * inv_chin1) - gyz[i] * gchi_y ) * HALF;
Gamzyz[i] = Gamzyz[i] - ( ( chiy[i] * inv_chin1) - gyz[i] * gchi_z ) * HALF;
Gamxyz[i] = Gamxyz[i] - ( 0.0 - gyz[i] * gxxx[i] ) * HALF;
Gamyyz[i] = Gamyyz[i] - ( ( chiz[i] / chin1[i]) - gyz[i] * gxxy[i] ) * HALF;
Gamzyz[i] = Gamzyz[i] - ( ( chiy[i] / chin1[i]) - gyz[i] * gxxz[i] ) * HALF;
/* fxx..fyz 修正:减去 Γ * ∂Lap */
fxx[i] = fxx[i] - Gamxxx[i] * Lapx[i] - Gamyxx[i] * Lapy[i] - Gamzxx[i] * Lapz[i];
@@ -844,8 +762,6 @@ int f_compute_rhs_bssn(int *ex, double &T,
trK_rhs[i] = gupxx[i] * fxx[i] + gupyy[i] * fyy[i] + gupzz[i] * fzz[i]
+ TWO * ( gupxy[i] * fxy[i] + gupxz[i] * fxz[i] + gupyz[i] * fyz[i] );
}
RHS_KERNEL_TIMER_ADD(KB_CHI_LAPSE, timer_chi_lapse);
RHS_KERNEL_TIMER_DECL(timer_aij_trk_gauge);
// 2.5ms //
for (int i=0;i<all;i+=1) {
const double divb = betaxx[i] + betayy[i] + betazz[i];
@@ -1098,17 +1014,24 @@ int f_compute_rhs_bssn(int *ex, double &T,
betaz_rhs[i] = FF * dtSfz[i];
reta[i] =
gupxx[i] * chix[i] * chix[i]
+ gupyy[i] * chiy[i] * chiy[i]
+ gupzz[i] * chiz[i] * chiz[i]
+ TWO * ( gupxy[i] * chix[i] * chiy[i]
+ gupxz[i] * chix[i] * chiz[i]
+ gupyz[i] * chiy[i] * chiz[i] );
gupxx[i] * dtSfx_rhs[i] * dtSfx_rhs[i]
+ gupyy[i] * dtSfy_rhs[i] * dtSfy_rhs[i]
+ gupzz[i] * dtSfz_rhs[i] * dtSfz_rhs[i]
+ TWO * ( gupxy[i] * dtSfx_rhs[i] * dtSfy_rhs[i]
+ gupxz[i] * dtSfx_rhs[i] * dtSfz_rhs[i]
+ gupyz[i] * dtSfy_rhs[i] * dtSfz_rhs[i] );
#if (GAUGE == 2)
reta[i] = 1.31 / 2.0 * sqrt( reta[i] / chin1[i] ) / pow( (ONE - sqrt(chin1[i])), 2.0 );
{
const double chi_sqrt = sqrt(chin1[i]);
const double damping = ONE - chi_sqrt;
reta[i] = 1.31 / 2.0 * sqrt( reta[i] / chin1[i] ) / (damping * damping);
}
#else
reta[i] = 1.31 / 2.0 * sqrt( reta[i] / chin1[i] ) / pow( (ONE - chin1[i]), 2.0 );
{
const double damping = ONE - chin1[i];
reta[i] = 1.31 / 2.0 * sqrt( reta[i] / chin1[i] ) / (damping * damping);
}
#endif
dtSfx_rhs[i] = Gamx_rhs[i] - reta[i] * dtSfx[i];
@@ -1116,17 +1039,24 @@ int f_compute_rhs_bssn(int *ex, double &T,
dtSfz_rhs[i] = Gamz_rhs[i] - reta[i] * dtSfz[i];
#elif (GAUGE == 4 || GAUGE == 5)
reta[i] =
gupxx[i] * chix[i] * chix[i]
+ gupyy[i] * chiy[i] * chiy[i]
+ gupzz[i] * chiz[i] * chiz[i]
+ TWO * ( gupxy[i] * chix[i] * chiy[i]
+ gupxz[i] * chix[i] * chiz[i]
+ gupyz[i] * chiy[i] * chiz[i] );
gupxx[i] * dtSfx_rhs[i] * dtSfx_rhs[i]
+ gupyy[i] * dtSfy_rhs[i] * dtSfy_rhs[i]
+ gupzz[i] * dtSfz_rhs[i] * dtSfz_rhs[i]
+ TWO * ( gupxy[i] * dtSfx_rhs[i] * dtSfy_rhs[i]
+ gupxz[i] * dtSfx_rhs[i] * dtSfz_rhs[i]
+ gupyz[i] * dtSfy_rhs[i] * dtSfz_rhs[i] );
#if (GAUGE == 4)
reta[i] = 1.31 / 2.0 * sqrt( reta[i] / chin1[i] ) / pow( (ONE - sqrt(chin1[i])), 2.0 );
{
const double chi_sqrt = sqrt(chin1[i]);
const double damping = ONE - chi_sqrt;
reta[i] = 1.31 / 2.0 * sqrt( reta[i] / chin1[i] ) / (damping * damping);
}
#else
reta[i] = 1.31 / 2.0 * sqrt( reta[i] / chin1[i] ) / pow( (ONE - chin1[i]), 2.0 );
{
const double damping = ONE - chin1[i];
reta[i] = 1.31 / 2.0 * sqrt( reta[i] / chin1[i] ) / (damping * damping);
}
#endif
betax_rhs[i] = FF * Gamx[i] - reta[i] * betax[i];
@@ -1146,8 +1076,6 @@ int f_compute_rhs_bssn(int *ex, double &T,
dtSfz_rhs[i] = Gamz_rhs[i] - reta[i] * dtSfz[i];
#endif
}
RHS_KERNEL_TIMER_ADD(KB_AIJ_TRK_GAUGE, timer_aij_trk_gauge);
RHS_KERNEL_TIMER_DECL(timer_ko_constraint);
// advection + KO dissipation with shared symmetry buffer
lopsided_kodis(ex,X,Y,Z,dxx,gxx_rhs,betax,betay,betaz,Symmetry,SSS,eps);
lopsided_kodis(ex,X,Y,Z,Gamz,Gamz_rhs,betax,betay,betaz,Symmetry,SSA,eps);
@@ -1279,7 +1207,6 @@ int f_compute_rhs_bssn(int *ex, double &T,
movz_Res[i] = movz_Res[i] - F2o3*Kz[i] - F8*PI*Sz[i];
}
}
RHS_KERNEL_TIMER_ADD(KB_KO_CONSTRAINT, timer_ko_constraint);

File diff suppressed because it is too large Load Diff

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@@ -1,413 +0,0 @@
#ifndef BSSN_RHS_CUDA_H
#define BSSN_RHS_CUDA_H
#ifdef __cplusplus
extern "C" {
#endif
enum {
BSSN_CUDA_STATE_COUNT = 24,
BSSN_ESCALAR_CUDA_STATE_COUNT = 26,
BSSN_EM_CUDA_STATE_COUNT = 32,
BSSN_EM_CUDA_SOURCE_COUNT = 4,
BSSN_CUDA_MATTER_COUNT = 10
};
int f_compute_rhs_bssn(int *ex, double &T,
double *X, double *Y, double *Z,
double *chi, double *trK,
double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz,
double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz,
double *Gamx, double *Gamy, double *Gamz,
double *Lap, double *betax, double *betay, double *betaz,
double *dtSfx, double *dtSfy, double *dtSfz,
double *chi_rhs, double *trK_rhs,
double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs,
double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs,
double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs,
double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs,
double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs,
double *rho, double *Sx, double *Sy, double *Sz,
double *Sxx, double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz,
double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz,
double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz,
double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz,
double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz,
double *ham_Res, double *movx_Res, double *movy_Res, double *movz_Res,
double *Gmx_Res, double *Gmy_Res, double *Gmz_Res,
int &Symmetry, int &Lev, double &eps, int &co);
int bssn_cuda_rk4_substep(void *block_tag,
int *ex, double *X, double *Y, double *Z,
double **state_host_in,
double **state_host_out,
double **matter_host,
const double *propspeed,
const double *soa_flat,
const double *bbox,
double &dT,
double &T,
int &RK4,
int &apply_bam_bc,
int &Symmetry,
int &Lev,
double &eps,
int &co,
int &use_zero_matter,
int &keep_resident_state,
int &apply_enforce_ga,
double &chitiny);
int bssn_escalar_cuda_rk4_substep(void *block_tag,
int *ex, double *X, double *Y, double *Z,
double **state_host_in,
double **state_host_out,
const double *propspeed,
const double *soa_flat,
const double *bbox,
double &dT,
double &T,
int &RK4,
int &apply_bam_bc,
int &Symmetry,
int &Lev,
double &eps,
int &co,
int &keep_resident_state,
int &apply_enforce_ga,
double &chitiny);
int bssn_escalar_cuda_compute_constraints(int *ex, double *X, double *Y, double *Z,
double **state_host_in,
double **constraint_host_out,
int &Symmetry,
int &Lev,
double &eps);
int bssn_em_cuda_rk4_substep(void *block_tag,
int *ex, double *X, double *Y, double *Z,
double **state_host_in,
double **state_host_out,
double **source_host,
const double *propspeed,
const double *soa_flat,
const double *bbox,
double &dT,
double &T,
int &RK4,
int &apply_bam_bc,
int &Symmetry,
int &Lev,
double &eps,
int &co,
int &keep_resident_state,
int &apply_enforce_ga,
double &chitiny);
int bssn_em_cuda_resident_zero_fast_state(void *block_tag);
int bssn_cuda_copy_state_region_to_host(void *block_tag,
int state_index,
double *host_state,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_copy_state_region_from_host(void *block_tag,
int state_index,
double *host_state,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_download_resident_state(void *block_tag,
int *ex,
double **state_host_out);
int bssn_escalar_cuda_download_resident_state(void *block_tag,
int *ex,
double **state_host_out);
int bssn_cuda_upload_resident_state_count(void *block_tag,
int *ex,
double **state_host_in,
int state_count);
int bssn_escalar_cuda_upload_resident_state(void *block_tag,
int *ex,
double **state_host_in);
int bssn_cuda_keep_only_resident_state_count(void *block_tag,
int *ex,
double **state_host_key,
int state_count);
int bssn_escalar_cuda_keep_only_resident_state(void *block_tag,
int *ex,
double **state_host_key);
int bssn_cuda_download_resident_state_count_if_present(void *block_tag,
int *ex,
double **state_host_out,
int state_count);
int bssn_cuda_download_resident_state_if_present(void *block_tag,
int *ex,
double **state_host_out);
int bssn_cuda_download_constraint_outputs(int *ex,
double **constraint_host_out);
int bssn_cuda_pack_state_region_to_host_buffer(void *block_tag,
int state_index,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_interp_state_point3(void *block_tag,
int *ex,
int state0,
int state1,
int state2,
double x0,
double y0,
double z0,
double dx,
double dy,
double dz,
double px,
double py,
double pz,
int ordn,
int symmetry,
double **state_host_key,
const double *soa3,
double *out3);
int bssn_cuda_interp_host_two_fields(void *block_tag,
int *ex,
double *field0,
double *field1,
double x0,
double y0,
double z0,
double dx,
double dy,
double dz,
const double *px,
const double *py,
const double *pz,
int npoints,
int ordn,
int symmetry,
const double *soa6,
double *out_interleaved);
int bssn_cuda_unpack_state_region_from_host_buffer(void *block_tag,
int state_index,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_unpack_state_region_from_host_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
int state_index,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_pack_state_batch_to_host_buffer(void *block_tag,
int state_count,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_pack_state_batch_to_host_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_unpack_state_batch_from_host_buffer(void *block_tag,
int state_count,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_unpack_state_batch_from_host_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_pack_state_batch_to_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_pack_state_batch_to_device_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *device_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_unpack_state_batch_from_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_unpack_state_batch_from_device_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *device_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_pack_state_segments_to_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int segment_count,
const int *segment_meta);
int bssn_cuda_pack_state_segments_to_device_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *device_buffer,
int *ex,
int segment_count,
const int *segment_meta);
int bssn_cuda_unpack_state_segments_from_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int segment_count,
const int *segment_meta);
int bssn_cuda_unpack_state_segments_from_device_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *device_buffer,
int *ex,
int segment_count,
const int *segment_meta);
int bssn_cuda_restrict_state_segments_to_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int segment_count,
const int *segment_meta);
int bssn_cuda_restrict_state_segments_to_device_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *device_buffer,
int *ex,
int segment_count,
const int *segment_meta,
const double *state_soa);
int bssn_cuda_prolong_state_segments_to_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int segment_count,
const int *segment_meta);
int bssn_cuda_prolong_state_segments_to_device_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *device_buffer,
int *ex,
int segment_count,
const int *segment_meta,
const double *state_soa);
int bssn_cuda_restrict_state_batch_to_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int sx, int sy, int sz,
int fi0, int fj0, int fk0);
int bssn_cuda_restrict_state_batch_to_device_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *device_buffer,
int *ex,
int sx, int sy, int sz,
int fi0, int fj0, int fk0,
const double *state_soa);
int bssn_cuda_prolong_state_batch_to_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int sx, int sy, int sz,
int ii0, int jj0, int kk0,
int lbc_i, int lbc_j, int lbc_k);
int bssn_cuda_prolong_state_batch_to_device_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *device_buffer,
int *ex,
int sx, int sy, int sz,
int ii0, int jj0, int kk0,
int lbc_i, int lbc_j, int lbc_k,
const double *state_soa);
int bssn_cuda_download_state_subset(void *block_tag,
int *ex,
int subset_count,
const int *state_indices,
double **state_host_out);
int bssn_cuda_upload_state_subset(void *block_tag,
int *ex,
int subset_count,
const int *state_indices,
double **state_host_in);
int bssn_cuda_prepare_inter_time_level(void *block_tag,
int *ex,
int state_count,
double **src1_host_key,
double **src2_host_key,
double **src3_host_key,
double **dst_host_key,
int source_count,
int tindex);
int bssn_cuda_has_resident_state(void *block_tag);
void bssn_cuda_release_step_ctx(void *block_tag);
#ifdef __cplusplus
}
// C++-only helpers declared for derived equation classes (Z4C, etc.)
// Defined in bssn_class.C. Requires MyList, Patch, var from including TU.
bool bssn_cuda_use_resident_sync(int lev);
void bssn_cuda_download_level_state_if_present(MyList<Patch> *PatL, MyList<var> *vars, int myrank);
#endif
#endif

File diff suppressed because it is too large Load Diff

View File

@@ -23,10 +23,14 @@ using namespace std;
#include <mpi.h>
#include "macrodef.h"
#include "misc.h"
#include "cgh.h"
#include "Parallel.h"
#include "parameters.h"
#include "misc.h"
#include "cgh.h"
#include "Parallel.h"
#include "parameters.h"
#ifdef USE_GPU
#include "bssn_gpu.h"
#include "bssn_cuda_ops.h"
#endif
//================================================================================================
@@ -881,13 +885,20 @@ void cgh::recompose_cgh(int nprocs, bool *lev_flag,
tmPat = construct_patchlist(lev, Symmetry);
// tmPat construction completes
Parallel::distribute(tmPat, nprocs, ingfs, fngfs, false);
// checkPatchList(tmPat,true);
bool CC = (lev > trfls);
Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC);
Parallel::KillBlocks(PatL[lev]);
PatL[lev]->destroyList();
PatL[lev] = tmPat;
// checkPatchList(tmPat,true);
bool CC = (lev > trfls);
Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC);
#ifdef USE_GPU
bssn_gpu_clear_cached_device_buffers();
bssn_gpu_release_pinned_host_buffers();
bssn_cuda_release_rk4_caches();
bssn_cuda_release_interp_caches();
patch_release_interp_plan_cache();
#endif
Parallel::KillBlocks(PatL[lev]);
PatL[lev]->destroyList();
PatL[lev] = tmPat;
#if (RPB == 1)
Parallel::destroypsuList_bam(bdsul[lev]);
Parallel::destroypsuList_bam(rsul[lev]);
@@ -910,13 +921,20 @@ void cgh::recompose_cgh(int nprocs, bool *lev_flag,
tmPat = construct_patchlist(lev, Symmetry);
// tmPat construction completes
Parallel::distribute(tmPat, end_rank[lev] - start_rank[lev] + 1, ingfs, fngfs, false, start_rank[lev], end_rank[lev]);
// checkPatchList(tmPat,true);
bool CC = (lev > trfls);
Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC);
Parallel::KillBlocks(PatL[lev]);
PatL[lev]->destroyList();
PatL[lev] = tmPat;
// checkPatchList(tmPat,true);
bool CC = (lev > trfls);
Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC);
#ifdef USE_GPU
bssn_gpu_clear_cached_device_buffers();
bssn_gpu_release_pinned_host_buffers();
bssn_cuda_release_rk4_caches();
bssn_cuda_release_interp_caches();
patch_release_interp_plan_cache();
#endif
Parallel::KillBlocks(PatL[lev]);
PatL[lev]->destroyList();
PatL[lev] = tmPat;
#if (RPB == 1)
#error "not support yet"
#endif
@@ -1518,13 +1536,20 @@ void cgh::recompose_cgh_Onelevel(int nprocs, int lev,
tmPat = construct_patchlist(lev, Symmetry);
// tmPat construction completes
Parallel::distribute(tmPat, nprocs, ingfs, fngfs, false);
// checkPatchList(tmPat,true);
bool CC = (lev > trfls);
Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC);
Parallel::KillBlocks(PatL[lev]);
PatL[lev]->destroyList();
PatL[lev] = tmPat;
// checkPatchList(tmPat,true);
bool CC = (lev > trfls);
Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC);
#ifdef USE_GPU
bssn_gpu_clear_cached_device_buffers();
bssn_gpu_release_pinned_host_buffers();
bssn_cuda_release_rk4_caches();
bssn_cuda_release_interp_caches();
patch_release_interp_plan_cache();
#endif
Parallel::KillBlocks(PatL[lev]);
PatL[lev]->destroyList();
PatL[lev] = tmPat;
}
#elif (PSTR == 1 || PSTR == 2 || PSTR == 3)
#warning "recompose_cgh_Onelevel is not implimented yet"
@@ -1540,14 +1565,21 @@ void cgh::recompose_cgh_Onelevel(int nprocs, int lev,
// tmPat construction completes
Parallel::distribute(tmPat, end_rank[lev] - start_rank[lev] + 1, ingfs, fngfs, false, start_rank[lev], end_rank[lev]);
misc::tillherecheck(Commlev[lev], start_rank[lev], "after distribute");
// checkPatchList(tmPat,true);
bool CC = (lev > trfls);
Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC);
misc::tillherecheck(Commlev[lev], start_rank[lev], "after fill_level_data");
Parallel::KillBlocks(PatL[lev]);
PatL[lev]->destroyList();
PatL[lev] = tmPat;
// checkPatchList(tmPat,true);
bool CC = (lev > trfls);
Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC);
misc::tillherecheck(Commlev[lev], start_rank[lev], "after fill_level_data");
#ifdef USE_GPU
bssn_gpu_clear_cached_device_buffers();
bssn_gpu_release_pinned_host_buffers();
bssn_cuda_release_rk4_caches();
bssn_cuda_release_interp_caches();
patch_release_interp_plan_cache();
#endif
Parallel::KillBlocks(PatL[lev]);
PatL[lev]->destroyList();
PatL[lev] = tmPat;
}

View File

@@ -76,11 +76,8 @@ checkpoint::checkpoint(bool checked, const char fname[], int myrank) : filename(
I_Print = (myrank == 0);
size_t filename_len = out_dir.size() + strlen(fname) + 32;
#ifdef CHECKDETAIL
filename_len += 32;
#endif
filename = new char[filename_len];
int i = strlen(fname);
filename = new char[i+30];
// cout << filename << endl;
// cout << i << endl;
@@ -103,12 +100,12 @@ checkpoint::checkpoint(bool checked, const char fname[], int myrank) : filename(
cout << " checkpoint class created " << endl;
}
}
checkpoint::~checkpoint()
{
CheckList->clearList();
if (filename)
delete[] filename;
}
checkpoint::~checkpoint()
{
CheckList->clearList();
if (I_Print)
delete[] filename;
}
void checkpoint::addvariable(var *VV)
{
@@ -139,7 +136,7 @@ void checkpoint::writecheck_cgh(double time, cgh *GH)
if (I_Print)
{
// char fname[50];
char fname[4096];
char fname[50+50];
sprintf(fname, "%s_cgh.CHK", filename);
outfile.open(fname, ios::out | ios::trunc);
@@ -198,7 +195,7 @@ void checkpoint::readcheck_cgh(double &time, cgh *GH, int myrank, int nprocs, in
int DIM = dim;
ifstream infile;
// char fname[50];
char fname[4096];
char fname[50+50];
sprintf(fname, "%s_cgh.CHK", filename);
infile.open(fname);
@@ -300,7 +297,7 @@ void checkpoint::writecheck_sh(double time, ShellPatch *SH)
if (I_Print)
{
char fname[4096];
char fname[50];
sprintf(fname, "%s_sh.CHK", filename);
outfile.open(fname, ios::out | ios::trunc);
@@ -338,7 +335,7 @@ void checkpoint::readcheck_sh(ShellPatch *SH, int myrank)
int DIM = dim;
ifstream infile;
// char fname[50];
char fname[4096];
char fname[50+50];
sprintf(fname, "%s_sh.CHK", filename);
infile.open(fname);
@@ -393,7 +390,7 @@ void checkpoint::write_Black_Hole_position(int BH_num_input, int BH_num, double
if (I_Print)
{
char fname[4096];
char fname[50];
sprintf(fname, "%s_BHp.CHK", filename);
outfile.open(fname, ios::out | ios::trunc);
@@ -420,7 +417,7 @@ void checkpoint::read_Black_Hole_position(int &BH_num_input, int &BH_num, double
{
ifstream infile;
// char fname[50];
char fname[4096];
char fname[50+50];
sprintf(fname, "%s_BHp.CHK", filename);
infile.open(fname);
@@ -464,7 +461,7 @@ void checkpoint::write_bssn(double LastDump, double Last2dDump, double LastAnas)
if (I_Print)
{
char fname[4096];
char fname[50];
sprintf(fname, "%s_bssn.CHK", filename);
outfile.open(fname, ios::out | ios::trunc);
@@ -484,7 +481,7 @@ void checkpoint::read_bssn(double &LastDump, double &Last2dDump, double &LastAna
{
ifstream infile;
// char fname[50];
char fname[4096];
char fname[50+50];
sprintf(fname, "%s_bssn.CHK", filename);
infile.open(fname);
@@ -509,7 +506,7 @@ void checkpoint::write_bssn(double LastDump, double Last2dDump, double LastAnas)
ofstream outfile;
// char fname[50];
char fname[4096];
char fname[50+50];
sprintf(fname, "%s_bssn.CHK", filename);
outfile.open(fname, ios::out | ios::trunc);
@@ -530,7 +527,7 @@ void checkpoint::read_bssn(double &LastDump, double &Last2dDump, double &LastAna
{
ifstream infile;
// char fname[50];
char fname[4096];
char fname[50+50];
sprintf(fname, "%s_bssn.CHK", filename);
infile.open(fname);
@@ -554,7 +551,7 @@ void checkpoint::write_Black_Hole_position(int BH_num_input, int BH_num, double
ofstream outfile;
// char fname[50];
char fname[4096];
char fname[50+50];
sprintf(fname, "%s_BHp.CHK", filename);
outfile.open(fname, ios::out | ios::trunc);
@@ -584,7 +581,7 @@ void checkpoint::read_Black_Hole_position(int &BH_num_input, int &BH_num, double
{
ifstream infile;
// char fname[50];
char fname[4096];
char fname[50+50];
sprintf(fname, "%s_BHp.CHK", filename);
infile.open(fname);
@@ -631,7 +628,7 @@ void checkpoint::writecheck_cgh(double time, cgh *GH)
ofstream outfile;
// char fname[50];
char fname[4096];
char fname[50+50];
sprintf(fname, "%s_cgh.CHK", filename);
outfile.open(fname, ios::out | ios::trunc);
@@ -741,7 +738,7 @@ void checkpoint::readcheck_cgh(double &time, cgh *GH, int myrank, int nprocs, in
int DIM = dim;
ifstream infile;
// char fname[50];
char fname[4096];
char fname[50+50];
sprintf(fname, "%s_cgh.CHK", filename);
infile.open(fname);

View File

@@ -1,412 +0,0 @@
#ifndef AMSS_NCKU_FD_CUDA_HELPERS_CUH
#define AMSS_NCKU_FD_CUDA_HELPERS_CUH
#ifndef ghost_width
#error "ghost_width must be defined before including fd_cuda_helpers.cuh"
#endif
#if ghost_width < 2 || ghost_width > 5
#error "CUDA finite-difference helpers support ghost_width 2..5"
#endif
#define AMSS_FD_CENTER_RADIUS (ghost_width - 1)
#define AMSS_FD_LK_RADIUS (ghost_width)
__device__ __forceinline__ int fd_axis_radius(int qF, int qminF, int qmaxF)
{
#if AMSS_FD_CENTER_RADIUS >= 4
if (qF - 4 >= qminF && qF + 4 <= qmaxF) return 4;
#endif
#if AMSS_FD_CENTER_RADIUS >= 3
if (qF - 3 >= qminF && qF + 3 <= qmaxF) return 3;
#endif
#if AMSS_FD_CENTER_RADIUS >= 2
if (qF - 2 >= qminF && qF + 2 <= qmaxF) return 2;
#endif
if (qF - 1 >= qminF && qF + 1 <= qmaxF) return 1;
return 0;
}
__device__ __forceinline__ int fd_common_radius(int iF, int jF, int kF,
int iminF, int jminF, int kminF,
int imaxF, int jmaxF, int kmaxF)
{
int r = fd_axis_radius(iF, iminF, imaxF);
const int ry = fd_axis_radius(jF, jminF, jmaxF);
const int rz = fd_axis_radius(kF, kminF, kmaxF);
if (ry < r) r = ry;
if (rz < r) r = rz;
return r;
}
__device__ __forceinline__ double fd_first_coef(int r, int off)
{
switch (r) {
case 1:
if (off == -1) return -1.0;
if (off == 1) return 1.0;
return 0.0;
case 2:
if (off == -2) return 1.0;
if (off == -1) return -8.0;
if (off == 1) return 8.0;
if (off == 2) return -1.0;
return 0.0;
case 3:
if (off == -3) return -1.0;
if (off == -2) return 9.0;
if (off == -1) return -45.0;
if (off == 1) return 45.0;
if (off == 2) return -9.0;
if (off == 3) return 1.0;
return 0.0;
case 4:
if (off == -4) return 3.0;
if (off == -3) return -32.0;
if (off == -2) return 168.0;
if (off == -1) return -672.0;
if (off == 1) return 672.0;
if (off == 2) return -168.0;
if (off == 3) return 32.0;
if (off == 4) return -3.0;
return 0.0;
default:
return 0.0;
}
}
__device__ __forceinline__ double fd_second_coef(int r, int off)
{
switch (r) {
case 1:
if (off == -1) return 1.0;
if (off == 0) return -2.0;
if (off == 1) return 1.0;
return 0.0;
case 2:
if (off == -2) return -1.0;
if (off == -1) return 16.0;
if (off == 0) return -30.0;
if (off == 1) return 16.0;
if (off == 2) return -1.0;
return 0.0;
case 3:
if (off == -3) return 2.0;
if (off == -2) return -27.0;
if (off == -1) return 270.0;
if (off == 0) return -490.0;
if (off == 1) return 270.0;
if (off == 2) return -27.0;
if (off == 3) return 2.0;
return 0.0;
case 4:
if (off == -4) return -9.0;
if (off == -3) return 128.0;
if (off == -2) return -1008.0;
if (off == -1) return 8064.0;
if (off == 0) return -14350.0;
if (off == 1) return 8064.0;
if (off == 2) return -1008.0;
if (off == 3) return 128.0;
if (off == 4) return -9.0;
return 0.0;
default:
return 0.0;
}
}
__device__ __forceinline__ double fd_first_denom(int r)
{
return (r == 4) ? 840.0 : ((r == 3) ? 60.0 : ((r == 2) ? 12.0 : 2.0));
}
__device__ __forceinline__ double fd_second_denom(int r)
{
return (r == 4) ? 5040.0 : ((r == 3) ? 180.0 : ((r == 2) ? 12.0 : 1.0));
}
__device__ __forceinline__ double fd_fetch_axis(const double *src,
int iF, int jF, int kF,
int axis, int off,
int SoA0, int SoA1, int SoA2)
{
if (axis == 0) iF += off;
else if (axis == 1) jF += off;
else kF += off;
return fetch_sym_ord2_direct(src, iF, jF, kF, SoA0, SoA1, SoA2);
}
__device__ __forceinline__ double fd_fetch_axis2(const double *src,
int iF, int jF, int kF,
int axis_a, int off_a,
int axis_b, int off_b,
int SoA0, int SoA1, int SoA2)
{
if (axis_a == 0) iF += off_a;
else if (axis_a == 1) jF += off_a;
else kF += off_a;
if (axis_b == 0) iF += off_b;
else if (axis_b == 1) jF += off_b;
else kF += off_b;
return fetch_sym_ord2_direct(src, iF, jF, kF, SoA0, SoA1, SoA2);
}
__device__ __forceinline__ double fd_first_axis_radius(const double *src,
int iF, int jF, int kF,
int axis, int r, double h,
int SoA0, int SoA1, int SoA2)
{
if (r <= 0) return 0.0;
double s = 0.0;
#pragma unroll
for (int off = -4; off <= 4; ++off) {
const double c = fd_first_coef(r, off);
if (c != 0.0) {
s += c * fd_fetch_axis(src, iF, jF, kF, axis, off, SoA0, SoA1, SoA2);
}
}
return s / (fd_first_denom(r) * h);
}
__device__ __forceinline__ double fd_second_axis_radius(const double *src,
int iF, int jF, int kF,
int axis, int r, double h,
int SoA0, int SoA1, int SoA2)
{
if (r <= 0) return 0.0;
double s = 0.0;
#pragma unroll
for (int off = -4; off <= 4; ++off) {
const double c = fd_second_coef(r, off);
if (c != 0.0) {
s += c * fd_fetch_axis(src, iF, jF, kF, axis, off, SoA0, SoA1, SoA2);
}
}
return s / (fd_second_denom(r) * h * h);
}
__device__ __forceinline__ double fd_mixed_axis_radius(const double *src,
int iF, int jF, int kF,
int axis_a, int r_a, double h_a,
int axis_b, int r_b, double h_b,
int SoA0, int SoA1, int SoA2)
{
if (r_a <= 0 || r_b <= 0) return 0.0;
double s = 0.0;
#pragma unroll
for (int off_a = -4; off_a <= 4; ++off_a) {
const double ca = fd_first_coef(r_a, off_a);
if (ca == 0.0) continue;
#pragma unroll
for (int off_b = -4; off_b <= 4; ++off_b) {
const double cb = fd_first_coef(r_b, off_b);
if (cb != 0.0) {
s += ca * cb * fd_fetch_axis2(src, iF, jF, kF, axis_a, off_a,
axis_b, off_b, SoA0, SoA1, SoA2);
}
}
}
return s / (fd_first_denom(r_a) * fd_first_denom(r_b) * h_a * h_b);
}
__device__ __forceinline__ void fd_compute_first3(const double *src,
int iF, int jF, int kF,
int iminF, int jminF, int kminF,
int imaxF, int jmaxF, int kmaxF,
int SoA0, int SoA1, int SoA2,
double &fx, double &fy, double &fz)
{
#if ghost_width == 3
const int r = fd_common_radius(iF, jF, kF, iminF, jminF, kminF, imaxF, jmaxF, kmaxF);
fx = fd_first_axis_radius(src, iF, jF, kF, 0, r, d_gp.dX, SoA0, SoA1, SoA2);
fy = fd_first_axis_radius(src, iF, jF, kF, 1, r, d_gp.dY, SoA0, SoA1, SoA2);
fz = fd_first_axis_radius(src, iF, jF, kF, 2, r, d_gp.dZ, SoA0, SoA1, SoA2);
#else
fx = fd_first_axis_radius(src, iF, jF, kF, 0, fd_axis_radius(iF, iminF, imaxF),
d_gp.dX, SoA0, SoA1, SoA2);
fy = fd_first_axis_radius(src, iF, jF, kF, 1, fd_axis_radius(jF, jminF, jmaxF),
d_gp.dY, SoA0, SoA1, SoA2);
fz = fd_first_axis_radius(src, iF, jF, kF, 2, fd_axis_radius(kF, kminF, kmaxF),
d_gp.dZ, SoA0, SoA1, SoA2);
#endif
}
__device__ __forceinline__ void fd_compute_second6(const double *src,
int iF, int jF, int kF,
int iminF, int jminF, int kminF,
int imaxF, int jmaxF, int kmaxF,
int SoA0, int SoA1, int SoA2,
double &fxx, double &fxy, double &fxz,
double &fyy, double &fyz, double &fzz)
{
#if ghost_width == 3
const int r = fd_common_radius(iF, jF, kF, iminF, jminF, kminF, imaxF, jmaxF, kmaxF);
const int rx = r, ry = r, rz = r;
#else
const int rx = fd_axis_radius(iF, iminF, imaxF);
const int ry = fd_axis_radius(jF, jminF, jmaxF);
const int rz = fd_axis_radius(kF, kminF, kmaxF);
#endif
fxx = fd_second_axis_radius(src, iF, jF, kF, 0, rx, d_gp.dX, SoA0, SoA1, SoA2);
fyy = fd_second_axis_radius(src, iF, jF, kF, 1, ry, d_gp.dY, SoA0, SoA1, SoA2);
fzz = fd_second_axis_radius(src, iF, jF, kF, 2, rz, d_gp.dZ, SoA0, SoA1, SoA2);
fxy = fd_mixed_axis_radius(src, iF, jF, kF, 0, rx, d_gp.dX, 1, ry, d_gp.dY, SoA0, SoA1, SoA2);
fxz = fd_mixed_axis_radius(src, iF, jF, kF, 0, rx, d_gp.dX, 2, rz, d_gp.dZ, SoA0, SoA1, SoA2);
fyz = fd_mixed_axis_radius(src, iF, jF, kF, 1, ry, d_gp.dY, 2, rz, d_gp.dZ, SoA0, SoA1, SoA2);
}
__device__ __forceinline__ bool fd_lop_fits(int qF, int qminF, int qmaxF,
int dir, int lo, int hi)
{
for (int off = lo; off <= hi; ++off) {
const int q = qF + dir * off;
if (q < qminF || q > qmaxF) return false;
}
return true;
}
__device__ __forceinline__ double fd_lop_fetch_sum(const double *src,
int iF, int jF, int kF,
int axis, int dir,
const double *coef,
int lo, int hi,
int SoA0, int SoA1, int SoA2)
{
double s = 0.0;
for (int off = lo; off <= hi; ++off) {
const double c = coef[off - lo];
if (c != 0.0) {
s += c * fd_fetch_axis(src, iF, jF, kF, axis, dir * off, SoA0, SoA1, SoA2);
}
}
return s;
}
__device__ __forceinline__ double fd_lopsided_axis(const double *src,
int iF, int jF, int kF,
int axis, double speed,
int qF, int qminF, int qmaxF,
double h,
int SoA0, int SoA1, int SoA2)
{
if (speed == 0.0) return 0.0;
const int dir = (speed > 0.0) ? 1 : -1;
const double mag = (speed > 0.0) ? speed : -speed;
#if ghost_width == 2
if (fd_lop_fits(qF, qminF, qmaxF, dir, 0, 2)) {
const double c[] = {-3.0, 4.0, -1.0};
return mag * fd_lop_fetch_sum(src, iF, jF, kF, axis, dir, c, 0, 2, SoA0, SoA1, SoA2) / (2.0 * h);
}
if (fd_lop_fits(qF, qminF, qmaxF, dir, 0, 1)) {
const double c[] = {-1.0, 1.0};
return mag * fd_lop_fetch_sum(src, iF, jF, kF, axis, dir, c, 0, 1, SoA0, SoA1, SoA2) / (2.0 * h);
}
return 0.0;
#elif ghost_width == 3
if (fd_lop_fits(qF, qminF, qmaxF, dir, -1, 3)) {
const double c[] = {-3.0, -10.0, 18.0, -6.0, 1.0};
return mag * fd_lop_fetch_sum(src, iF, jF, kF, axis, dir, c, -1, 3, SoA0, SoA1, SoA2) / (12.0 * h);
}
const int r = fd_axis_radius(qF, qminF, qmaxF);
return speed * fd_first_axis_radius(src, iF, jF, kF, axis, r, h, SoA0, SoA1, SoA2);
#elif ghost_width == 4
if (fd_lop_fits(qF, qminF, qmaxF, dir, -2, 4)) {
const double c[] = {2.0, -24.0, -35.0, 80.0, -30.0, 8.0, -1.0};
return mag * fd_lop_fetch_sum(src, iF, jF, kF, axis, dir, c, -2, 4, SoA0, SoA1, SoA2) / (60.0 * h);
}
if (fd_lop_fits(qF, qminF, qmaxF, dir, -1, 5)) {
const double c[] = {-10.0, -77.0, 150.0, -100.0, 50.0, -15.0, 2.0};
return mag * fd_lop_fetch_sum(src, iF, jF, kF, axis, dir, c, -1, 5, SoA0, SoA1, SoA2) / (60.0 * h);
}
const int r = fd_axis_radius(qF, qminF, qmaxF);
return speed * fd_first_axis_radius(src, iF, jF, kF, axis, r, h, SoA0, SoA1, SoA2);
#else
if (fd_lop_fits(qF, qminF, qmaxF, dir, -3, 5)) {
const double c[] = {-5.0, 60.0, -420.0, -378.0, 1050.0, -420.0, 140.0, -30.0, 3.0};
return mag * fd_lop_fetch_sum(src, iF, jF, kF, axis, dir, c, -3, 5, SoA0, SoA1, SoA2) / (840.0 * h);
}
const int r = fd_axis_radius(qF, qminF, qmaxF);
return speed * fd_first_axis_radius(src, iF, jF, kF, axis, r, h, SoA0, SoA1, SoA2);
#endif
}
__device__ __forceinline__ double fd_ko_coef(int r, int off)
{
const int a = off < 0 ? -off : off;
if (r == 2) {
if (a == 0) return 6.0;
if (a == 1) return -4.0;
if (a == 2) return 1.0;
} else if (r == 3) {
if (a == 0) return -20.0;
if (a == 1) return 15.0;
if (a == 2) return -6.0;
if (a == 3) return 1.0;
} else if (r == 4) {
if (a == 0) return 70.0;
if (a == 1) return -56.0;
if (a == 2) return 28.0;
if (a == 3) return -8.0;
if (a == 4) return 1.0;
} else if (r == 5) {
if (a == 0) return -252.0;
if (a == 1) return 210.0;
if (a == 2) return -120.0;
if (a == 3) return 45.0;
if (a == 4) return -10.0;
if (a == 5) return 1.0;
}
return 0.0;
}
__device__ __forceinline__ double fd_ko_axis(const double *src,
int iF, int jF, int kF,
int axis, int r,
int SoA0, int SoA1, int SoA2)
{
double s = 0.0;
#pragma unroll
for (int off = -5; off <= 5; ++off) {
if (off < -r || off > r) continue;
const double c = fd_ko_coef(r, off);
if (c != 0.0) {
s += c * fd_fetch_axis(src, iF, jF, kF, axis, off, SoA0, SoA1, SoA2);
}
}
return s;
}
__device__ __forceinline__ double fd_ko_term(const double *src,
int iF, int jF, int kF,
int iminF, int jminF, int kminF,
int imaxF, int jmaxF, int kmaxF,
double eps_val,
int SoA0, int SoA1, int SoA2)
{
const int r = AMSS_FD_LK_RADIUS;
if (eps_val <= 0.0) return 0.0;
#if ghost_width >= 4
if (iF - r <= iminF || iF + r >= imaxF ||
jF - r <= jminF || jF + r >= jmaxF ||
kF - r <= kminF || kF + r >= kmaxF) {
return 0.0;
}
#else
if (iF - r < iminF || iF + r > imaxF ||
jF - r < jminF || jF + r > jmaxF ||
kF - r < kminF || kF + r > kmaxF) {
return 0.0;
}
#endif
double cof = 1.0;
#pragma unroll
for (int n = 0; n < 2 * r; ++n) cof *= 2.0;
const double sign = (r & 1) ? 1.0 : -1.0;
const double dx = fd_ko_axis(src, iF, jF, kF, 0, r, SoA0, SoA1, SoA2);
const double dy = fd_ko_axis(src, iF, jF, kF, 1, r, SoA0, SoA1, SoA2);
const double dz = fd_ko_axis(src, iF, jF, kF, 2, r, SoA0, SoA1, SoA2);
return sign * eps_val * (dx / d_gp.dX + dy / d_gp.dY + dz / d_gp.dZ) / cof;
}
#endif

View File

@@ -1511,88 +1511,13 @@ deallocate(f_flat)
f_out = f_out*dX*dY*dZ
return
end subroutine l2normhelper
!--------------------------------------------------------------------------------------
subroutine l2normhelper7(ex, X, Y, Z,xmin,ymin,zmin,xmax,ymax,zmax,&
f1,f2,f3,f4,f5,f6,f7,f_out,gw)
implicit none
!~~~~~~> Input parameters:
integer,intent(in ):: ex(1:3)
real*8, intent(in ):: X(1:ex(1)),Y(1:ex(2)),Z(1:ex(3)),xmin,ymin,zmin,xmax,ymax,zmax
integer,intent(in)::gw
real*8, dimension(ex(1),ex(2),ex(3)),intent(in) :: f1,f2,f3,f4,f5,f6,f7
real*8, intent(out) :: f_out(7)
!~~~~~~> Other variables:
real*8 :: dX, dY, dZ
integer::imin,jmin,kmin
integer::imax,jmax,kmax
integer::i,j,k
real*8 :: s1,s2,s3,s4,s5,s6,s7
dX = X(2) - X(1)
dY = Y(2) - Y(1)
dZ = Z(2) - Z(1)
! for ghost zone
imin = gw+1
jmin = gw+1
kmin = gw+1
imax = ex(1) - gw
jmax = ex(2) - gw
kmax = ex(3) - gw
!for patch boundary (i.e., not ghost boundary)
if(dabs(X(ex(1))-xmax) < dX) imax = ex(1)
if(dabs(Y(ex(2))-ymax) < dY) jmax = ex(2)
if(dabs(Z(ex(3))-zmax) < dZ) kmax = ex(3)
if(dabs(X(1)-xmin) < dX) imin = 1
if(dabs(Y(1)-ymin) < dY) jmin = 1
if(dabs(Z(1)-zmin) < dZ) kmin = 1
s1 = 0.d0
s2 = 0.d0
s3 = 0.d0
s4 = 0.d0
s5 = 0.d0
s6 = 0.d0
s7 = 0.d0
do k=kmin,kmax
do j=jmin,jmax
!DIR$ SIMD REDUCTION(+:s1,s2,s3,s4,s5,s6,s7)
do i=imin,imax
s1 = s1 + f1(i,j,k)*f1(i,j,k)
s2 = s2 + f2(i,j,k)*f2(i,j,k)
s3 = s3 + f3(i,j,k)*f3(i,j,k)
s4 = s4 + f4(i,j,k)*f4(i,j,k)
s5 = s5 + f5(i,j,k)*f5(i,j,k)
s6 = s6 + f6(i,j,k)*f6(i,j,k)
s7 = s7 + f7(i,j,k)*f7(i,j,k)
enddo
enddo
enddo
f_out(1) = s1*dX*dY*dZ
f_out(2) = s2*dX*dY*dZ
f_out(3) = s3*dX*dY*dZ
f_out(4) = s4*dX*dY*dZ
f_out(5) = s5*dX*dY*dZ
f_out(6) = s6*dX*dY*dZ
f_out(7) = s7*dX*dY*dZ
return
end subroutine l2normhelper7
!--------------------------------------------------------------------------------------
! calculate L2norm especially for shell Blocks
subroutine l2normhelper_sh(ex, X, Y, Z,xmin,ymin,zmin,xmax,ymax,zmax,&
f,f_out,gw,ogw,Symmetry)
return
end subroutine l2normhelper
!--------------------------------------------------------------------------------------
! calculate L2norm especially for shell Blocks
subroutine l2normhelper_sh(ex, X, Y, Z,xmin,ymin,zmin,xmax,ymax,zmax,&
f,f_out,gw,ogw,Symmetry)
implicit none
!~~~~~~> Input parameters:

View File

@@ -12,10 +12,9 @@
#define f_global_interpind global_interpind
#define f_global_interpind2d global_interpind2d
#define f_global_interpind1d global_interpind1d
#define f_l2normhelper l2normhelper
#define f_l2normhelper7 l2normhelper7
#define f_l2normhelper_sh l2normhelper_sh
#define f_l2normhelper_sh_rms l2normhelper_sh_rms
#define f_l2normhelper l2normhelper
#define f_l2normhelper_sh l2normhelper_sh
#define f_l2normhelper_sh_rms l2normhelper_sh_rms
#define f_average average
#define f_average3 average3
#define f_average2 average2
@@ -42,10 +41,9 @@
#define f_global_interpind GLOBAL_INTERPIND
#define f_global_interpind2d GLOBAL_INTERPIND2D
#define f_global_interpind1d GLOBAL_INTERPIND1D
#define f_l2normhelper L2NORMHELPER
#define f_l2normhelper7 L2NORMHELPER7
#define f_l2normhelper_sh L2NORMHELPER_SH
#define f_l2normhelper_sh_rms L2NORMHELPER_SH_RMS
#define f_l2normhelper L2NORMHELPER
#define f_l2normhelper_sh L2NORMHELPER_SH
#define f_l2normhelper_sh_rms L2NORMHELPER_SH_RMS
#define f_average AVERAGE
#define f_average3 AVERAGE3
#define f_average2 AVERAGE2
@@ -72,10 +70,9 @@
#define f_global_interpind global_interpind_
#define f_global_interpind2d global_interpind2d_
#define f_global_interpind1d global_interpind1d_
#define f_l2normhelper l2normhelper_
#define f_l2normhelper7 l2normhelper7_
#define f_l2normhelper_sh l2normhelper_sh_
#define f_l2normhelper_sh_rms l2normhelper_sh_rms_
#define f_l2normhelper l2normhelper_
#define f_l2normhelper_sh l2normhelper_sh_
#define f_l2normhelper_sh_rms l2normhelper_sh_rms_
#define f_average average_
#define f_average3 average3_
#define f_average2 average2_
@@ -159,29 +156,20 @@ extern "C"
int *, double *, int &, int &);
}
extern "C"
{
void f_l2normhelper(int *, double *, double *, double *,
double &, double &, double &,
double &, double &, double &,
double *, double &, int &);
}
extern "C"
{
void f_l2normhelper7(int *, double *, double *, double *,
double &, double &, double &,
double &, double &, double &,
double *, double *, double *, double *,
double *, double *, double *, double *, int &);
}
extern "C"
{
void f_l2normhelper_sh(int *, double *, double *, double *,
double &, double &, double &,
double &, double &, double &,
double *, double &, int &, int &, int &);
extern "C"
{
void f_l2normhelper(int *, double *, double *, double *,
double &, double &, double &,
double &, double &, double &,
double *, double &, int &);
}
extern "C"
{
void f_l2normhelper_sh(int *, double *, double *, double *,
double &, double &, double &,
double &, double &, double &,
double *, double &, int &, int &, int &);
}
extern "C"

View File

@@ -1,6 +1,6 @@
#ifndef GPU_MEM_H_
#define GPU_MEM_H_
#include "macrodef.h"
#include "macrodef.fh"
#ifdef WithShell
struct Metass
@@ -48,8 +48,6 @@ struct Meta
double * Gamx_rhs,*Gamy_rhs,*Gamz_rhs;//out
double * Lap_rhs, *betax_rhs, *betay_rhs, *betaz_rhs;//out
double * dtSfx_rhs,*dtSfy_rhs,*dtSfz_rhs;//out
double * TZ; //in (Z4C)
double * TZ_rhs; //out (Z4C)
double * rho,*Sx,*Sy,*Sz ; //in
double * Sxx,*Sxy,*Sxz,*Syy,*Syz,*Szz; //in
@@ -134,8 +132,6 @@ __constant__ double SYM = 1.0;
__constant__ double ANTI = -1.0;
__constant__ double FF = 0.75;
__constant__ double eta = 2.0;
__constant__ double kappa1_c = 0.02;
__constant__ double kappa2_c = 0.0;
__constant__ double F1o3;
__constant__ double F2o3;
__constant__ double F3o2 = 1.5;

View File

@@ -29,16 +29,6 @@
#define REGLEV 0
#define BSSN_FINE_TIMING 0
#define BSSN_FINE_TIMING_EVERY 1
#define BSSN_FINE_TIMING_TOPN 8
#define BSSN_KERNEL_FINE_TIMING 0
#define BSSN_ENABLE_STDIN_ABORT_POLL 0
//#define USE_GPU
//#define CHECKDETAIL
@@ -98,21 +88,6 @@
// 0: for every level;
// 1: for all
//
// define BSSN_FINE_TIMING
// enable fine-grained per-timestep timing monitor
//
// define BSSN_FINE_TIMING_EVERY
// report timing every N coarse timesteps
//
// define BSSN_FINE_TIMING_TOPN
// number of hottest timing buckets shown in stdout
//
// define BSSN_KERNEL_FINE_TIMING
// enable split timing inside compute_rhs_bssn
//
// define BSSN_ENABLE_STDIN_ABORT_POLL
// poll stdin and broadcast abort flag every coarse step
//
// define USE_GPU
// use gpu or not
//
@@ -167,3 +142,4 @@
#define TINY 1e-10
#endif /* MICRODEF_H */

View File

@@ -1,54 +1,37 @@
include makefile.inc
## polint(ordn=6) kernel selector:
## 1 (default): barycentric fast path
## 0 : fallback to Neville path
POLINT6_USE_BARY ?= 1
POLINT6_FLAG = -DPOLINT6_USE_BARYCENTRIC=$(POLINT6_USE_BARY)
## ABE build flags selected by PGO_MODE (set in makefile.inc, default: opt)
## make -> opt (PGO-guided, maximum performance)
## make PGO_MODE=instrument -> instrument (Phase 1: collect fresh profile data)
PROFDATA = /home/$(shell whoami)/AMSS-NCKU/pgo_profile/default.profdata
ifeq ($(TOOLCHAIN),intel)
OMP_FLAG = -qopenmp
include makefile.inc
## polint(ordn=6) kernel selector:
## 1 (default): barycentric fast path
## 0 : fallback to Neville path
POLINT6_USE_BARY ?= 1
POLINT6_FLAG = -DPOLINT6_USE_BARYCENTRIC=$(POLINT6_USE_BARY)
## ABE build flags selected by PGO_MODE (set in makefile.inc, default: opt)
## make -> opt (PGO-guided, maximum performance)
## make PGO_MODE=instrument -> instrument (Phase 1: collect fresh profile data)
PROFDATA = /home/$(shell whoami)/AMSS-NCKU/pgo_profile/default.profdata
ifeq ($(PGO_MODE),instrument)
## Intel Phase 1: instrumentation — omit -ipo/-fp-model fast=2 for faster build and numerical stability
CXXAPPFLAGS = -O3 -march=znver5 -fma -fprofile-instr-generate -ipo \
-Dfortran3 -Dnewc $(MKL_INC) $(INTERP_LB_FLAGS)
f90appflags = -O3 -march=znver5 -fma -fprofile-instr-generate -ipo \
-align array64byte -fpp $(MKL_INC) $(POLINT6_FLAG)
else
## opt (default): maximum performance with PGO profile data -fprofile-instr-use=$(PROFDATA) \
## PGO has been turned off, now tested and found to be negative optimization
## INTERP_LB_FLAGS has been turned off too, now tested and found to be negative optimization
CXXAPPFLAGS = -O3 -march=znver5 -fp-model fast=2 -fma -ipo \
-Dfortran3 -Dnewc $(MKL_INC) $(INTERP_LB_FLAGS)
f90appflags = -O3 -march=znver5 -fp-model fast=2 -fma -ipo \
-align array64byte -fpp $(MKL_INC) $(POLINT6_FLAG)
endif
TP_OPTFLAGS = -O3 -march=znver5 -fp-model fast=2 -fma -ipo \
-Dfortran3 -Dnewc $(MKL_INC)
else
## NVHPC defaults: mpicc/mpicxx/mpifort wrappers
## PGO_MODE is ignored in this branch.
OMP_FLAG = -mp
CXXAPPFLAGS = -O3 -march=znver5 -tp=host -Mcache_align -Mfma \
-Dfortran3 -Dnewc $(MKL_INC) $(INTERP_LB_FLAGS)
f90appflags = -O3 -march=znver5 -tp=host -Mcache_align -Mfma -Mpreprocess \
$(MKL_INC) $(POLINT6_FLAG)
TP_OPTFLAGS = -O3 -march=znver5 -tp=host -Mcache_align -Mfma \
-Dfortran3 -Dnewc $(MKL_INC)
endif
.SUFFIXES: .o .f90 .C .for .cu
## Phase 1: instrumentation — omit -ipo/-fp-model fast=2 for faster build and numerical stability
CXXAPPFLAGS = -O3 -xHost -fma -fprofile-instr-generate -ipo \
-Dfortran3 -Dnewc -I${MKLROOT}/include $(INTERP_LB_FLAGS)
f90appflags = -O3 -xHost -fma -fprofile-instr-generate -ipo \
-align array64byte -fpp -I${MKLROOT}/include $(POLINT6_FLAG)
else
## opt (default): maximum performance with PGO profile data -fprofile-instr-use=$(PROFDATA) \
## PGO has been turned off, now tested and found to be negative optimization
## INTERP_LB_FLAGS has been turned off too, now tested and found to be negative optimization
CXXAPPFLAGS = -O3 -xHost -fp-model fast=2 -fma -ipo \
-Dfortran3 -Dnewc -I${MKLROOT}/include $(INTERP_LB_FLAGS)
f90appflags = -O3 -xHost -fp-model fast=2 -fma -ipo \
-align array64byte -fpp -I${MKLROOT}/include $(POLINT6_FLAG)
endif
.SUFFIXES: .o .f90 .C .for .cu
.f90.o:
$(f90) $(f90appflags) -c $< -o $@
@@ -56,28 +39,12 @@ endif
.C.o:
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
# ShellPatch.C uses OpenMP for setupintintstuff search loops
ShellPatch.o: ShellPatch.C
${CXX} $(CXXAPPFLAGS) $(OMP_FLAG) -c $< $(filein) -o $@
.for.o:
$(f77) -c $< -o $@
.cu.o:
$(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH)
# CUDA rewrite of BSSN RHS (drop-in replacement for bssn_rhs_c + stencil helpers)
bssn_rhs_cuda.o: bssn_rhs_cuda.cu bssn_rhs.h macrodef.h fd_cuda_helpers.cuh
$(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH)
# CUDA rewrite of BSSN Shell-Patch RHS (drop-in replacement for bssn_rhs_ss)
bssn_gpu_rhs_ss.o: bssn_gpu_rhs_ss.cu bssn_gpu.h gpu_rhsSS_mem.h bssn_macro.h macrodef.fh
$(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH)
# CUDA rewrite of Z4C Cartesian RHS
z4c_rhs_cuda.o: z4c_rhs_cuda.cu z4c_rhs_cuda.h bssn_rhs.h macrodef.h ricci_gamma.h fd_cuda_helpers.cuh
$(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH)
# C rewrite of BSSN RHS kernel and helpers
bssn_rhs_c.o: bssn_rhs_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
@@ -91,86 +58,45 @@ fdderivs_c.o: fdderivs_c.C
kodiss_c.o: kodiss_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
lopsided_c.o: lopsided_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
lopsided_c.o: lopsided_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
lopsided_kodis_c.o: lopsided_kodis_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
#interp_lb_profile.o: interp_lb_profile.C interp_lb_profile.h
# ${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
lopsided_kodis_c.o: lopsided_kodis_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
z4c_rhs_c.o: z4c_rhs_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
#interp_lb_profile.o: interp_lb_profile.C interp_lb_profile.h
# ${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
## TwoPunctureABE uses fixed optimal flags with its own PGO profile, independent of CXXAPPFLAGS
TP_PROFDATA = /home/$(shell whoami)/AMSS-NCKU/pgo_profile/TwoPunctureABE.profdata
TP_OPTFLAGS = -O3 -xHost -fp-model fast=2 -fma -ipo \
-fprofile-instr-use=$(TP_PROFDATA) \
-Dfortran3 -Dnewc -I${MKLROOT}/include
TwoPunctures.o: TwoPunctures.C
${CXX} $(TP_OPTFLAGS) $(OMP_FLAG) -c $< -o $@
${CXX} $(TP_OPTFLAGS) -qopenmp -c $< -o $@
TwoPunctureABE.o: TwoPunctureABE.C
${CXX} $(TP_OPTFLAGS) $(OMP_FLAG) -c $< -o $@
${CXX} $(TP_OPTFLAGS) -qopenmp -c $< -o $@
# Input files
## CUDA BSSN RHS switch
## 1 : use the rewritten CUDA bssn_rhs backend
## 0 : keep the normal CPU/Fortran selection below
USE_CUDA_BSSN ?= 0
USE_CUDA_Z4C ?= 0
AMSS_Z4C_MRBD ?= 0
CXXAPPFLAGS += -DUSE_CUDA_BSSN=$(USE_CUDA_BSSN)
CUDA_APP_FLAGS += -DUSE_CUDA_BSSN=$(USE_CUDA_BSSN)
CXXAPPFLAGS += -DUSE_CUDA_Z4C=$(USE_CUDA_Z4C)
CUDA_APP_FLAGS += -DUSE_CUDA_Z4C=$(USE_CUDA_Z4C)
CXXAPPFLAGS += -DAMSS_Z4C_MRBD=$(AMSS_Z4C_MRBD)
CUDA_APP_FLAGS += -DAMSS_Z4C_MRBD=$(AMSS_Z4C_MRBD)
## Kernel implementation switch (set USE_CXX_KERNELS=0 to fall back to Fortran)
ifeq ($(USE_CXX_KERNELS),0)
# Fortran mode: no C rewrite files; bssn_rhs.o is included via F90FILES below
CFILES_CPU =
else
# C++ mode (default): C rewrite of bssn_rhs and helper kernels
CFILES_CPU = bssn_rhs_c.o fderivs_c.o fdderivs_c.o kodiss_c.o lopsided_c.o lopsided_kodis_c.o
endif
CFILES_CUDA_BSSN = bssn_rhs_cuda.o bssn_gpu_rhs_ss.o
ifeq ($(USE_CUDA_BSSN),1)
CFILES = $(CFILES_CUDA_BSSN)
else
CFILES = $(CFILES_CPU)
endif
ifeq ($(USE_CUDA_Z4C),1)
CFILES += z4c_rhs_cuda.o
Z4C_F90_OBJ =
else ifeq ($(USE_CXX_Z4C_KERNELS),1)
CFILES += z4c_rhs_c.o
Z4C_F90_OBJ =
else
Z4C_F90_OBJ = Z4c_rhs.o
endif
## RK4 kernel switch (independent from USE_CXX_KERNELS)
ifeq ($(USE_CXX_RK4),1)
RK4_C_OBJ = rungekutta4_rout_c.o
RK4_F90_OBJ =
else
RK4_C_OBJ =
RK4_F90_OBJ = rungekutta4_rout.o
endif
CFILES += $(RK4_C_OBJ)
ABE_CUDA_CFILES = $(CFILES_CUDA_BSSN) z4c_rhs_cuda.o $(RK4_C_OBJ)
ABE_LDLIBS = $(LDLIBS)
ifeq ($(USE_CUDA_BSSN),1)
ABE_LDLIBS += -lcudart $(CUDA_LIB_PATH)
endif
ifeq ($(USE_CUDA_Z4C),1)
ABE_LDLIBS += -lcudart $(CUDA_LIB_PATH)
endif
ifeq ($(USE_CXX_KERNELS),0)
# Fortran mode: no C rewrite files; bssn_rhs.o is included via F90FILES below
CFILES =
else
# C++ mode (default): C rewrite of bssn_rhs and helper kernels
CFILES = bssn_rhs_c.o fderivs_c.o fdderivs_c.o kodiss_c.o lopsided_c.o lopsided_kodis_c.o
endif
## RK4 kernel switch (independent from USE_CXX_KERNELS)
ifeq ($(USE_CXX_RK4),1)
CFILES += rungekutta4_rout_c.o
RK4_F90_OBJ =
else
RK4_F90_OBJ = rungekutta4_rout.o
endif
C++FILES = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o\
cgh.o bssn_class.o surface_integral.o ShellPatch.o\
@@ -179,21 +105,20 @@ C++FILES = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o\
Parallel_bam.o scalar_class.o transpbh.o NullShellPatch2.o\
NullShellPatch2_Evo.o writefile_f.o interp_lb_profile.o
#C++FILES_GPU = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o\
cgh.o surface_integral.o ShellPatch.o\
bssnEScalar_class.o perf.o Z4c_class.o NullShellPatch.o\
bssnEM_class.o cpbc_util.o z4c_rhs_point.o checkpoint.o\
Parallel_bam.o scalar_class.o transpbh.o NullShellPatch2.o\
NullShellPatch2_Evo.o \
bssn_gpu_class.o bssn_step_gpu.o bssn_macro.o writefile_f.o
C++FILES_GPU = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o\
cgh.o bssn_class.o surface_integral.o ShellPatch.o\
bssnEScalar_class.o perf.o Z4c_class.o NullShellPatch.o\
bssnEM_class.o cpbc_util.o z4c_rhs_point.o checkpoint.o\
Parallel_bam.o scalar_class.o transpbh.o NullShellPatch2.o\
NullShellPatch2_Evo.o bssn_cuda_step.o writefile_f.o
F90FILES_BASE = enforce_algebra.o fmisc.o initial_puncture.o prolongrestrict.o\
prolongrestrict_cell.o prolongrestrict_vertex.o\
$(RK4_F90_OBJ) diff_new.o kodiss.o kodiss_sh.o\
lopsidediff.o sommerfeld_rout.o getnp4.o diff_new_sh.o\
shellfunctions.o bssn_rhs_ss.o Set_Rho_ADM.o\
getnp4EScalar.o bssnEScalar_rhs.o bssn_constraint.o ricci_gamma.o\
fadmquantites_bssn.o $(Z4C_F90_OBJ) Z4c_rhs_ss.o point_diff_new_sh.o\
F90FILES_BASE = enforce_algebra.o fmisc.o initial_puncture.o prolongrestrict.o\
prolongrestrict_cell.o prolongrestrict_vertex.o\
$(RK4_F90_OBJ) diff_new.o kodiss.o kodiss_sh.o\
lopsidediff.o sommerfeld_rout.o getnp4.o diff_new_sh.o\
shellfunctions.o bssn_rhs_ss.o Set_Rho_ADM.o\
getnp4EScalar.o bssnEScalar_rhs.o bssn_constraint.o ricci_gamma.o\
fadmquantites_bssn.o Z4c_rhs.o Z4c_rhs_ss.o point_diff_new_sh.o\
cpbc.o getnp4old.o NullEvol.o initial_null.o initial_maxwell.o\
getnpem2.o empart.o NullNews.o fourdcurvature.o\
bssn2adm.o adm_constraint.o adm_ricci_gamma.o\
@@ -217,10 +142,10 @@ initial_guess.o Newton.o Jacobian.o ilucg.o IntPnts0.o IntPnts.o
TwoPunctureFILES = TwoPunctureABE.o TwoPunctures.o
#CUDAFILES = bssn_gpu.o bssn_gpu_rhs_ss.o
CUDAFILES = bssn_gpu.o bssn_cuda_ops.o
# file dependences
$(C++FILES) $(C++FILES_GPU) $(F90FILES) $(CFILES) $(ABE_CUDA_CFILES) $(AHFDOBJS) $(CUDAFILES): macrodef.fh
$(C++FILES) $(C++FILES_GPU) $(F90FILES) $(CFILES) $(AHFDOBJS) $(CUDAFILES): macrodef.fh
$(C++FILES): Block.h enforce_algebra.h fmisc.h initial_puncture.h macrodef.h\
misc.h monitor.h MyList.h Parallel.h MPatch.h prolongrestrict.h\
@@ -231,7 +156,7 @@ $(C++FILES): Block.h enforce_algebra.h fmisc.h initial_puncture.h macrodef.h\
empart.h NullNews.h kodiss.h Parallel_bam.h ricci_gamma.h\
initial_null2.h NullShellPatch2.h
#$(C++FILES_GPU): Block.h enforce_algebra.h fmisc.h initial_puncture.h macrodef.h\
$(C++FILES_GPU): Block.h enforce_algebra.h fmisc.h initial_puncture.h macrodef.h\
misc.h monitor.h MyList.h Parallel.h MPatch.h prolongrestrict.h\
rungekutta4_rout.h var.h bssn_rhs.h sommerfeld_rout.h\
cgh.h surface_integral.h ShellPatch.h shellfunctions.h perf.h\
@@ -243,7 +168,7 @@ $(C++FILES): Block.h enforce_algebra.h fmisc.h initial_puncture.h macrodef.h\
$(AHFDOBJS): cctk.h cctk_Config.h cctk_Types.h cctk_Constants.h myglobal.h
$(C++FILES) $(C++FILES_GPU) $(CFILES) $(ABE_CUDA_CFILES) $(AHFDOBJS) $(CUDAFILES): macrodef.h
$(C++FILES) $(C++FILES_GPU) $(CFILES) $(AHFDOBJS) $(CUDAFILES): macrodef.h
TwoPunctureFILES: TwoPunctures.h
@@ -253,18 +178,13 @@ misc.o : zbesh.o
# projects
ABE: $(C++FILES) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS)
$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(ABE_LDLIBS)
ABE_CUDA: USE_CUDA_BSSN=1
ABE_CUDA: USE_CUDA_Z4C=1
ABE_CUDA: $(C++FILES) $(ABE_CUDA_CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS)
$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES) $(ABE_CUDA_CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(LDLIBS) -lcudart $(CUDA_LIB_PATH)
$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(LDLIBS)
#ABEGPU: $(C++FILES_GPU) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES)
# $(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES_GPU) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES) $(LDLIBS)
ABEGPU: $(C++FILES_GPU) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES)
$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES_GPU) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES) $(LDLIBS)
TwoPunctureABE: $(TwoPunctureFILES)
$(CLINKER) $(TP_OPTFLAGS) $(OMP_FLAG) -o $@ $(TwoPunctureFILES) $(LDLIBS)
$(CLINKER) $(TP_OPTFLAGS) -qopenmp -o $@ $(TwoPunctureFILES) $(LDLIBS)
clean:
rm *.o ABE ABE_CUDA ABEGPU TwoPunctureABE make.log -f
rm *.o ABE ABEGPU TwoPunctureABE make.log -f

View File

@@ -1,7 +1,31 @@
## Toolchain selection
## nvhpc : NVIDIA HPC SDK + CUDA-aware MPI (default)
## intel : Intel oneAPI toolchain (legacy path)
TOOLCHAIN ?= intel
## GCC version (commented out)
## filein = -I/usr/include -I/usr/lib/x86_64-linux-gnu/mpich/include -I/usr/lib/x86_64-linux-gnu/openmpi/lib/ -I/usr/lib/gcc/x86_64-linux-gnu/11/ -I/usr/include/c++/11/
## filein = -I/usr/include/ -I/usr/include/openmpi-x86_64/ -I/usr/lib/x86_64-linux-gnu/openmpi/include/ -I/usr/lib/x86_64-linux-gnu/openmpi/lib/ -I/usr/lib/gcc/x86_64-linux-gnu/11/ -I/usr/include/c++/11/
## LDLIBS = -L/usr/lib/x86_64-linux-gnu -L/usr/lib64 -L/usr/lib/gcc/x86_64-linux-gnu/11 -lgfortran -lmpi -lgfortran
## Intel oneAPI version with oneMKL (Optimized for performance)
filein = -I/usr/include/ -I${MKLROOT}/include
## Using sequential MKL (OpenMP disabled for better single-threaded performance)
## Added -lifcore for Intel Fortran runtime and -limf for Intel math library
LDLIBS = -L${MKLROOT}/lib -lmkl_intel_lp64 -lmkl_sequential -lmkl_core -lifcore -limf -lpthread -lm -ldl -liomp5
CUDA_LDLIBS = -L/usr/local/cuda-12.9/targets/x86_64-linux/lib -lcudart
## Memory allocator switch
## 1 (default) : link Intel oneTBB allocator (libtbbmalloc)
## 0 : use system default allocator (ptmalloc)
USE_TBBMALLOC ?= 1
TBBMALLOC_SO ?= /home/intel/oneapi/2025.3/lib/libtbbmalloc.so
ifneq ($(wildcard $(TBBMALLOC_SO)),)
TBBMALLOC_LIBS = -Wl,--no-as-needed $(TBBMALLOC_SO) -Wl,--as-needed
else
TBBMALLOC_LIBS = -Wl,--no-as-needed -ltbbmalloc -Wl,--as-needed
endif
ifeq ($(USE_TBBMALLOC),1)
LDLIBS := $(TBBMALLOC_LIBS) $(LDLIBS)
endif
LDLIBS := $(CUDA_LDLIBS) $(LDLIBS)
## PGO build mode switch (ABE only; TwoPunctureABE always uses opt flags)
## opt : (default) maximum performance with PGO profile-guided optimization
@@ -22,70 +46,23 @@ else
INTERP_LB_FLAGS =
endif
MKLROOT ?= /home/intel/oneapi/mkl/latest
MKL_LIBDIR ?= $(MKLROOT)/lib/intel64
MKL_INC ?= -I$(MKLROOT)/include
NVHPC_ROOT ?= /home/nvidia/hpc_sdk/Linux_x86_64/25.11
CUDA_HOME ?= $(NVHPC_ROOT)/cuda
CUDA_ARCH ?= sm_80
## Kernel implementation switch
## 1 (default) : use C++ rewrite of bssn_rhs and helper kernels (faster)
## 0 : fall back to original Fortran kernels
USE_CXX_KERNELS ?= 1
## Z4C Cartesian RHS kernel switch
## 1 (default) : use C++ rewrite of Z4c_rhs (main Cartesian path faster)
## 0 : use original Fortran Z4c_rhs.o
USE_CXX_Z4C_KERNELS ?= 1
## RK4 kernel implementation switch
## 1 (default) : use C/C++ rewrite of rungekutta4_rout (for optimization experiments)
## 0 : use original Fortran rungekutta4_rout.o
USE_CXX_RK4 ?= 1
## Memory allocator switch
## 1 (default) : link Intel oneTBB allocator (libtbbmalloc)
## 0 : use system default allocator (ptmalloc)
USE_TBBMALLOC ?= 1
TBBMALLOC_SO ?= /home/intel/oneapi/2025.3/lib/libtbbmalloc.so
ifneq ($(wildcard $(TBBMALLOC_SO)),)
TBBMALLOC_LIBS = -Wl,--no-as-needed $(TBBMALLOC_SO) -Wl,--as-needed
else
TBBMALLOC_LIBS = -Wl,--no-as-needed -ltbbmalloc -Wl,--as-needed
endif
ifeq ($(TOOLCHAIN),intel)
f90 = ifx
f77 = ifx
CXX = icpx
CC = icx
CLINKER = mpiicpx
filein = -I/usr/include/ $(MKL_INC) -I$(CUDA_HOME)/include
LDLIBS = -L$(MKL_LIBDIR) -Wl,-rpath,$(MKL_LIBDIR) \
-lmkl_intel_lp64 -lmkl_sequential -lmkl_core \
-lifcore -limf -liomp5 -lpthread -lm -ldl \
-L$(CUDA_HOME)/lib64 -Wl,-rpath,$(CUDA_HOME)/lib64 -lcuda -lcudart
else ifeq ($(TOOLCHAIN),nvhpc)
f90 = mpifort
f77 = mpifort
CXX = mpicxx
CC = mpicc
CLINKER = mpicxx
filein = -I/usr/include/ $(MKL_INC) -I$(CUDA_HOME)/include
LDLIBS = -L$(MKL_LIBDIR) -Wl,-rpath,$(MKL_LIBDIR) \
-lmkl_intel_lp64 -lmkl_sequential -lmkl_core \
-lpthread -lm -ldl \
-L$(CUDA_HOME)/lib64 -Wl,-rpath,$(CUDA_HOME)/lib64 -lcuda -lcudart \
-fortranlibs
endif
ifeq ($(USE_TBBMALLOC),1)
LDLIBS := $(TBBMALLOC_LIBS) $(LDLIBS)
endif
Cu = $(NVHPC_ROOT)/compilers/bin/nvcc
CUDA_LIB_PATH = -L$(CUDA_HOME)/lib64 -I$(CUDA_HOME)/include
CUDA_APP_FLAGS = -c -g -O3 --ptxas-options=-v -Dfortran3 -Dnewc -arch=$(CUDA_ARCH)
Cu = nvcc
CUDA_LIB_PATH = -L/usr/lib/cuda/lib64 -I/usr/include -I/usr/lib/cuda/include
#CUDA_APP_FLAGS = -c -g -O3 --ptxas-options=-v -arch compute_13 -code compute_13,sm_13 -Dfortran3 -Dnewc
CUDA_APP_FLAGS = -c -g -O3 --ptxas-options=-v -Dfortran3 -Dnewc

View File

@@ -1,8 +1,7 @@
#ifdef newc
#include <cstdio>
#include <sstream>
using namespace std;
#ifdef newc
#include <cstdio>
using namespace std;
#else
#include <stdio.h>
#endif
@@ -78,17 +77,16 @@ monitor::monitor(const char fname[], int myrank, string head)
parameters::str_par.insert(map<string, string>::value_type("output dir", out_dir));
}
// considering checkpoint run
string filename = out_dir + "/" + fname;
int i = 1;
while ((access(filename.c_str(), F_OK)) != -1)
{
stringstream ss;
ss << out_dir << "/" << i << "_" << fname;
filename = ss.str();
i++;
}
outfile.open(filename.c_str(), ios::trunc);
char filename[50];
sprintf(filename, "%s/%s", out_dir.c_str(), fname);
int i = 1;
while ((access(filename, F_OK)) != -1)
{
sprintf(filename, "%s/%d_%s", out_dir.c_str(), i, fname);
i++;
}
outfile.open(filename, ios::trunc);
time_t tnow;
time(&tnow);
@@ -109,17 +107,16 @@ monitor::monitor(const char fname[], int myrank, const int out_rank, string head
if (I_Print)
{
// considering checkpoint run
string filename = out_dir + "/" + fname;
int i = 1;
while ((access(filename.c_str(), F_OK)) != -1)
{
stringstream ss;
ss << out_dir << "/" << i << "_" << fname;
filename = ss.str();
i++;
}
outfile.open(filename.c_str(), ios::trunc);
char filename[50];
sprintf(filename, "%s/%s", out_dir.c_str(), fname);
int i = 1;
while ((access(filename, F_OK)) != -1)
{
sprintf(filename, "%s/%d_%s", out_dir.c_str(), i, fname);
i++;
}
outfile.open(filename, ios::trunc);
time_t tnow;
time(&tnow);

File diff suppressed because it is too large Load Diff

View File

@@ -20,14 +20,24 @@ using namespace std;
#include "cgh.h"
#include "ShellPatch.h"
#include "NullShellPatch.h"
#include "NullShellPatch2.h"
#include "var.h"
#include "monitor.h"
#include "NullShellPatch2.h"
#include "var.h"
#include "monitor.h"
#include <map>
class surface_integral
{
private:
struct SpherePointCache
{
double *pox[3];
SpherePointCache()
{
pox[0] = pox[1] = pox[2] = 0;
}
};
int Symmetry, factor;
int N_theta, N_phi; // Number of points in Theta & Phi directions
double dphi, dcostheta;
@@ -36,20 +46,21 @@ private:
double *nx_g, *ny_g, *nz_g; // global list of unit normals
int myrank, cpusize;
int wave_cache_spinw, wave_cache_maxl, wave_cache_modes;
double *wave_theta_pos, *wave_theta_neg;
double *wave_phi_cos, *wave_phi_sin;
void clear_wave_cache();
void build_wave_cache(int spinw, int maxl);
map<double, SpherePointCache> sphere_point_cache;
map<int, double *> shellf_cache;
void get_surface_points(double rex, double **pox);
double *get_shellf_buffer(int num_var);
void release_cached_buffers();
public:
surface_integral(int iSymmetry);
~surface_integral();
~surface_integral();
void surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *Ipsi4,
int spinw, int maxl, int NN, double *RP, double *IP,
monitor *Monitor); // NN is the length of RP and IP
// this routine can only deal with the symmetry of Psi4
void surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *Ipsi4,
int spinw, int maxl, int NN, double *RP, double *IP,
monitor *Monitor); // NN is the length of RP and IP
// this routine can only deal with the symmetry of Psi4
void surf_Wave(double rex, int lev, ShellPatch *GH, var *Rpsi4, var *Ipsi4,
int spinw, int maxl, int NN, double *RP, double *IP,
monitor *Monitor);
@@ -82,37 +93,21 @@ public:
double &, double &, double &, double &, double &, double &, double &,
double &, double &, double &, double &, double &, double &,
double &, double &)); // NN is the length of RP and IP
void surf_MassPAng(double rex, int lev, cgh *GH, var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
var *Gmx, var *Gmy, var *Gmz,
var *Sfx_rhs, var *Sfy_rhs, var *Sfz_rhs,
double *Rout, monitor *Monitor, bool refresh_mass_fields = true);
void surf_MassPAng(double rex, int lev, ShellPatch *GH, var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
var *Gmx, var *Gmy, var *Gmz,
var *Sfx_rhs, var *Sfy_rhs, var *Sfz_rhs,
double *Rout, monitor *Monitor, bool refresh_mass_fields = true);
void surf_WaveMassPAng(double rex, int lev, cgh *GH,
var *Rpsi4, var *Ipsi4, int spinw, int maxl, int NN, double *RP, double *IP,
var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
var *Gmx, var *Gmy, var *Gmz,
var *Sfx_rhs, var *Sfy_rhs, var *Sfz_rhs,
double *Rout, monitor *Monitor, bool refresh_mass_fields = true);
void surf_WaveMassPAng(double rex, int lev, ShellPatch *GH,
var *Rpsi4, var *Ipsi4, int spinw, int maxl, int NN, double *RP, double *IP,
var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
var *Gmx, var *Gmy, var *Gmz,
var *Sfx_rhs, var *Sfy_rhs, var *Sfz_rhs,
double *Rout, monitor *Monitor, bool refresh_mass_fields = true);
void surf_Wave(double rex, cgh *GH, ShellPatch *SH,
var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
void surf_MassPAng(double rex, int lev, cgh *GH, var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
var *Gmx, var *Gmy, var *Gmz,
var *Sfx_rhs, var *Sfy_rhs, var *Sfz_rhs,
double *Rout, monitor *Monitor);
void surf_MassPAng(double rex, int lev, ShellPatch *GH, var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
var *Gmx, var *Gmy, var *Gmz,
var *Sfx_rhs, var *Sfy_rhs, var *Sfz_rhs,
double *Rout, monitor *Monitor);
void surf_Wave(double rex, cgh *GH, ShellPatch *SH,
var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
var *chix, var *chiy, var *chiz,
var *trKx, var *trKy, var *trKz,
@@ -131,12 +126,12 @@ public:
bool SR_Interp_Points(MyList<var> *VarList, cgh *GH, ShellPatch *SH,
int NN, double **XX, double *Shellf);
void surf_MassPAng(double rex, int lev, cgh *GH, var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
var *Gmx, var *Gmy, var *Gmz,
var *Sfx_rhs, var *Sfy_rhs, var *Sfz_rhs, // temparay memory for mass^i
double *Rout, monitor *Monitor, MPI_Comm Comm_here, bool refresh_mass_fields = true);
void surf_MassPAng(double rex, int lev, cgh *GH, var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
var *Gmx, var *Gmy, var *Gmz,
var *Sfx_rhs, var *Sfy_rhs, var *Sfz_rhs, // temparay memory for mass^i
double *Rout, monitor *Monitor, MPI_Comm Comm_here);
void surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *Ipsi4,
int spinw, int maxl, int NN, double *RP, double *IP,
monitor *Monitor, MPI_Comm Comm_here);

View File

@@ -1,725 +0,0 @@
#include "macrodef.h"
#include "bssn_rhs.h"
#include "fmisc.h"
#include "ricci_gamma.h"
#include "share_func.h"
#include "tool.h"
#include <vector>
#ifdef fortran1
#define f_constraint_bssn constraint_bssn
#define f_z4c_rhs_point z4c_rhs_point
#endif
#ifdef fortran2
#define f_constraint_bssn CONSTRAINT_BSSN
#define f_z4c_rhs_point Z4C_RHS_POINT
#endif
#ifdef fortran3
#define f_constraint_bssn constraint_bssn_
#define f_z4c_rhs_point z4c_rhs_point_
#endif
extern "C" void f_constraint_bssn(int *, double *, double *, double *,
double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *,
double *, double *, double *, double *, double *, double *, double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *, double *, double *,
double *, double *, double *,
int &);
extern "C" void f_z4c_rhs_point(
double &A11,
double &A12,
double &A13,
double &A22,
double &A23,
double &A33,
double &alpha,
double &B1,
double &B2,
double &B3,
double &beta1,
double &beta2,
double &beta3,
double &chi,
double &chiDivFloor,
double &da1,
double &dA111,
double &dA112,
double &dA113,
double &dA122,
double &dA123,
double &dA133,
double &da2,
double &dA211,
double &dA212,
double &dA213,
double &dA222,
double &dA223,
double &dA233,
double &da3,
double &dA311,
double &dA312,
double &dA313,
double &dA322,
double &dA323,
double &dA333,
double &db11,
double &dB11,
double &db12,
double &dB12,
double &db13,
double &dB13,
double &db21,
double &dB21,
double &db22,
double &dB22,
double &db23,
double &dB23,
double &db31,
double &dB31,
double &db32,
double &dB32,
double &db33,
double &dB33,
double &dchi1,
double &dchi2,
double &dchi3,
double &dda11,
double &dda12,
double &dda13,
double &dda22,
double &dda23,
double &dda33,
double &ddb111,
double &ddb112,
double &ddb113,
double &ddb121,
double &ddb122,
double &ddb123,
double &ddb131,
double &ddb132,
double &ddb133,
double &ddb221,
double &ddb222,
double &ddb223,
double &ddb231,
double &ddb232,
double &ddb233,
double &ddb331,
double &ddb332,
double &ddb333,
double &ddchi11,
double &ddchi12,
double &ddchi13,
double &ddchi22,
double &ddchi23,
double &ddchi33,
double &deldelg1111,
double &deldelg1112,
double &deldelg1113,
double &deldelg1122,
double &deldelg1123,
double &deldelg1133,
double &deldelg1211,
double &deldelg1212,
double &deldelg1213,
double &deldelg1222,
double &deldelg1223,
double &deldelg1233,
double &deldelg1311,
double &deldelg1312,
double &deldelg1313,
double &deldelg1322,
double &deldelg1323,
double &deldelg1333,
double &deldelg2211,
double &deldelg2212,
double &deldelg2213,
double &deldelg2222,
double &deldelg2223,
double &deldelg2233,
double &deldelg2311,
double &deldelg2312,
double &deldelg2313,
double &deldelg2322,
double &deldelg2323,
double &deldelg2333,
double &deldelg3311,
double &deldelg3312,
double &deldelg3313,
double &deldelg3322,
double &deldelg3323,
double &deldelg3333,
double &delG11,
double &delg111,
double &delg112,
double &delg113,
double &delG12,
double &delg122,
double &delg123,
double &delG13,
double &delg133,
double &delG21,
double &delg211,
double &delg212,
double &delg213,
double &delG22,
double &delg222,
double &delg223,
double &delG23,
double &delg233,
double &delG31,
double &delg311,
double &delg312,
double &delg313,
double &delG32,
double &delg322,
double &delg323,
double &delG33,
double &delg333,
double &dKhat1,
double &dKhat2,
double &dKhat3,
double &dTheta1,
double &dTheta2,
double &dTheta3,
double &G1,
double &g11,
double &g12,
double &g13,
double &G2,
double &g22,
double &g23,
double &G3,
double &g33,
double &kappa1,
double &kappa2,
double &Khat,
double &rA11,
double &rA12,
double &rA13,
double &rA22,
double &rA23,
double &rA33,
double &rchi,
double &rG1,
double &rg11,
double &rg12,
double &rg13,
double &rG2,
double &rg22,
double &rg23,
double &rG3,
double &rg33,
double &rKhat,
double &rTheta,
double &Theta);
static inline void z4c_contract_gamma(
const double gxx, const double gxy, const double gxz,
const double gyy, const double gyz, const double gzz,
const double gxxx, const double gxyx, const double gxzx,
const double gyyx, const double gyzx, const double gzzx,
const double gxxy, const double gxyy, const double gxzy,
const double gyyy, const double gyzy, const double gzzy,
const double gxxz, const double gxyz, const double gxzz,
const double gyyz, const double gyzz, const double gzzz,
double &Gamxa, double &Gamya, double &Gamza)
{
double det = gxx * gyy * gzz + gxy * gyz * gxz + gxz * gxy * gyz -
gxz * gyy * gxz - gxy * gxy * gzz - gxx * gyz * gyz;
const double gupxx = (gyy * gzz - gyz * gyz) / det;
const double gupxy = -(gxy * gzz - gyz * gxz) / det;
const double gupxz = (gxy * gyz - gyy * gxz) / det;
const double gupyy = (gxx * gzz - gxz * gxz) / det;
const double gupyz = -(gxx * gyz - gxy * gxz) / det;
const double gupzz = (gxx * gyy - gxy * gxy) / det;
const double Gamxxx = 0.5 * (gupxx * gxxx + gupxy * (2.0 * gxyx - gxxy) + gupxz * (2.0 * gxzx - gxxz));
const double Gamyxx = 0.5 * (gupxy * gxxx + gupyy * (2.0 * gxyx - gxxy) + gupyz * (2.0 * gxzx - gxxz));
const double Gamzxx = 0.5 * (gupxz * gxxx + gupyz * (2.0 * gxyx - gxxy) + gupzz * (2.0 * gxzx - gxxz));
const double Gamxyy = 0.5 * (gupxx * (2.0 * gxyy - gyyx) + gupxy * gyyy + gupxz * (2.0 * gyzy - gyyz));
const double Gamyyy = 0.5 * (gupxy * (2.0 * gxyy - gyyx) + gupyy * gyyy + gupyz * (2.0 * gyzy - gyyz));
const double Gamzyy = 0.5 * (gupxz * (2.0 * gxyy - gyyx) + gupyz * gyyy + gupzz * (2.0 * gyzy - gyyz));
const double Gamxzz = 0.5 * (gupxx * (2.0 * gxzz - gzzx) + gupxy * (2.0 * gyzz - gzzy) + gupxz * gzzz);
const double Gamyzz = 0.5 * (gupxy * (2.0 * gxzz - gzzx) + gupyy * (2.0 * gyzz - gzzy) + gupyz * gzzz);
const double Gamzzz = 0.5 * (gupxz * (2.0 * gxzz - gzzx) + gupyz * (2.0 * gyzz - gzzy) + gupzz * gzzz);
const double Gamxxy = 0.5 * (gupxx * gxxy + gupxy * gyyx + gupxz * (gxzy + gyzx - gxyz));
const double Gamyxy = 0.5 * (gupxy * gxxy + gupyy * gyyx + gupyz * (gxzy + gyzx - gxyz));
const double Gamzxy = 0.5 * (gupxz * gxxy + gupyz * gyyx + gupzz * (gxzy + gyzx - gxyz));
const double Gamxxz = 0.5 * (gupxx * gxxz + gupxy * (gxyz + gyzx - gxzy) + gupxz * gzzx);
const double Gamyxz = 0.5 * (gupxy * gxxz + gupyy * (gxyz + gyzx - gxzy) + gupyz * gzzx);
const double Gamzxz = 0.5 * (gupxz * gxxz + gupyz * (gxyz + gyzx - gxzy) + gupzz * gzzx);
const double Gamxyz = 0.5 * (gupxx * (gxyz + gxzy - gyzx) + gupxy * gyyz + gupxz * gzzy);
const double Gamyyz = 0.5 * (gupxy * (gxyz + gxzy - gyzx) + gupyy * gyyz + gupyz * gzzy);
const double Gamzyz = 0.5 * (gupxz * (gxyz + gxzy - gyzx) + gupyz * gyyz + gupzz * gzzy);
Gamxa = gupxx * Gamxxx + gupyy * Gamxyy + gupzz * Gamxzz +
2.0 * (gupxy * Gamxxy + gupxz * Gamxxz + gupyz * Gamxyz);
Gamya = gupxx * Gamyxx + gupyy * Gamyyy + gupzz * Gamyzz +
2.0 * (gupxy * Gamyxy + gupxz * Gamyxz + gupyz * Gamyyz);
Gamza = gupxx * Gamzxx + gupyy * Gamzyy + gupzz * Gamzzz +
2.0 * (gupxy * Gamzxy + gupxz * Gamzxz + gupyz * Gamzyz);
}
static int compute_rhs_z4c_cartesian(
int *ex, double &T, double *X, double *Y, double *Z,
double *chi_state, double *chi_constraints, double *trK,
double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz,
double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz,
double *Gamx, double *Gamy, double *Gamz,
double *Lap, double *betax, double *betay, double *betaz,
double *dtSfx, double *dtSfy, double *dtSfz,
double *TZ,
double *chi_rhs, double *trK_rhs,
double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs,
double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs,
double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs,
double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs,
double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs,
double *TZ_rhs,
double *rho, double *Sx, double *Sy, double *Sz,
double *Sxx, double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz,
double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz,
double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz,
double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz,
double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz,
double *Hcon, double *Mxcon, double *Mycon, double *Mzcon, double *Gmxcon, double *Gmycon, double *Gmzcon,
int &Symmetry, int &Lev, double &eps, int &co)
{
(void)T;
const int nx = ex[0];
const int ny = ex[1];
const int nz = ex[2];
const int all = nx * ny * nz;
double alpn1[all], chin1[all], gxx[all], gyy[all], gzz[all];
double chix[all], chiy[all], chiz[all], chixx[all], chixy[all], chixz[all], chiyy[all], chiyz[all], chizz[all];
double gxxx[all], gxyx[all], gxzx[all], gyyx[all], gyzx[all], gzzx[all];
double gxxy[all], gxyy[all], gxzy[all], gyyy[all], gyzy[all], gzzy[all];
double gxxz[all], gxyz[all], gxzz[all], gyyz[all], gyzz[all], gzzz[all];
double gxxxx[all], gxxxy[all], gxxxz[all], gxxyy[all], gxxyz[all], gxxzz[all];
double gxyxx[all], gxyxy[all], gxyxz[all], gxyyy[all], gxyyz[all], gxyzz[all];
double gxzxx[all], gxzxy[all], gxzxz[all], gxzyy[all], gxzyz[all], gxzzz[all];
double gyyxx[all], gyyxy[all], gyyxz[all], gyyyy[all], gyyyz[all], gyyzz[all];
double gyzxx[all], gyzxy[all], gyzxz[all], gyzyy[all], gyzyz[all], gyzzz[all];
double gzzxx[all], gzzxy[all], gzzxz[all], gzzyy[all], gzzyz[all], gzzzz[all];
double Lapx[all], Lapy[all], Lapz[all], Lapxx[all], Lapxy[all], Lapxz[all], Lapyy[all], Lapyz[all], Lapzz[all];
double betaxx[all], betaxy[all], betaxz[all], betayx[all], betayy[all], betayz[all], betazx[all], betazy[all], betazz[all];
double dBxx[all], dBxy[all], dBxz[all], dByx[all], dByy[all], dByz[all], dBzx[all], dBzy[all], dBzz[all];
double sfxxx[all], sfxxy[all], sfxxz[all], sfxyy[all], sfxyz[all], sfxzz[all];
double sfyxx[all], sfyxy[all], sfyxz[all], sfyyy[all], sfyyz[all], sfyzz[all];
double sfzxx[all], sfzxy[all], sfzxz[all], sfzyy[all], sfzyz[all], sfzzz[all];
double Gamxx[all], Gamxy[all], Gamxz[all], Gamyx[all], Gamyy[all], Gamyz[all], Gamzx[all], Gamzy[all], Gamzz[all];
double Kx[all], Ky[all], Kz[all], TZx[all], TZy[all], TZz[all];
double Axxx[all], Axxy[all], Axxz[all], Axyx[all], Axyy[all], Axyz[all];
double Axzx[all], Axzy[all], Axzz[all], Ayyx[all], Ayyy[all], Ayyz[all];
double Ayzx[all], Ayzy[all], Ayzz[all], Azzx[all], Azzy[all], Azzz[all];
const double SSS[3] = {1.0, 1.0, 1.0};
const double AAS[3] = {-1.0, -1.0, 1.0};
const double ASA[3] = {-1.0, 1.0, -1.0};
const double SAA[3] = {1.0, -1.0, -1.0};
const double ASS[3] = {-1.0, 1.0, 1.0};
const double SAS[3] = {1.0, -1.0, 1.0};
const double SSA[3] = {1.0, 1.0, -1.0};
const double ONE = 1.0;
const double TWO = 2.0;
const double ZEO = 0.0;
double chiDivfloor = 1.0e-5;
double kappa1 = 2.0e-2;
double kappa2 = 0.0;
double FF = 0.75;
double eta = 2.0;
for (int idx = 0; idx < all; ++idx)
{
alpn1[idx] = Lap[idx] + ONE;
chin1[idx] = chi_state[idx] + ONE;
gxx[idx] = dxx[idx] + ONE;
gyy[idx] = dyy[idx] + ONE;
gzz[idx] = dzz[idx] + ONE;
}
fderivs(ex, betax, betaxx, betaxy, betaxz, X, Y, Z, -1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, betay, betayx, betayy, betayz, X, Y, Z, 1.0, -1.0, 1.0, Symmetry, Lev);
fderivs(ex, betaz, betazx, betazy, betazz, X, Y, Z, 1.0, 1.0, -1.0, Symmetry, Lev);
fderivs(ex, dtSfx, dBxx, dBxy, dBxz, X, Y, Z, -1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, dtSfy, dByx, dByy, dByz, X, Y, Z, 1.0, -1.0, 1.0, Symmetry, Lev);
fderivs(ex, dtSfz, dBzx, dBzy, dBzz, X, Y, Z, 1.0, 1.0, -1.0, Symmetry, Lev);
fderivs(ex, chi_state, chix, chiy, chiz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, dxx, gxxx, gxxy, gxxz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, gxy, gxyx, gxyy, gxyz, X, Y, Z, -1.0, -1.0, 1.0, Symmetry, Lev);
fderivs(ex, gxz, gxzx, gxzy, gxzz, X, Y, Z, -1.0, 1.0, -1.0, Symmetry, Lev);
fderivs(ex, dyy, gyyx, gyyy, gyyz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, gyz, gyzx, gyzy, gyzz, X, Y, Z, 1.0, -1.0, -1.0, Symmetry, Lev);
fderivs(ex, dzz, gzzx, gzzy, gzzz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fdderivs(ex, dxx, gxxxx, gxxxy, gxxxz, gxxyy, gxxyz, gxxzz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fdderivs(ex, dyy, gyyxx, gyyxy, gyyxz, gyyyy, gyyyz, gyyzz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fdderivs(ex, dzz, gzzxx, gzzxy, gzzxz, gzzyy, gzzyz, gzzzz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fdderivs(ex, gxy, gxyxx, gxyxy, gxyxz, gxyyy, gxyyz, gxyzz, X, Y, Z, -1.0, -1.0, 1.0, Symmetry, Lev);
fdderivs(ex, gxz, gxzxx, gxzxy, gxzxz, gxzyy, gxzyz, gxzzz, X, Y, Z, -1.0, 1.0, -1.0, Symmetry, Lev);
fdderivs(ex, gyz, gyzxx, gyzxy, gyzxz, gyzyy, gyzyz, gyzzz, X, Y, Z, 1.0, -1.0, -1.0, Symmetry, Lev);
fderivs(ex, Gamx, Gamxx, Gamxy, Gamxz, X, Y, Z, -1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, Gamy, Gamyx, Gamyy, Gamyz, X, Y, Z, 1.0, -1.0, 1.0, Symmetry, Lev);
fderivs(ex, Gamz, Gamzx, Gamzy, Gamzz, X, Y, Z, 1.0, 1.0, -1.0, Symmetry, Lev);
fderivs(ex, Lap, Lapx, Lapy, Lapz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, trK, Kx, Ky, Kz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, TZ, TZx, TZy, TZz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fdderivs(ex, betax, sfxxx, sfxxy, sfxxz, sfxyy, sfxyz, sfxzz, X, Y, Z, -1.0, 1.0, 1.0, Symmetry, Lev);
fdderivs(ex, betay, sfyxx, sfyxy, sfyxz, sfyyy, sfyyz, sfyzz, X, Y, Z, 1.0, -1.0, 1.0, Symmetry, Lev);
fdderivs(ex, betaz, sfzxx, sfzxy, sfzxz, sfzyy, sfzyz, sfzzz, X, Y, Z, 1.0, 1.0, -1.0, Symmetry, Lev);
fdderivs(ex, chi_state, chixx, chixy, chixz, chiyy, chiyz, chizz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fdderivs(ex, Lap, Lapxx, Lapxy, Lapxz, Lapyy, Lapyz, Lapzz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, Axx, Axxx, Axxy, Axxz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, Axy, Axyx, Axyy, Axyz, X, Y, Z, -1.0, -1.0, 1.0, Symmetry, Lev);
fderivs(ex, Axz, Axzx, Axzy, Axzz, X, Y, Z, -1.0, 1.0, -1.0, Symmetry, Lev);
fderivs(ex, Ayy, Ayyx, Ayyy, Ayyz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, Ayz, Ayzx, Ayzy, Ayzz, X, Y, Z, 1.0, -1.0, -1.0, Symmetry, Lev);
fderivs(ex, Azz, Azzx, Azzy, Azzz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
for (int idx = 0; idx < all; ++idx)
{
double point_kappa1 = 0.0;
f_z4c_rhs_point(
Axx[idx], Axy[idx], Axz[idx], Ayy[idx], Ayz[idx], Azz[idx],
alpn1[idx], dtSfx[idx], dtSfy[idx], dtSfz[idx],
betax[idx], betay[idx], betaz[idx],
chin1[idx], chiDivfloor,
Lapx[idx],
Axxx[idx], Axyx[idx], Axzx[idx], Ayyx[idx], Ayzx[idx], Azzx[idx],
Lapy[idx],
Axxy[idx], Axyy[idx], Axzy[idx], Ayyy[idx], Ayzy[idx], Azzy[idx],
Lapz[idx],
Axxz[idx], Axyz[idx], Axzz[idx], Ayyz[idx], Ayzz[idx], Azzz[idx],
betaxx[idx], dBxx[idx], betayx[idx], dByx[idx], betazx[idx], dBzx[idx],
betaxy[idx], dBxy[idx], betayy[idx], dByy[idx], betazy[idx], dBzy[idx],
betaxz[idx], dBxz[idx], betayz[idx], dByz[idx], betazz[idx], dBzz[idx],
chix[idx], chiy[idx], chiz[idx],
Lapxx[idx], Lapxy[idx], Lapxz[idx], Lapyy[idx], Lapyz[idx], Lapzz[idx],
sfxxx[idx], sfyxx[idx], sfzxx[idx],
sfxxy[idx], sfyxy[idx], sfzxy[idx],
sfxxz[idx], sfyxz[idx], sfzxz[idx],
sfxyy[idx], sfyyy[idx], sfzyy[idx],
sfxyz[idx], sfyyz[idx], sfzyz[idx],
sfxzz[idx], sfyzz[idx], sfzzz[idx],
chixx[idx], chixy[idx], chixz[idx], chiyy[idx], chiyz[idx], chizz[idx],
gxxxx[idx], gxyxx[idx], gxzxx[idx], gyyxx[idx], gyzxx[idx], gzzxx[idx],
gxxxy[idx], gxyxy[idx], gxzxy[idx], gyyxy[idx], gyzxy[idx], gzzxy[idx],
gxxxz[idx], gxyxz[idx], gxzxz[idx], gyyxz[idx], gyzxz[idx], gzzxz[idx],
gxxyy[idx], gxyyy[idx], gxzyy[idx], gyyyy[idx], gyzyy[idx], gzzyy[idx],
gxxyz[idx], gxyyz[idx], gxzyz[idx], gyyyz[idx], gyzyz[idx], gzzyz[idx],
gxxzz[idx], gxyzz[idx], gxzzz[idx], gyyzz[idx], gyzzz[idx], gzzzz[idx],
Gamxx[idx], gxxx[idx], gxyx[idx], gxzx[idx],
Gamyx[idx], gyyx[idx], gyzx[idx],
Gamzx[idx], gzzx[idx],
Gamxy[idx], gxxy[idx], gxyy[idx], gxzy[idx],
Gamyy[idx], gyyy[idx], gyzy[idx],
Gamzy[idx], gzzy[idx],
Gamxz[idx], gxxz[idx], gxyz[idx], gxzz[idx],
Gamyz[idx], gyyz[idx], gyzz[idx],
Gamzz[idx], gzzz[idx],
Kx[idx], Ky[idx], Kz[idx],
TZx[idx], TZy[idx], TZz[idx],
Gamx[idx], gxx[idx], gxy[idx], gxz[idx],
Gamy[idx], gyy[idx], gyz[idx],
Gamz[idx], gzz[idx],
point_kappa1, kappa2,
trK[idx],
Axx_rhs[idx], Axy_rhs[idx], Axz_rhs[idx], Ayy_rhs[idx], Ayz_rhs[idx], Azz_rhs[idx],
chi_rhs[idx],
Gamx_rhs[idx], gxx_rhs[idx], gxy_rhs[idx], gxz_rhs[idx],
Gamy_rhs[idx], gyy_rhs[idx], gyz_rhs[idx],
Gamz_rhs[idx], gzz_rhs[idx], trK_rhs[idx], TZ_rhs[idx], TZ[idx]);
}
for (int idx = 0; idx < all; ++idx)
Lap_rhs[idx] = -TWO * alpn1[idx] * trK[idx];
#if (GAUGE == 0)
for (int idx = 0; idx < all; ++idx)
{
betax_rhs[idx] = FF * dtSfx[idx];
betay_rhs[idx] = FF * dtSfy[idx];
betaz_rhs[idx] = FF * dtSfz[idx];
dtSfx_rhs[idx] = Gamx_rhs[idx] - eta * dtSfx[idx];
dtSfy_rhs[idx] = Gamy_rhs[idx] - eta * dtSfy[idx];
dtSfz_rhs[idx] = Gamz_rhs[idx] - eta * dtSfz[idx];
}
#elif (GAUGE == 1)
for (int idx = 0; idx < all; ++idx)
{
betax_rhs[idx] = Gamx[idx] - eta * betax[idx];
betay_rhs[idx] = Gamy[idx] - eta * betay[idx];
betaz_rhs[idx] = Gamz[idx] - eta * betaz[idx];
dtSfx_rhs[idx] = ZEO;
dtSfy_rhs[idx] = ZEO;
dtSfz_rhs[idx] = ZEO;
}
#else
#error "z4c_rhs_c.C currently supports GAUGE == 0 or GAUGE == 1 for Z4C"
#endif
lopsided(ex, X, Y, Z, gxx, gxx_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, gxy, gxy_rhs, betax, betay, betaz, Symmetry, AAS);
lopsided(ex, X, Y, Z, gxz, gxz_rhs, betax, betay, betaz, Symmetry, ASA);
lopsided(ex, X, Y, Z, gyy, gyy_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, gyz, gyz_rhs, betax, betay, betaz, Symmetry, SAA);
lopsided(ex, X, Y, Z, gzz, gzz_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, Axx, Axx_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, Axy, Axy_rhs, betax, betay, betaz, Symmetry, AAS);
lopsided(ex, X, Y, Z, Axz, Axz_rhs, betax, betay, betaz, Symmetry, ASA);
lopsided(ex, X, Y, Z, Ayy, Ayy_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, Ayz, Ayz_rhs, betax, betay, betaz, Symmetry, SAA);
lopsided(ex, X, Y, Z, Azz, Azz_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, chi_state, chi_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, trK, trK_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, Gamx, Gamx_rhs, betax, betay, betaz, Symmetry, ASS);
lopsided(ex, X, Y, Z, Gamy, Gamy_rhs, betax, betay, betaz, Symmetry, SAS);
lopsided(ex, X, Y, Z, Gamz, Gamz_rhs, betax, betay, betaz, Symmetry, SSA);
lopsided(ex, X, Y, Z, Lap, Lap_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, betax, betax_rhs, betax, betay, betaz, Symmetry, ASS);
lopsided(ex, X, Y, Z, betay, betay_rhs, betax, betay, betaz, Symmetry, SAS);
lopsided(ex, X, Y, Z, betaz, betaz_rhs, betax, betay, betaz, Symmetry, SSA);
#if (GAUGE == 0)
lopsided(ex, X, Y, Z, dtSfx, dtSfx_rhs, betax, betay, betaz, Symmetry, ASS);
lopsided(ex, X, Y, Z, dtSfy, dtSfy_rhs, betax, betay, betaz, Symmetry, SAS);
lopsided(ex, X, Y, Z, dtSfz, dtSfz_rhs, betax, betay, betaz, Symmetry, SSA);
#endif
lopsided(ex, X, Y, Z, TZ, TZ_rhs, betax, betay, betaz, Symmetry, SSS);
for (int idx = 0; idx < all; ++idx)
{
double Gamxa = 0.0, Gamya = 0.0, Gamza = 0.0;
z4c_contract_gamma(
gxx[idx], gxy[idx], gxz[idx], gyy[idx], gyz[idx], gzz[idx],
gxxx[idx], gxyx[idx], gxzx[idx], gyyx[idx], gyzx[idx], gzzx[idx],
gxxy[idx], gxyy[idx], gxzy[idx], gyyy[idx], gyzy[idx], gzzy[idx],
gxxz[idx], gxyz[idx], gxzz[idx], gyyz[idx], gyzz[idx], gzzz[idx],
Gamxa, Gamya, Gamza);
TZ_rhs[idx] -= alpn1[idx] * (TWO + kappa2) * kappa1 * TZ[idx];
trK_rhs[idx] += alpn1[idx] * kappa1 * (ONE - kappa2) * TZ[idx];
Gamx_rhs[idx] -= TWO * alpn1[idx] * kappa1 * (Gamx[idx] - Gamxa);
Gamy_rhs[idx] -= TWO * alpn1[idx] * kappa1 * (Gamy[idx] - Gamya);
Gamz_rhs[idx] -= TWO * alpn1[idx] * kappa1 * (Gamz[idx] - Gamza);
}
if (eps > 0.0)
{
kodis(ex, X, Y, Z, chi_state, chi_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, trK, trK_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, gxx, gxx_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, gxy, gxy_rhs, AAS, Symmetry, eps);
kodis(ex, X, Y, Z, gxz, gxz_rhs, ASA, Symmetry, eps);
kodis(ex, X, Y, Z, gyy, gyy_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, gyz, gyz_rhs, SAA, Symmetry, eps);
kodis(ex, X, Y, Z, gzz, gzz_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, Axx, Axx_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, Axy, Axy_rhs, AAS, Symmetry, eps);
kodis(ex, X, Y, Z, Axz, Axz_rhs, ASA, Symmetry, eps);
kodis(ex, X, Y, Z, Ayy, Ayy_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, Ayz, Ayz_rhs, SAA, Symmetry, eps);
kodis(ex, X, Y, Z, Azz, Azz_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, Gamx, Gamx_rhs, ASS, Symmetry, eps);
kodis(ex, X, Y, Z, Gamy, Gamy_rhs, SAS, Symmetry, eps);
kodis(ex, X, Y, Z, Gamz, Gamz_rhs, SSA, Symmetry, eps);
kodis(ex, X, Y, Z, Lap, Lap_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, betax, betax_rhs, ASS, Symmetry, eps);
kodis(ex, X, Y, Z, betay, betay_rhs, SAS, Symmetry, eps);
kodis(ex, X, Y, Z, betaz, betaz_rhs, SSA, Symmetry, eps);
#if (GAUGE == 0)
kodis(ex, X, Y, Z, dtSfx, dtSfx_rhs, ASS, Symmetry, eps);
kodis(ex, X, Y, Z, dtSfy, dtSfy_rhs, SAS, Symmetry, eps);
kodis(ex, X, Y, Z, dtSfz, dtSfz_rhs, SSA, Symmetry, eps);
#endif
kodis(ex, X, Y, Z, TZ, TZ_rhs, SSS, Symmetry, eps);
}
if (co == 0)
{
#if (ABV == 0)
f_ricci_gamma(ex, X, Y, Z,
chi_constraints,
dxx, gxy, gxz, dyy, gyz, dzz,
Gamx, Gamy, Gamz,
Gamxxx, Gamxxy, Gamxxz, Gamxyy, Gamxyz, Gamxzz,
Gamyxx, Gamyxy, Gamyxz, Gamyyy, Gamyyz, Gamyzz,
Gamzxx, Gamzxy, Gamzxz, Gamzyy, Gamzyz, Gamzzz,
Rxx, Rxy, Rxz, Ryy, Ryz, Rzz,
Symmetry);
#endif
f_constraint_bssn(ex, X, Y, Z,
chi_constraints, trK,
dxx, gxy, gxz, dyy, gyz, dzz,
Axx, Axy, Axz, Ayy, Ayz, Azz,
Gamx, Gamy, Gamz,
Lap, betax, betay, betaz, rho, Sx, Sy, Sz,
Gamxxx, Gamxxy, Gamxxz, Gamxyy, Gamxyz, Gamxzz,
Gamyxx, Gamyxy, Gamyxz, Gamyyy, Gamyyz, Gamyzz,
Gamzxx, Gamzxy, Gamzxz, Gamzyy, Gamzyz, Gamzzz,
Rxx, Rxy, Rxz, Ryy, Ryz, Rzz,
Hcon, Mxcon, Mycon, Mzcon, Gmxcon, Gmycon, Gmzcon,
Symmetry);
}
return 0;
}
extern "C" int f_compute_rhs_Z4c(int *ex, double &T,
double *X, double *Y, double *Z,
double *chi, double *trK,
double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz,
double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz,
double *Gamx, double *Gamy, double *Gamz,
double *Lap, double *betax, double *betay, double *betaz,
double *dtSfx, double *dtSfy, double *dtSfz,
double *TZ,
double *chi_rhs, double *trK_rhs,
double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs,
double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs,
double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs,
double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs,
double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs,
double *TZ_rhs,
double *rho, double *Sx, double *Sy, double *Sz,
double *Sxx, double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz,
double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz,
double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz,
double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz,
double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz,
double *Hcon, double *Mxcon, double *Mycon, double *Mzcon, double *Gmxcon, double *Gmycon, double *Gmzcon,
int &Symmetry, int &Lev, double &eps, int &co)
{
return compute_rhs_z4c_cartesian(
ex, T, X, Y, Z,
chi, chi, trK,
dxx, gxy, gxz, dyy, gyz, dzz,
Axx, Axy, Axz, Ayy, Ayz, Azz,
Gamx, Gamy, Gamz,
Lap, betax, betay, betaz,
dtSfx, dtSfy, dtSfz,
TZ,
chi_rhs, trK_rhs,
gxx_rhs, gxy_rhs, gxz_rhs, gyy_rhs, gyz_rhs, gzz_rhs,
Axx_rhs, Axy_rhs, Axz_rhs, Ayy_rhs, Ayz_rhs, Azz_rhs,
Gamx_rhs, Gamy_rhs, Gamz_rhs,
Lap_rhs, betax_rhs, betay_rhs, betaz_rhs,
dtSfx_rhs, dtSfy_rhs, dtSfz_rhs,
TZ_rhs,
rho, Sx, Sy, Sz,
Sxx, Sxy, Sxz, Syy, Syz, Szz,
Gamxxx, Gamxxy, Gamxxz, Gamxyy, Gamxyz, Gamxzz,
Gamyxx, Gamyxy, Gamyxz, Gamyyy, Gamyyz, Gamyzz,
Gamzxx, Gamzxy, Gamzxz, Gamzyy, Gamzyz, Gamzzz,
Rxx, Rxy, Rxz, Ryy, Ryz, Rzz,
Hcon, Mxcon, Mycon, Mzcon, Gmxcon, Gmycon, Gmzcon,
Symmetry, Lev, eps, co);
}
extern "C" int f_compute_rhs_Z4cnot(int *ex, double &T,
double *X, double *Y, double *Z,
double *chi, double *trK,
double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz,
double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz,
double *Gamx, double *Gamy, double *Gamz,
double *Lap, double *betax, double *betay, double *betaz,
double *dtSfx, double *dtSfy, double *dtSfz,
double *TZ,
double *chi_rhs, double *trK_rhs,
double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs,
double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs,
double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs,
double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs,
double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs,
double *TZ_rhs,
double *rho, double *Sx, double *Sy, double *Sz,
double *Sxx, double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz,
double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz,
double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz,
double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz,
double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz,
double *Hcon, double *Mxcon, double *Mycon, double *Mzcon, double *Gmxcon, double *Gmycon, double *Gmzcon,
int &Symmetry, int &Lev, double &eps, int &co, double &chitiny)
{
const int all = ex[0] * ex[1] * ex[2];
std::vector<double> chi_clamped(chi, chi + all);
f_lowerboundset(ex, chi_clamped.data(), chitiny);
const int ret = compute_rhs_z4c_cartesian(
ex, T, X, Y, Z,
chi_clamped.data(), chi, trK,
dxx, gxy, gxz, dyy, gyz, dzz,
Axx, Axy, Axz, Ayy, Ayz, Azz,
Gamx, Gamy, Gamz,
Lap, betax, betay, betaz,
dtSfx, dtSfy, dtSfz,
TZ,
chi_rhs, trK_rhs,
gxx_rhs, gxy_rhs, gxz_rhs, gyy_rhs, gyz_rhs, gzz_rhs,
Axx_rhs, Axy_rhs, Axz_rhs, Ayy_rhs, Ayz_rhs, Azz_rhs,
Gamx_rhs, Gamy_rhs, Gamz_rhs,
Lap_rhs, betax_rhs, betay_rhs, betaz_rhs,
dtSfx_rhs, dtSfy_rhs, dtSfz_rhs,
TZ_rhs,
rho, Sx, Sy, Sz,
Sxx, Sxy, Sxz, Syy, Syz, Szz,
Gamxxx, Gamxxy, Gamxxz, Gamxyy, Gamxyz, Gamxzz,
Gamyxx, Gamyxy, Gamyxz, Gamyyy, Gamyyz, Gamyzz,
Gamzxx, Gamzxy, Gamzxz, Gamzyy, Gamzyz, Gamzzz,
Rxx, Rxy, Rxz, Ryy, Ryz, Rzz,
Hcon, Mxcon, Mycon, Mzcon, Gmxcon, Gmycon, Gmzcon,
Symmetry, Lev, eps, co);
if (ret != 0 || co != 0)
return ret;
#if (ABV == 0)
f_ricci_gamma(ex, X, Y, Z,
chi,
dxx, gxy, gxz, dyy, gyz, dzz,
Gamx, Gamy, Gamz,
Gamxxx, Gamxxy, Gamxxz, Gamxyy, Gamxyz, Gamxzz,
Gamyxx, Gamyxy, Gamyxz, Gamyyy, Gamyyz, Gamyzz,
Gamzxx, Gamzxy, Gamzxz, Gamzyy, Gamzyz, Gamzzz,
Rxx, Rxy, Rxz, Ryy, Ryz, Rzz,
Symmetry);
#endif
f_constraint_bssn(ex, X, Y, Z,
chi, trK,
dxx, gxy, gxz, dyy, gyz, dzz,
Axx, Axy, Axz, Ayy, Ayz, Azz,
Gamx, Gamy, Gamz,
Lap, betax, betay, betaz, rho, Sx, Sy, Sz,
Gamxxx, Gamxxy, Gamxxz, Gamxyy, Gamxyz, Gamxzz,
Gamyxx, Gamyxy, Gamyxz, Gamyyy, Gamyyz, Gamyzz,
Gamzxx, Gamzxy, Gamzxz, Gamzyy, Gamzyz, Gamzzz,
Rxx, Rxy, Rxz, Ryy, Ryz, Rzz,
Hcon, Mxcon, Mycon, Mzcon, Gmxcon, Gmycon, Gmzcon,
Symmetry);
return ret;
}

File diff suppressed because it is too large Load Diff

View File

@@ -1,114 +0,0 @@
#ifndef Z4C_RHS_CUDA_H
#define Z4C_RHS_CUDA_H
#ifdef __cplusplus
extern "C" {
#endif
enum {
Z4C_CUDA_STATE_COUNT = 25
};
int z4c_cuda_rk4_substep(void *block_tag,
int *ex, double *X, double *Y, double *Z,
double **state_host_in,
double **state_host_out,
const double *propspeed,
const double *soa_flat,
const double *bbox,
double &dT,
double &T,
int &RK4,
int &apply_bam_bc,
int &Symmetry,
int &Lev,
double &eps,
int &co,
int &keep_resident_state,
int &apply_enforce_ga,
double &chitiny);
int z4c_cuda_download_resident_state(void *block_tag,
int *ex,
double **state_host_out);
int z4c_cuda_pack_state_region_to_host_buffer(void *block_tag,
int state_index,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int z4c_cuda_unpack_state_region_from_host_buffer(void *block_tag,
int state_index,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int z4c_cuda_pack_state_batch_to_host_buffer(void *block_tag,
int state_count,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int z4c_cuda_unpack_state_batch_from_host_buffer(void *block_tag,
int state_count,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int z4c_cuda_pack_state_batch_to_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int z4c_cuda_unpack_state_batch_from_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int z4c_cuda_restrict_state_batch_to_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int sx, int sy, int sz,
int fi0, int fj0, int fk0,
const double *state_soa);
int z4c_cuda_prolong_state_batch_to_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int sx, int sy, int sz,
int ii0, int jj0, int kk0,
int lbc_i, int lbc_j, int lbc_k,
const double *state_soa);
int z4c_cuda_download_state_subset(void *block_tag,
int *ex,
int subset_count,
const int *state_indices,
double **state_host_out);
int z4c_cuda_upload_state_subset(void *block_tag,
int *ex,
int subset_count,
const int *state_indices,
double **state_host_in);
int z4c_cuda_has_resident_state(void *block_tag);
void z4c_cuda_release_step_ctx(void *block_tag);
#ifdef __cplusplus
}
#endif
#endif

View File

@@ -144,67 +144,11 @@ def generate_macrodef_h():
print( "#define REGLEV 0", file=file1 )
print( file=file1 )
# Define fine-grained timing/debug macros.
# All of them default to OFF so production builds do not pay profiling overhead.
fine_timing = getattr(input_data, "Fine_Timing",
getattr(input_data, "Finegrained_Timing", "no"))
kernel_fine_timing = getattr(input_data, "Kernel_Fine_Timing",
getattr(input_data, "BSSN_Kernel_Fine_Timing", "no"))
stdin_abort_poll = getattr(input_data, "Enable_Stdin_Abort_Poll",
getattr(input_data, "Stdin_Abort_Poll", "no"))
timing_report_every = max(1, int(getattr(
input_data, "Timing_Every_Steps",
getattr(input_data, "Timing_Report_Every", 1))))
timing_top_hotspots = max(1, int(getattr(
input_data, "Timing_Top_Hotspots", 8)))
if ( fine_timing == "yes" ):
print( "#define BSSN_FINE_TIMING 1", file=file1 )
print( file=file1 )
elif ( fine_timing == "no" ):
print( "#define BSSN_FINE_TIMING 0", file=file1 )
print( file=file1 )
else:
print( "Fine_Timing setting error!!!" )
print()
print( "# Fine_Timing setting error!!!", file=file1 )
print( file=file1 )
print( f"#define BSSN_FINE_TIMING_EVERY {timing_report_every}", file=file1 )
print( file=file1 )
print( f"#define BSSN_FINE_TIMING_TOPN {timing_top_hotspots}", file=file1 )
print( file=file1 )
if ( kernel_fine_timing == "yes" ):
print( "#define BSSN_KERNEL_FINE_TIMING 1", file=file1 )
print( file=file1 )
elif ( kernel_fine_timing == "no" ):
print( "#define BSSN_KERNEL_FINE_TIMING 0", file=file1 )
print( file=file1 )
else:
print( "Kernel_Fine_Timing setting error!!!" )
print()
print( "# Kernel_Fine_Timing setting error!!!", file=file1 )
print( file=file1 )
if ( stdin_abort_poll == "yes" ):
print( "#define BSSN_ENABLE_STDIN_ABORT_POLL 1", file=file1 )
print( file=file1 )
elif ( stdin_abort_poll == "no" ):
print( "#define BSSN_ENABLE_STDIN_ABORT_POLL 0", file=file1 )
print( file=file1 )
else:
print( "Enable_Stdin_Abort_Poll setting error!!!" )
print()
print( "# Enable_Stdin_Abort_Poll setting error!!!", file=file1 )
print( file=file1 )
# Define macro USE_GPU
# use GPU or not
if ( input_data.GPU_Calculation == "yes"):
print( "//#define USE_GPU", file=file1 )
print( "#define USE_GPU", file=file1 )
print( file=file1 )
elif ( input_data.GPU_Calculation == "no"):
print( "//#define USE_GPU", file=file1 )
@@ -280,21 +224,6 @@ def generate_macrodef_h():
print( "// 0: for every level;", file=file1 )
print( "// 1: for all", file=file1 )
print( "//", file=file1 )
print( "// define BSSN_FINE_TIMING", file=file1 )
print( "// enable fine-grained per-timestep timing monitor", file=file1 )
print( "//", file=file1 )
print( "// define BSSN_FINE_TIMING_EVERY", file=file1 )
print( "// report timing every N coarse timesteps", file=file1 )
print( "//", file=file1 )
print( "// define BSSN_FINE_TIMING_TOPN", file=file1 )
print( "// number of hottest timing buckets shown in stdout", file=file1 )
print( "//", file=file1 )
print( "// define BSSN_KERNEL_FINE_TIMING", file=file1 )
print( "// enable split timing inside compute_rhs_bssn", file=file1 )
print( "//", file=file1 )
print( "// define BSSN_ENABLE_STDIN_ABORT_POLL", file=file1 )
print( "// poll stdin and broadcast abort flag every coarse step", file=file1 )
print( "//", file=file1 )
print( "// define USE_GPU", file=file1 )
print( "// use gpu or not", file=file1 )
print( "//", file=file1 )

View File

@@ -10,7 +10,6 @@
import AMSS_NCKU_Input as input_data
import os
import shutil
import subprocess
import time
@@ -58,195 +57,45 @@ BUILD_JOBS = 64
##################################################################
def _truthy(value, default=False):
if value is None:
return default
if isinstance(value, bool):
return value
text = str(value).strip().lower()
if text == "":
return default
return text in ("1", "yes", "y", "true", "on", "enable", "enabled")
##################################################################
def _input_or_env(input_name, env_name, default=None):
if env_name in os.environ:
return os.environ[env_name]
return getattr(input_data, input_name, default)
def prepare_gpu_runtime_env():
"""
Create a user-private CUDA MPS environment for GPU runs.
On shared machines another user's daemon may already occupy the default
/tmp/nvidia-mps pipe directory, which makes plain cudaSetDevice/cudaMalloc
fail with cudaErrorMpsConnectionFailed. Binding AMSS-NCKU to a private
pipe directory avoids cross-user interference.
"""
env = os.environ.copy()
def _input_env_passthrough(runtime_env, env_name):
if env_name in runtime_env:
return
if hasattr(input_data, env_name):
runtime_env[env_name] = str(getattr(input_data, env_name))
pipe_dir = env.get("CUDA_MPS_PIPE_DIRECTORY", f"/tmp/amss-ncku-mps-{os.getuid()}")
log_dir = env.get("CUDA_MPS_LOG_DIRECTORY", f"/tmp/amss-ncku-mps-log-{os.getuid()}")
def _start_cuda_mps_if_requested(runtime_env):
if input_data.GPU_Calculation != "yes":
return False
default_auto_mps = int(getattr(input_data, "MPI_processes", 1)) > 1
auto_mps = _truthy(
_input_or_env("CUDA_Auto_MPS", "AMSS_CUDA_AUTO_MPS", default_auto_mps),
default=default_auto_mps,
)
if not auto_mps:
return False
mps_control = shutil.which("nvidia-cuda-mps-control")
if not mps_control:
print(" CUDA MPS control command was not found; running without MPS.")
return False
uid = os.getuid()
pipe_dir = str(_input_or_env("CUDA_MPS_PIPE_DIRECTORY", "CUDA_MPS_PIPE_DIRECTORY",
f"/tmp/amss-ncku-mps-{uid}"))
log_dir = str(_input_or_env("CUDA_MPS_LOG_DIRECTORY", "CUDA_MPS_LOG_DIRECTORY",
f"/tmp/amss-ncku-mps-log-{uid}"))
os.makedirs(pipe_dir, exist_ok=True)
os.makedirs(log_dir, exist_ok=True)
mps_env = runtime_env.copy()
mps_env["CUDA_MPS_PIPE_DIRECTORY"] = pipe_dir
mps_env["CUDA_MPS_LOG_DIRECTORY"] = log_dir
env["CUDA_MPS_PIPE_DIRECTORY"] = pipe_dir
env["CUDA_MPS_LOG_DIRECTORY"] = log_dir
if os.path.exists(os.path.join(pipe_dir, "control")):
runtime_env.update({
"CUDA_MPS_PIPE_DIRECTORY": pipe_dir,
"CUDA_MPS_LOG_DIRECTORY": log_dir,
})
print(f" Reusing CUDA MPS daemon: {pipe_dir}")
return False
print(f" Starting CUDA MPS daemon for this run: {pipe_dir}")
result = subprocess.run([mps_control, "-d"], env=mps_env, text=True,
stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
if result.returncode != 0:
print(" CUDA MPS daemon did not start; running without MPS.")
if result.stdout:
print(result.stdout, end="")
return False
runtime_env.update({
"CUDA_MPS_PIPE_DIRECTORY": pipe_dir,
"CUDA_MPS_LOG_DIRECTORY": log_dir,
})
return True
def _stop_cuda_mps(runtime_env):
mps_control = shutil.which("nvidia-cuda-mps-control")
if not mps_control:
return
subprocess.run([mps_control], input="quit\n", env=runtime_env, text=True,
stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
def _gpu_runtime_env():
runtime_env = os.environ.copy()
finite_difference = str(getattr(input_data, "Finite_Diffenence_Method", "4th-order")).strip()
defaults = {
"AMSS_EVOLVE_TIMING": "1",
"AMSS_ESCALAR_STEP_TIMING": "0",
"AMSS_INTERP_FAST": "1",
"AMSS_INTERP_GPU": "1",
"AMSS_ANALYSIS_MAP_EVERY": "1000000",
"AMSS_CUDA_AWARE_MPI": "1",
"AMSS_CUDA_KEEP_RESIDENT_AFTER_STEP": "1",
"AMSS_CUDA_KEEP_ALL_LEVELS": "1",
"AMSS_CUDA_ESCALAR_KEEP_RESIDENT_AFTER_STEP": "1",
"AMSS_CUDA_ESCALAR_KEEP_ALL_LEVELS": "1",
"AMSS_CUDA_EM_CACHE_SOURCES": "1",
"AMSS_CUDA_EM_ZERO_FASTPATH": "1",
"AMSS_EM_ZERO_ANALYSIS_FASTPATH": "1",
"AMSS_EM_ZERO_RESIDENT_DOWNLOAD_FASTPATH": "1",
"AMSS_CUDA_AMR_HOST_STAGED": "1",
"AMSS_CUDA_AMR_RESTRICT_DEVICE": "0",
"AMSS_CUDA_AMR_RESTRICT_BATCH": "0",
"AMSS_CUDA_DEVICE_SEGMENT_BATCH": "0",
"AMSS_CUDA_UNCACHED_DEVICE_BUFFERS": "1",
"AMSS_SHELL_FAST_INTERP": "0",
"AMSS_SHELL_PARALLEL_INTERP": "0",
"AMSS_SHELL_CUDA_INTERP": "0",
}
if finite_difference in ("2nd-order", "8th-order"):
defaults.update({
"AMSS_INTERP_FAST": "0",
"AMSS_INTERP_GPU": "0",
"AMSS_CUDA_AWARE_MPI": "0",
})
if finite_difference == "8th-order" and getattr(input_data, "Equation_Class", "") == "BSSN-EM":
defaults.update({
"AMSS_CUDA_AMR_RESTRICT_DEVICE": "1",
"AMSS_CUDA_AMR_RESTRICT_BATCH": "1",
"AMSS_CUDA_DEVICE_SEGMENT_BATCH": "1",
})
if getattr(input_data, "basic_grid_set", "") == "Shell-Patch":
defaults.update({
"AMSS_CUDA_AWARE_MPI": "0",
"AMSS_SHELL_FAST_INTERP": "1",
"AMSS_SHELL_PARALLEL_INTERP": "1",
"AMSS_SHELL_INTERP_THREADS": "16",
})
if getattr(input_data, "Equation_Class", "") in ("BSSN", "BSSN-EScalar", "Z4C"):
defaults["AMSS_CUDA_AMR_RESTRICT_DEVICE"] = "1"
if getattr(input_data, "Equation_Class", "") == "Z4C":
defaults.update({
"AMSS_Z4C_CUDA_RESIDENT": "1",
"AMSS_CONSTRAINT_OUT_EVERY": "1000000",
})
for key, value in defaults.items():
runtime_env.setdefault(key, value)
passthrough_envs = [
"AMSS_CUDA_RESIDENT_SYNC",
"AMSS_CUDA_BSSN_RESIDENT_SYNC",
"AMSS_CUDA_EM_RESIDENT_SYNC",
"AMSS_CUDA_ESCALAR_RESIDENT_SYNC",
"AMSS_CUDA_BH_INTERP_RESIDENT",
"AMSS_CUDA_KEEP_RESIDENT_AFTER_STEP",
"AMSS_CUDA_KEEP_ALL_LEVELS",
"AMSS_CUDA_EM_KEEP_RESIDENT_AFTER_STEP",
"AMSS_CUDA_EM_KEEP_ALL_LEVELS",
"AMSS_CUDA_ESCALAR_KEEP_RESIDENT_AFTER_STEP",
"AMSS_CUDA_ESCALAR_KEEP_ALL_LEVELS",
"AMSS_CUDA_AMR_HOST_STAGED",
"AMSS_CUDA_AMR_RESTRICT_DEVICE",
"AMSS_CUDA_AMR_RESTRICT_BATCH",
"AMSS_CUDA_DEVICE_SEGMENT_BATCH",
"AMSS_CUDA_UNCACHED_DEVICE_BUFFERS",
"AMSS_CUDA_EM_CACHE_SOURCES",
"AMSS_CUDA_EM_ZERO_FASTPATH",
"AMSS_CUDA_AWARE_MPI",
"AMSS_CUDA_REGRID_FLUSH_ALWAYS",
"AMSS_Z4C_CUDA_RESIDENT",
"AMSS_SHELL_FAST_INTERP",
"AMSS_SHELL_PARALLEL_INTERP",
"AMSS_SHELL_CUDA_INTERP",
"AMSS_SHELL_INTERP_THREADS",
"AMSS_EM_ZERO_ANALYSIS_FASTPATH",
"AMSS_EM_ZERO_RESIDENT_DOWNLOAD_FASTPATH",
"AMSS_INTERP_FAST",
"AMSS_INTERP_GPU",
]
for env_name in passthrough_envs:
_input_env_passthrough(runtime_env, env_name)
optional_overrides = {
"AMSS_INTERP_FAST_COMPARE": "AMSS_Interp_Fast_Compare",
"AMSS_INTERP_FAST_COMPARE_LIMIT": "AMSS_Interp_Fast_Compare_Limit",
"AMSS_INTERP_FAST_COMPARE_TOL": "AMSS_Interp_Fast_Compare_Tol",
"AMSS_GPU_STAGE_TIMING": "AMSS_GPU_Stage_Timing",
"AMSS_GPU_STAGE_TIMING_EVERY": "AMSS_GPU_Stage_Timing_Every",
}
for env_name, input_name in optional_overrides.items():
if env_name not in runtime_env and hasattr(input_data, input_name):
runtime_env[env_name] = str(getattr(input_data, input_name))
return runtime_env
control_socket = os.path.join(pipe_dir, "control")
if not os.path.exists(control_socket):
start = subprocess.run(
["nvidia-cuda-mps-control", "-d"],
env=env,
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
)
if start.returncode != 0:
print(f" Warning: failed to start private CUDA MPS daemon in {pipe_dir}")
else:
print(f" Using private CUDA MPS pipe directory: {pipe_dir}")
else:
print(f" Using existing private CUDA MPS pipe directory: {pipe_dir}")
return env
##################################################################
@@ -262,13 +111,11 @@ def makefile_ABE():
print( " Compiling the AMSS-NCKU executable file ABE/ABEGPU " )
print( )
z4c_mrbd = int(getattr(input_data, "AMSS_Z4C_MRBD", 0))
## Build command with CPU binding to nohz_full cores
if (input_data.GPU_Calculation == "no"):
makefile_command = f"{NUMACTL_CPU_BIND} env AMSS_Z4C_MRBD={z4c_mrbd} make -j{BUILD_JOBS} INTERP_LB_MODE=off USE_CUDA_BSSN=0 USE_CUDA_Z4C=0 ABE"
makefile_command = f"{NUMACTL_CPU_BIND} make -j{BUILD_JOBS} INTERP_LB_MODE=off ABE"
elif (input_data.GPU_Calculation == "yes"):
makefile_command = f"{NUMACTL_CPU_BIND} env AMSS_Z4C_MRBD={z4c_mrbd} make -j{BUILD_JOBS} INTERP_LB_MODE=off USE_CUDA_BSSN=1 USE_CUDA_Z4C=1 ABE_CUDA"
makefile_command = f"{NUMACTL_CPU_BIND} make -j{BUILD_JOBS} ABEGPU"
else:
print( " CPU/GPU numerical calculation setting is wrong " )
print( )
@@ -341,84 +188,42 @@ def run_ABE():
print( )
## Define the command to run; cast other values to strings as needed
mpi_env = None
started_mps = False
mpi_processes = int(input_data.MPI_processes)
if (input_data.GPU_Calculation == "yes" and
getattr(input_data, "Equation_Class", "") == "Z4C"):
z4c_env_np = os.environ.get("AMSS_Z4C_GPU_MPI_PROCESSES")
if z4c_env_np and int(z4c_env_np) > 0:
mpi_processes = int(z4c_env_np)
elif mpi_processes < 4:
mpi_processes = 4
if (input_data.GPU_Calculation == "yes" and
getattr(input_data, "basic_grid_set", "") == "Shell-Patch"):
shell_env_np = os.environ.get("AMSS_SHELL_GPU_MPI_PROCESSES")
if shell_env_np and int(shell_env_np) > 0:
mpi_processes = int(shell_env_np)
elif mpi_processes < 4:
mpi_processes = 4
run_env = None
if (input_data.GPU_Calculation == "no"):
mpi_command = NUMACTL_CPU_BIND + " mpirun -np " + str(mpi_processes) + " ./ABE"
mpi_command = NUMACTL_CPU_BIND + " mpirun -np " + str(input_data.MPI_processes) + " ./ABE"
#mpi_command = " mpirun -np " + str(input_data.MPI_processes) + " ./ABE"
mpi_command_outfile = "ABE_out.log"
elif (input_data.GPU_Calculation == "yes"):
mpi_command = NUMACTL_CPU_BIND + " I_MPI_OFFLOAD=1 I_MPI_OFFLOAD_IPC=0 mpirun -np " + str(mpi_processes) + " ./ABE_CUDA"
run_env = prepare_gpu_runtime_env()
if int(input_data.MPI_processes) == 1:
mpi_command = "./ABEGPU"
else:
mpi_command = NUMACTL_CPU_BIND + " mpirun -np " + str(input_data.MPI_processes) + " ./ABEGPU"
mpi_command_outfile = "ABEGPU_out.log"
mpi_env = _gpu_runtime_env()
started_mps = _start_cuda_mps_if_requested(mpi_env)
print(" GPU optimized runtime switches:")
print(f" MPI processes={mpi_processes}")
print(f" AMSS_INTERP_FAST={mpi_env.get('AMSS_INTERP_FAST', '')}")
print(f" AMSS_INTERP_GPU={mpi_env.get('AMSS_INTERP_GPU', '')}")
print(f" AMSS_ANALYSIS_MAP_EVERY={mpi_env.get('AMSS_ANALYSIS_MAP_EVERY', '')}")
print(f" AMSS_EVOLVE_TIMING={mpi_env.get('AMSS_EVOLVE_TIMING', '')}")
print(f" AMSS_ESCALAR_STEP_TIMING={mpi_env.get('AMSS_ESCALAR_STEP_TIMING', '')}")
print(f" AMSS_CUDA_AWARE_MPI={mpi_env.get('AMSS_CUDA_AWARE_MPI', '')}")
print(f" AMSS_CUDA_KEEP_RESIDENT_AFTER_STEP={mpi_env.get('AMSS_CUDA_KEEP_RESIDENT_AFTER_STEP', '')}")
print(f" AMSS_CUDA_KEEP_ALL_LEVELS={mpi_env.get('AMSS_CUDA_KEEP_ALL_LEVELS', '')}")
print(f" AMSS_CUDA_ESCALAR_KEEP_RESIDENT_AFTER_STEP={mpi_env.get('AMSS_CUDA_ESCALAR_KEEP_RESIDENT_AFTER_STEP', '')}")
print(f" AMSS_CUDA_ESCALAR_KEEP_ALL_LEVELS={mpi_env.get('AMSS_CUDA_ESCALAR_KEEP_ALL_LEVELS', '')}")
print(f" AMSS_CUDA_EM_CACHE_SOURCES={mpi_env.get('AMSS_CUDA_EM_CACHE_SOURCES', '')}")
print(f" AMSS_CUDA_EM_ZERO_FASTPATH={mpi_env.get('AMSS_CUDA_EM_ZERO_FASTPATH', '')}")
print(f" AMSS_EM_ZERO_ANALYSIS_FASTPATH={mpi_env.get('AMSS_EM_ZERO_ANALYSIS_FASTPATH', '')}")
print(f" AMSS_EM_ZERO_RESIDENT_DOWNLOAD_FASTPATH={mpi_env.get('AMSS_EM_ZERO_RESIDENT_DOWNLOAD_FASTPATH', '')}")
print(f" AMSS_CUDA_AMR_HOST_STAGED={mpi_env.get('AMSS_CUDA_AMR_HOST_STAGED', '')}")
print(f" AMSS_CUDA_AMR_RESTRICT_DEVICE={mpi_env.get('AMSS_CUDA_AMR_RESTRICT_DEVICE', '')}")
print(f" AMSS_CUDA_AMR_RESTRICT_BATCH={mpi_env.get('AMSS_CUDA_AMR_RESTRICT_BATCH', '')}")
print(f" AMSS_CUDA_DEVICE_SEGMENT_BATCH={mpi_env.get('AMSS_CUDA_DEVICE_SEGMENT_BATCH', '')}")
print(f" AMSS_CUDA_UNCACHED_DEVICE_BUFFERS={mpi_env.get('AMSS_CUDA_UNCACHED_DEVICE_BUFFERS', '')}")
print(f" AMSS_SHELL_FAST_INTERP={mpi_env.get('AMSS_SHELL_FAST_INTERP', '')}")
print(f" AMSS_SHELL_PARALLEL_INTERP={mpi_env.get('AMSS_SHELL_PARALLEL_INTERP', '')}")
print(f" AMSS_SHELL_CUDA_INTERP={mpi_env.get('AMSS_SHELL_CUDA_INTERP', '')}")
print(f" AMSS_SHELL_INTERP_THREADS={mpi_env.get('AMSS_SHELL_INTERP_THREADS', '')}")
print(f" AMSS_Z4C_CUDA_RESIDENT={mpi_env.get('AMSS_Z4C_CUDA_RESIDENT', '')}")
print(f" AMSS_CONSTRAINT_OUT_EVERY={mpi_env.get('AMSS_CONSTRAINT_OUT_EVERY', '')}")
if "CUDA_MPS_PIPE_DIRECTORY" in mpi_env:
print(f" CUDA_MPS_PIPE_DIRECTORY={mpi_env['CUDA_MPS_PIPE_DIRECTORY']}")
try:
## Execute the MPI command and stream output
mpi_process = subprocess.Popen(mpi_command, shell=True, stdout=subprocess.PIPE,
stderr=subprocess.STDOUT, text=True, env=mpi_env)
## Execute the MPI command and stream output
mpi_process = subprocess.Popen(
mpi_command,
shell=True,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
text=True,
env=run_env,
)
## Write ABE run output to file while printing to stdout
with open(mpi_command_outfile, 'w') as file0:
## Read and print output lines; also write each line to file
for line in mpi_process.stdout:
print(line, end='') # stream output in real time
file0.write(line) # write the line to file
file0.flush() # flush to ensure each line is written immediately (optional)
## Write ABE run output to file while printing to stdout
with open(mpi_command_outfile, 'w') as file0:
## Read and print output lines; also write each line to file
for line in mpi_process.stdout:
print(line, end='') # stream output in real time
file0.write(line) # write the line to file
file0.flush() # flush to ensure each line is written immediately (optional)
file0.close()
## Wait for the process to finish
mpi_return_code = mpi_process.wait()
if mpi_return_code != 0:
raise subprocess.CalledProcessError(mpi_return_code, mpi_command)
finally:
if started_mps:
_stop_cuda_mps(mpi_env)
## Wait for the process to finish
mpi_return_code = mpi_process.wait()
print( )
print( " The ABE/ABEGPU simulation is finished " )

View File

@@ -808,10 +808,10 @@ def generate_ADMmass_plot( outdir, figure_outdir, detector_number_i ):
## Plot constraint violation for each grid level
def generate_constraint_check_plot( outdir, figure_outdir, input_level_number ):
# path to data file
file0 = os.path.join(outdir, "bssn_constraint.dat")
def generate_constraint_check_plot( outdir, figure_outdir, input_level_number ):
# path to data file
file0 = os.path.join(outdir, "bssn_constraint.dat")
if ( input_level_number == 0 ):
print( )
@@ -819,26 +819,13 @@ def generate_constraint_check_plot( outdir, figure_outdir, input_level_number ):
print( )
print( " corresponding data file = ", file0 )
print( )
print( " Begin the constraint violation plot for grid level number = ", input_level_number )
if (not os.path.exists(file0)) or os.path.getsize(file0) == 0:
if ( input_level_number == 0 ):
print( " Constraint data file is empty; skip constraint violation plots" )
print( )
return
# load the full data file (assumed whitespace-separated floats)
data = numpy.loadtxt(file0)
data = numpy.atleast_2d(data)
if data.shape[1] < 8:
if ( input_level_number == 0 ):
print( " Constraint data file has insufficient columns; skip constraint violation plots" )
print( )
return
# extract columns from the constraint data file
print( " Begin the constraint violation plot for grid level number = ", input_level_number )
# load the full data file (assumed whitespace-separated floats)
data = numpy.loadtxt(file0)
# extract columns from the constraint data file
time = data[:,0]
Constraint_H = data[:,1]
Constraint_Px = data[:,2]