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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
221 changed files with 195239 additions and 191537 deletions

6
.idea/vcs.xml generated
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@@ -1,6 +0,0 @@
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="VcsDirectoryMappings">
<mapping directory="" vcs="Git" />
</component>
</project>

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@@ -126,6 +126,11 @@ setup.generate_AMSSNCKU_input()
#inputvalue = input() ## Wait for user input (press Enter) to proceed #inputvalue = input() ## Wait for user input (press Enter) to proceed
#print() #print()
setup.print_puncture_information()
##################################################################
## Generate AMSS-NCKU program input files based on the configured parameters ## Generate AMSS-NCKU program input files based on the configured parameters
print( ) print( )
@@ -307,7 +312,7 @@ if (input_data.Initial_Data_Method == "Ansorg-TwoPuncture" ):
import generate_TwoPuncture_input import generate_TwoPuncture_input
generate_TwoPuncture_input.generate_AMSSNCKU_TwoPuncture_input(numerical_grid.puncture_data) generate_TwoPuncture_input.generate_AMSSNCKU_TwoPuncture_input()
print( ) print( )
print( " The input parfile for the TwoPunctureABE executable has been generated. " ) print( " The input parfile for the TwoPunctureABE executable has been generated. " )
@@ -349,7 +354,7 @@ if (input_data.Initial_Data_Method == "Ansorg-TwoPuncture" ):
import renew_puncture_parameter import renew_puncture_parameter
renew_puncture_parameter.append_AMSSNCKU_BSSN_input(File_directory, output_directory, numerical_grid.puncture_data) renew_puncture_parameter.append_AMSSNCKU_BSSN_input(File_directory, output_directory)
## Generated AMSS-NCKU input filename ## Generated AMSS-NCKU input filename

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@@ -9,11 +9,6 @@ Verification Requirements:
- Y Component RMS - Y Component RMS
- Z Component RMS - Z Component RMS
2. ADM constraint violation < 2 (Grid Level 0) 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.
RMS Calculation Method: RMS Calculation Method:
- Computes trajectory deviation on the XY plane independently for BH1 and BH2 - Computes trajectory deviation on the XY plane independently for BH1 and BH2
@@ -28,10 +23,6 @@ Reference: GW150914-origin (baseline simulation)
import numpy as np import numpy as np
import sys import sys
import os import os
import shutil
import subprocess
import tempfile
from PIL import Image
# ANSI Color Codes # ANSI Color Codes
class Color: class Color:
@@ -70,132 +61,6 @@ def load_constraint_data(filepath):
data.append([float(x) for x in parts[:8]]) data.append([float(x) for x in parts[:8]])
return np.array(data) 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
def calculate_all_rms_errors(bh_data_ref, bh_data_target): def calculate_all_rms_errors(bh_data_ref, bh_data_target):
""" """
Calculate 3D Vector RMS and component-wise RMS (X, Y, Z) independently. Calculate 3D Vector RMS and component-wise RMS (X, Y, Z) independently.
@@ -319,45 +184,18 @@ def print_constraint_results(results, threshold=2.0):
return passed return passed
def print_figure_results(results, threshold_percent=0.001): def print_summary(rms_passed, constraint_passed):
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("\n" + Color.BLUE + Color.BOLD + "=" * 65 + Color.RESET)
print(Color.BOLD + "Verification Summary" + Color.RESET) print(Color.BOLD + "Verification Summary" + Color.RESET)
print(Color.BLUE + Color.BOLD + "=" * 65 + Color.RESET) print(Color.BLUE + Color.BOLD + "=" * 65 + Color.RESET)
all_passed = rms_passed and constraint_passed and figure_passed all_passed = rms_passed and constraint_passed
res_rms = get_status_text(rms_passed) res_rms = get_status_text(rms_passed)
res_con = get_status_text(constraint_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" [1] Comprehensive RMS check: {res_rms}")
print(f" [2] ADM constraint check: {res_con}") print(f" [2] ADM constraint check: {res_con}")
print(f" [3] Figure pixel comparison: {res_fig}")
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}" 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}") print(f"\n Overall result: {final_status}")
@@ -374,8 +212,6 @@ def main():
script_dir = os.path.dirname(os.path.abspath(__file__)) script_dir = os.path.dirname(os.path.abspath(__file__))
reference_dir = os.path.join(script_dir, "GW150914-origin/AMSS_NCKU_output") 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_ref = os.path.join(reference_dir, "bssn_BH.dat")
bh_file_target = os.path.join(target_dir, "bssn_BH.dat") bh_file_target = os.path.join(target_dir, "bssn_BH.dat")
@@ -394,8 +230,6 @@ def main():
print_header() print_header()
print(f"\n{Color.BOLD}Reference (Baseline):{Color.RESET} {Color.BLUE}{reference_dir}{Color.RESET}") 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}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}")
bh_data_ref = load_bh_trajectory(bh_file_ref) bh_data_ref = load_bh_trajectory(bh_file_ref)
bh_data_target = load_bh_trajectory(bh_file_target) bh_data_target = load_bh_trajectory(bh_file_target)
@@ -409,13 +243,7 @@ def main():
constraint_results = analyze_constraint_violation(constraint_data) constraint_results = analyze_constraint_violation(constraint_data)
constraint_passed = print_constraint_results(constraint_results) constraint_passed = print_constraint_results(constraint_results)
try: all_passed = print_summary(rms_passed, constraint_passed)
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) sys.exit(0 if all_passed else 1)
if __name__ == "__main__": if __name__ == "__main__":

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@@ -24,18 +24,16 @@ using namespace std;
#include "misc.h" #include "misc.h"
#include "macrodef.h" #include "macrodef.h"
#ifdef USE_GPU
extern void bssn_cuda_dump_stage_profile();
#endif
#ifndef ABEtype #ifndef ABEtype
#error "not define ABEtype" #error "not define ABEtype"
#endif #endif
#if (ABEtype == 0) #if (ABEtype == 0)
#ifdef USE_GPU
#include "bssn_gpu_class.h"
#else
#include "bssn_class.h" #include "bssn_class.h"
#endif
#elif (ABEtype == 1) #elif (ABEtype == 1)
#include "bssnEScalar_class.h" #include "bssnEScalar_class.h"
@@ -474,10 +472,13 @@ int main(int argc, char *argv[])
cout << endl; cout << endl;
} }
ADM->Evolve(Steps); ADM->Evolve(Steps);
#ifdef USE_GPU
bssn_cuda_dump_stage_profile();
#endif
if (myrank == 0) if (myrank == 0)
{ {
cout << endl; cout << endl;
cout << " Total Evolve Time: " << MPI_Wtime() - End_clock << " seconds!" << endl; cout << " Total Evolve Time: " << MPI_Wtime() - End_clock << " seconds!" << endl;
cout << " Total Running Time: " << MPI_Wtime() - Begin_clock << " seconds!" << endl; cout << " Total Running Time: " << MPI_Wtime() - Begin_clock << " seconds!" << endl;

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@@ -11,6 +11,10 @@ using namespace std;
#include "Block.h" #include "Block.h"
#include "misc.h" #include "misc.h"
#ifdef USE_GPU
#include "bssn_gpu.h"
#include "bssn_cuda_ops.h"
#endif
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) 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)
{ {
@@ -101,6 +105,11 @@ Block::~Block()
MPI_Comm_rank(MPI_COMM_WORLD, &myrank); MPI_Comm_rank(MPI_COMM_WORLD, &myrank);
if (myrank == rank) 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++) for (int i = 0; i < dim; i++)
delete[] X[i]; delete[] X[i];
for (int i = 0; i < ingfs; i++) for (int i = 0; i < ingfs; i++)

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@@ -7,6 +7,7 @@
#include <string> #include <string>
#include <cmath> #include <cmath>
#include <new> #include <new>
#include <map>
#include <vector> #include <vector>
using namespace std; using namespace std;
@@ -14,12 +15,82 @@ using namespace std;
#include "MPatch.h" #include "MPatch.h"
#include "Parallel.h" #include "Parallel.h"
#include "fmisc.h" #include "fmisc.h"
#include "bssn_cuda_ops.h"
#ifdef INTERP_LB_PROFILE #ifdef INTERP_LB_PROFILE
#include "interp_lb_profile.h" #include "interp_lb_profile.h"
#endif #endif
#if defined(__GNUC__) || defined(__clang__)
extern 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) __attribute__((weak));
#endif
namespace namespace
{ {
struct InterpVarDesc
{
int sgfn;
double soa[dim];
};
struct InterpPlanKey
{
const Patch *patch;
const double *x;
const double *y;
const double *z;
int NN;
int Symmetry;
int myrank;
};
struct InterpPlanKeyLess
{
bool operator()(const InterpPlanKey &lhs, const InterpPlanKey &rhs) const
{
if (lhs.patch != rhs.patch) return lhs.patch < rhs.patch;
if (lhs.x != rhs.x) return lhs.x < rhs.x;
if (lhs.y != rhs.y) return lhs.y < rhs.y;
if (lhs.z != rhs.z) return lhs.z < rhs.z;
if (lhs.NN != rhs.NN) return lhs.NN < rhs.NN;
if (lhs.Symmetry != rhs.Symmetry) return lhs.Symmetry < rhs.Symmetry;
return lhs.myrank < rhs.myrank;
}
};
struct CachedInterpPlan
{
int nblocks;
vector<int> owner_rank;
vector<int> owner_block;
vector<vector<int> > block_points;
vector<vector<double> > block_px;
vector<vector<double> > block_py;
vector<vector<double> > block_pz;
CachedInterpPlan() : nblocks(0) {}
};
struct CachedInterpPlanEntry
{
bool valid;
InterpPlanKey key;
vector<double> xvals;
vector<double> yvals;
vector<double> zvals;
CachedInterpPlan plan;
CachedInterpPlanEntry() : valid(false) {}
};
struct InterpBlockView struct InterpBlockView
{ {
Block *bp; Block *bp;
@@ -178,8 +249,309 @@ int find_block_index_for_point(const BlockBinIndex &index, const double *pox, co
return -1; return -1;
} }
void collect_interp_vars(MyList<var> *VarList, vector<InterpVarDesc> &vars)
{
vars.clear();
MyList<var> *varl = VarList;
while (varl)
{
InterpVarDesc desc;
desc.sgfn = varl->data->sgfn;
for (int d = 0; d < dim; ++d)
desc.soa[d] = varl->data->SoA[d];
vars.push_back(desc);
varl = varl->next;
}
}
bool should_try_cuda_interp(int ordn, int num_points, int num_var)
{
#if defined(__GNUC__) || defined(__clang__)
if (!bssn_cuda_interp_points_batch)
return false;
#else
return false;
#endif
if (ordn != 6)
return false;
if (num_points < 32)
return false;
return num_points * num_var >= 256;
}
CachedInterpPlanEntry &interp_plan_cache_entry()
{
static CachedInterpPlanEntry cache;
return cache;
}
bool same_interp_plan_key(const InterpPlanKey &lhs, const InterpPlanKey &rhs)
{
return lhs.patch == rhs.patch &&
lhs.NN == rhs.NN &&
lhs.Symmetry == rhs.Symmetry &&
lhs.myrank == rhs.myrank;
}
bool same_interp_plan_points(const CachedInterpPlanEntry &cache, int NN, double **XX)
{
if (static_cast<int>(cache.xvals.size()) != NN ||
static_cast<int>(cache.yvals.size()) != NN ||
static_cast<int>(cache.zvals.size()) != NN)
return false;
for (int j = 0; j < NN; ++j)
{
if (cache.xvals[j] != XX[0][j] ||
cache.yvals[j] != XX[1][j] ||
cache.zvals[j] != XX[2][j])
return false;
}
return true;
}
CachedInterpPlan &get_cached_interp_plan(Patch *patch,
int NN, double **XX,
int Symmetry, int myrank,
const double *DH,
const BlockBinIndex &block_index,
bool report_bounds_here,
bool allow_missing_points)
{
InterpPlanKey key;
key.patch = patch;
key.x = XX[0];
key.y = XX[1];
key.z = XX[2];
key.NN = NN;
key.Symmetry = Symmetry;
key.myrank = myrank;
CachedInterpPlanEntry &cache = interp_plan_cache_entry();
if (cache.valid &&
same_interp_plan_key(cache.key, key) &&
same_interp_plan_points(cache, NN, XX) &&
cache.plan.nblocks == static_cast<int>(block_index.views.size()))
return cache.plan;
cache.valid = true;
cache.key = key;
cache.xvals.assign(XX[0], XX[0] + NN);
cache.yvals.assign(XX[1], XX[1] + NN);
cache.zvals.assign(XX[2], XX[2] + NN);
cache.plan = CachedInterpPlan();
CachedInterpPlan &plan = cache.plan;
plan.nblocks = static_cast<int>(block_index.views.size());
plan.owner_rank.assign(NN, -1);
plan.owner_block.assign(NN, -1);
plan.block_points.resize(plan.nblocks);
plan.block_px.resize(plan.nblocks);
plan.block_py.resize(plan.nblocks);
plan.block_pz.resize(plan.nblocks);
for (int j = 0; j < NN; ++j)
{
double pox[dim];
for (int i = 0; i < dim; ++i)
{
pox[i] = XX[i][j];
if (report_bounds_here &&
(XX[i][j] < patch->bbox[i] + patch->lli[i] * DH[i] ||
XX[i][j] > patch->bbox[dim + i] - patch->uui[i] * DH[i]))
{
cout << "Patch::Interp_Points: point (";
for (int k = 0; k < dim; ++k)
{
cout << XX[k][j];
if (k < dim - 1)
cout << ",";
else
cout << ") is out of current Patch." << endl;
}
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
const int block_i = find_block_index_for_point(block_index, pox, DH);
if (block_i >= 0)
{
Block *BP = block_index.views[block_i].bp;
plan.owner_rank[j] = BP->rank;
plan.owner_block[j] = block_i;
if (BP->rank == myrank)
{
plan.block_points[block_i].push_back(j);
plan.block_px[block_i].push_back(XX[0][j]);
plan.block_py[block_i].push_back(XX[1][j]);
plan.block_pz[block_i].push_back(XX[2][j]);
}
}
}
if (!allow_missing_points && report_bounds_here)
{
for (int j = 0; j < NN; ++j)
{
if (plan.owner_rank[j] >= 0)
continue;
cout << "ERROR: Patch::Interp_Points fails to find point (";
for (int d = 0; d < dim; ++d)
{
cout << XX[d][j];
if (d < dim - 1)
cout << ",";
else
cout << ")";
}
cout << " on Patch (";
for (int d = 0; d < dim; ++d)
{
cout << patch->bbox[d] << "+" << patch->lli[d] * DH[d];
if (d < dim - 1)
cout << ",";
else
cout << ")--";
}
cout << "(";
for (int d = 0; d < dim; ++d)
{
cout << patch->bbox[dim + d] << "-" << patch->uui[d] * DH[d];
if (d < dim - 1)
cout << ",";
else
cout << ")" << endl;
}
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
return plan;
}
void release_interp_plan_cache_internal()
{
CachedInterpPlanEntry &cache = interp_plan_cache_entry();
cache.valid = false;
cache.xvals.clear();
cache.yvals.clear();
cache.zvals.clear();
cache.plan = CachedInterpPlan();
}
bool run_cuda_interp_for_block(Block *BP,
const vector<InterpVarDesc> &vars,
const vector<int> &point_ids,
const vector<double> &px,
const vector<double> &py,
const vector<double> &pz,
double *Shellf,
int num_var,
int ordn,
int Symmetry)
{
if (!should_try_cuda_interp(ordn, static_cast<int>(point_ids.size()), num_var))
return false;
vector<const double *> field_ptrs(num_var);
vector<double> soa_flat(3 * num_var);
for (int v = 0; v < num_var; ++v)
{
field_ptrs[v] = BP->fgfs[vars[v].sgfn];
for (int d = 0; d < dim; ++d)
soa_flat[3 * v + d] = vars[v].soa[d];
}
const int npts = static_cast<int>(point_ids.size());
vector<double> out(static_cast<size_t>(npts) * static_cast<size_t>(num_var));
if (bssn_cuda_interp_points_batch(BP->shape,
BP->X[0], BP->X[1], BP->X[2],
field_ptrs.data(),
soa_flat.data(),
num_var,
px.data(), py.data(), pz.data(),
npts,
ordn,
Symmetry,
out.data()) != 0)
{
return false;
}
for (int p = 0; p < npts; ++p)
{
const int j = point_ids[p];
memcpy(Shellf + j * num_var, out.data() + p * num_var, sizeof(double) * num_var);
}
return true;
}
void run_cpu_interp_for_block(Block *BP,
const vector<InterpVarDesc> &vars,
const vector<int> &point_ids,
const vector<double> &px,
const vector<double> &py,
const vector<double> &pz,
double *Shellf,
int num_var,
int ordn,
int Symmetry)
{
for (size_t p = 0; p < point_ids.size(); ++p)
{
const int j = point_ids[p];
double x = px[p];
double y = py[p];
double z = pz[p];
int ordn_local = ordn;
int symmetry_local = Symmetry;
for (int v = 0; v < num_var; ++v)
{
f_global_interp(BP->shape, BP->X[0], BP->X[1], BP->X[2],
BP->fgfs[vars[v].sgfn], Shellf[j * num_var + v],
x, y, z, ordn_local, const_cast<double *>(vars[v].soa), symmetry_local);
}
}
}
void interpolate_owned_points(MyList<var> *VarList,
double *Shellf, int Symmetry,
int ordn,
const BlockBinIndex &block_index,
const CachedInterpPlan &plan)
{
vector<InterpVarDesc> vars;
collect_interp_vars(VarList, vars);
const int num_var = static_cast<int>(vars.size());
for (size_t bi = 0; bi < plan.block_points.size(); ++bi)
{
if (plan.block_points[bi].empty())
continue;
Block *BP = block_index.views[bi].bp;
bool done = run_cuda_interp_for_block(BP, vars,
plan.block_points[bi],
plan.block_px[bi],
plan.block_py[bi],
plan.block_pz[bi],
Shellf, num_var, ordn, Symmetry);
if (!done)
run_cpu_interp_for_block(BP, vars,
plan.block_points[bi],
plan.block_px[bi],
plan.block_py[bi],
plan.block_pz[bi],
Shellf, num_var, ordn, Symmetry);
}
}
} // namespace } // namespace
void patch_release_interp_plan_cache()
{
release_interp_plan_cache_internal();
}
Patch::Patch(int DIM, int *shapei, double *bboxi, int levi, bool buflog, int Symmetry) : lev(levi) Patch::Patch(int DIM, int *shapei, double *bboxi, int levi, bool buflog, int Symmetry) : lev(levi)
{ {
@@ -523,60 +895,15 @@ void Patch::Interp_Points(MyList<var> *VarList,
memset(Shellf, 0, sizeof(double) * NN * num_var); memset(Shellf, 0, sizeof(double) * NN * num_var);
// owner_rank[j] records which MPI rank owns point j
// All ranks traverse the same block list so they all agree on ownership
int *owner_rank;
owner_rank = new int[NN];
for (int j = 0; j < NN; j++)
owner_rank[j] = -1;
double DH[dim]; double DH[dim];
for (int i = 0; i < dim; i++) for (int i = 0; i < dim; i++)
DH[i] = getdX(i); DH[i] = getdX(i);
BlockBinIndex block_index; BlockBinIndex block_index;
build_block_bin_index(this, DH, block_index); build_block_bin_index(this, DH, block_index);
CachedInterpPlan &plan = get_cached_interp_plan(this, NN, XX, Symmetry, myrank, DH, block_index, myrank == 0, false);
const int *owner_rank = plan.owner_rank.data();
for (int j = 0; j < NN; j++) // run along points interpolate_owned_points(VarList, Shellf, Symmetry, ordn, block_index, plan);
{
double pox[dim];
for (int i = 0; i < dim; i++)
{
pox[i] = XX[i][j];
if (myrank == 0 && (XX[i][j] < bbox[i] + lli[i] * DH[i] || XX[i][j] > bbox[dim + i] - uui[i] * DH[i]))
{
cout << "Patch::Interp_Points: point (";
for (int k = 0; k < dim; k++)
{
cout << XX[k][j];
if (k < dim - 1)
cout << ",";
else
cout << ") is out of current Patch." << endl;
}
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
const int block_i = find_block_index_for_point(block_index, pox, DH);
if (block_i >= 0)
{
Block *BP = block_index.views[block_i].bp;
owner_rank[j] = BP->rank;
if (myrank == BP->rank)
{
//---> interpolation
varl = VarList;
int k = 0;
while (varl) // run along variables
{
f_global_interp(BP->shape, BP->X[0], BP->X[1], BP->X[2], BP->fgfs[varl->data->sgfn], Shellf[j * num_var + k],
pox[0], pox[1], pox[2], ordn, varl->data->SoA, Symmetry);
varl = varl->next;
k++;
}
}
}
}
// Replace MPI_Allreduce with per-owner MPI_Bcast: // Replace MPI_Allreduce with per-owner MPI_Bcast:
// Group consecutive points by owner rank and broadcast each group. // Group consecutive points by owner rank and broadcast each group.
@@ -632,7 +959,6 @@ void Patch::Interp_Points(MyList<var> *VarList,
} }
} }
delete[] owner_rank;
} }
void Patch::Interp_Points(MyList<var> *VarList, void Patch::Interp_Points(MyList<var> *VarList,
int NN, double **XX, int NN, double **XX,
@@ -661,101 +987,21 @@ void Patch::Interp_Points(MyList<var> *VarList,
memset(Shellf, 0, sizeof(double) * NN * num_var); memset(Shellf, 0, sizeof(double) * NN * num_var);
// owner_rank[j] records which MPI rank owns point j
int *owner_rank;
owner_rank = new int[NN];
for (int j = 0; j < NN; j++)
owner_rank[j] = -1;
double DH[dim]; double DH[dim];
for (int i = 0; i < dim; i++) for (int i = 0; i < dim; i++)
DH[i] = getdX(i); DH[i] = getdX(i);
BlockBinIndex block_index; BlockBinIndex block_index;
build_block_bin_index(this, DH, block_index); build_block_bin_index(this, DH, block_index);
CachedInterpPlan &plan = get_cached_interp_plan(this, NN, XX, Symmetry, myrank, DH, block_index, myrank == 0, false);
const int *owner_rank = plan.owner_rank.data();
// --- Interpolation phase (identical to original) --- interpolate_owned_points(VarList, Shellf, Symmetry, ordn, block_index, plan);
for (int j = 0; j < NN; j++)
{
double pox[dim];
for (int i = 0; i < dim; i++)
{
pox[i] = XX[i][j];
if (myrank == 0 && (XX[i][j] < bbox[i] + lli[i] * DH[i] || XX[i][j] > bbox[dim + i] - uui[i] * DH[i]))
{
cout << "Patch::Interp_Points: point (";
for (int k = 0; k < dim; k++)
{
cout << XX[k][j];
if (k < dim - 1)
cout << ",";
else
cout << ") is out of current Patch." << endl;
}
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
const int block_i = find_block_index_for_point(block_index, pox, DH);
if (block_i >= 0)
{
Block *BP = block_index.views[block_i].bp;
owner_rank[j] = BP->rank;
if (myrank == BP->rank)
{
varl = VarList;
int k = 0;
while (varl)
{
f_global_interp(BP->shape, BP->X[0], BP->X[1], BP->X[2], BP->fgfs[varl->data->sgfn], Shellf[j * num_var + k],
pox[0], pox[1], pox[2], ordn, varl->data->SoA, Symmetry);
varl = varl->next;
k++;
}
}
}
}
#ifdef INTERP_LB_PROFILE #ifdef INTERP_LB_PROFILE
double t_interp_end = MPI_Wtime(); double t_interp_end = MPI_Wtime();
double t_interp_local = t_interp_end - t_interp_start; double t_interp_local = t_interp_end - t_interp_start;
#endif #endif
// --- Error check for unfound points ---
for (int j = 0; j < NN; j++)
{
if (owner_rank[j] < 0 && myrank == 0)
{
cout << "ERROR: Patch::Interp_Points fails to find point (";
for (int d = 0; d < dim; d++)
{
cout << XX[d][j];
if (d < dim - 1)
cout << ",";
else
cout << ")";
}
cout << " on Patch (";
for (int d = 0; d < dim; d++)
{
cout << bbox[d] << "+" << lli[d] * DH[d];
if (d < dim - 1)
cout << ",";
else
cout << ")--";
}
cout << "(";
for (int d = 0; d < dim; d++)
{
cout << bbox[dim + d] << "-" << uui[d] * DH[d];
if (d < dim - 1)
cout << ",";
else
cout << ")" << endl;
}
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
// --- Targeted point-to-point communication phase --- // --- Targeted point-to-point communication phase ---
// Compute consumer_rank[j] using the same deterministic formula as surface_integral // Compute consumer_rank[j] using the same deterministic formula as surface_integral
int *consumer_rank = new int[NN]; int *consumer_rank = new int[NN];
@@ -875,7 +1121,6 @@ void Patch::Interp_Points(MyList<var> *VarList,
delete[] send_count; delete[] send_count;
delete[] recv_count; delete[] recv_count;
delete[] consumer_rank; delete[] consumer_rank;
delete[] owner_rank;
#ifdef INTERP_LB_PROFILE #ifdef INTERP_LB_PROFILE
{ {
@@ -923,12 +1168,6 @@ void Patch::Interp_Points(MyList<var> *VarList,
memset(Shellf, 0, sizeof(double) * NN * num_var); memset(Shellf, 0, sizeof(double) * NN * num_var);
// owner_rank[j] stores the global rank that owns point j
int *owner_rank;
owner_rank = new int[NN];
for (int j = 0; j < NN; j++)
owner_rank[j] = -1;
// Build global-to-local rank translation for Comm_here // Build global-to-local rank translation for Comm_here
MPI_Group world_group, local_group; MPI_Group world_group, local_group;
MPI_Comm_group(MPI_COMM_WORLD, &world_group); MPI_Comm_group(MPI_COMM_WORLD, &world_group);
@@ -939,48 +1178,10 @@ void Patch::Interp_Points(MyList<var> *VarList,
DH[i] = getdX(i); DH[i] = getdX(i);
BlockBinIndex block_index; BlockBinIndex block_index;
build_block_bin_index(this, DH, block_index); build_block_bin_index(this, DH, block_index);
CachedInterpPlan &plan = get_cached_interp_plan(this, NN, XX, Symmetry, myrank, DH, block_index, lmyrank == 0, true);
const int *owner_rank = plan.owner_rank.data();
for (int j = 0; j < NN; j++) // run along points interpolate_owned_points(VarList, Shellf, Symmetry, ordn, block_index, plan);
{
double pox[dim];
for (int i = 0; i < dim; i++)
{
pox[i] = XX[i][j];
if (lmyrank == 0 && (XX[i][j] < bbox[i] + lli[i] * DH[i] || XX[i][j] > bbox[dim + i] - uui[i] * DH[i]))
{
cout << "Patch::Interp_Points: point (";
for (int k = 0; k < dim; k++)
{
cout << XX[k][j];
if (k < dim - 1)
cout << ",";
else
cout << ") is out of current Patch." << endl;
}
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
const int block_i = find_block_index_for_point(block_index, pox, DH);
if (block_i >= 0)
{
Block *BP = block_index.views[block_i].bp;
owner_rank[j] = BP->rank;
if (myrank == BP->rank)
{
//---> interpolation
varl = VarList;
int k = 0;
while (varl) // run along variables
{
f_global_interp(BP->shape, BP->X[0], BP->X[1], BP->X[2], BP->fgfs[varl->data->sgfn], Shellf[j * num_var + k],
pox[0], pox[1], pox[2], ordn, varl->data->SoA, Symmetry);
varl = varl->next;
k++;
}
}
}
}
// Collect unique global owner ranks and translate to local ranks in Comm_here // Collect unique global owner ranks and translate to local ranks in Comm_here
// Then broadcast each owner's points via MPI_Bcast on Comm_here // Then broadcast each owner's points via MPI_Bcast on Comm_here
@@ -1010,7 +1211,6 @@ void Patch::Interp_Points(MyList<var> *VarList,
MPI_Group_free(&world_group); MPI_Group_free(&world_group);
MPI_Group_free(&local_group); MPI_Group_free(&local_group);
delete[] owner_rank;
} }
void Patch::checkBlock() void Patch::checkBlock()
{ {

View File

@@ -52,4 +52,6 @@ public:
double *Shellf, MPI_Comm Comm_here); double *Shellf, MPI_Comm Comm_here);
}; };
void patch_release_interp_plan_cache();
#endif /* PATCH_H */ #endif /* PATCH_H */

View File

@@ -90,8 +90,11 @@ namespace Parallel
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /*target */, MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /*target */,
int Symmetry); int Symmetry);
void Sync(Patch *Pat, 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);
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);
void Sync_merged(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry, const char *context);
struct SyncCache { struct SyncCache {
bool valid; bool valid;
@@ -108,6 +111,7 @@ namespace Parallel
MPI_Status *stats; MPI_Status *stats;
int max_reqs; int max_reqs;
bool lengths_valid; bool lengths_valid;
int lengths_var_count;
int *tc_req_node; int *tc_req_node;
int *tc_req_is_recv; int *tc_req_is_recv;
int *tc_completed; int *tc_completed;
@@ -124,16 +128,17 @@ namespace Parallel
struct AsyncSyncState { struct AsyncSyncState {
int req_no; int req_no;
bool active; bool active;
int mpi_tag;
int *req_node; int *req_node;
int *req_is_recv; int *req_is_recv;
int pending_recv; int pending_recv;
AsyncSyncState() : req_no(0), active(false), req_node(0), req_is_recv(0), pending_recv(0) {} 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, void Sync_start(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry,
SyncCache &cache, AsyncSyncState &state); SyncCache &cache, AsyncSyncState &state);
void Sync_finish(SyncCache &cache, AsyncSyncState &state, void Sync_finish(SyncCache &cache, AsyncSyncState &state,
MyList<var> *VarList, int Symmetry); MyList<var> *VarList, int Symmetry, bool unpack_to_host = true);
void OutBdLow2Hi(Patch *Patc, Patch *Patf, void OutBdLow2Hi(Patch *Patc, Patch *Patf,
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */, MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */,
int Symmetry); int Symmetry);
@@ -183,7 +188,6 @@ namespace Parallel
MyList<Parallel::gridseg> **out_src, MyList<Parallel::gridseg> **out_dst); MyList<Parallel::gridseg> **out_src, MyList<Parallel::gridseg> **out_dst);
void PeriodicBD(Patch *Pat, MyList<var> *VarList, int Symmetry); void PeriodicBD(Patch *Pat, MyList<var> *VarList, int Symmetry);
double L2Norm(Patch *Pat, var *vf); double L2Norm(Patch *Pat, var *vf);
void L2Norm7(Patch *Pat, var **vf, double *norms);
void checkgsl(MyList<Parallel::gridseg> *pp, bool first_only); void checkgsl(MyList<Parallel::gridseg> *pp, bool first_only);
void checkvarl(MyList<var> *pp, bool first_only); void checkvarl(MyList<var> *pp, bool first_only);
MyList<Parallel::gridseg> *divide_gsl(MyList<Parallel::gridseg> *p, Patch *Pat); MyList<Parallel::gridseg> *divide_gsl(MyList<Parallel::gridseg> *p, Patch *Pat);
@@ -219,7 +223,6 @@ namespace Parallel
void checkpatchlist(MyList<Patch> *PatL, bool buflog); void checkpatchlist(MyList<Patch> *PatL, bool buflog);
double L2Norm(Patch *Pat, var *vf, MPI_Comm Comm_here); 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, bool PatList_Interp_Points(MyList<Patch> *PatL, MyList<var> *VarList,
int NN, double **XX, int NN, double **XX,
double *Shellf, int Symmetry, MPI_Comm Comm_here); double *Shellf, int Symmetry, MPI_Comm Comm_here);

View File

@@ -3472,43 +3472,6 @@ double ShellPatch::L2Norm(var *vf)
return tvf; return tvf;
} }
void ShellPatch::L2Norm7(var **vf, double *norms)
{
double tvf[7], dtvf[7];
int BDW = overghost;
for (int i = 0; i < 7; i++)
dtvf[i] = 0;
MyList<ss_patch> *sPp = PatL;
while (sPp)
{
MyList<Block> *Bp = sPp->data->blb;
while (Bp)
{
Block *cg = Bp->data;
if (myrank == cg->rank)
{
f_l2normhelper7(cg->shape, cg->X[0], cg->X[1], cg->X[2],
sPp->data->bbox[0], sPp->data->bbox[1], sPp->data->bbox[2],
sPp->data->bbox[3], sPp->data->bbox[4], sPp->data->bbox[5],
cg->fgfs[vf[0]->sgfn], cg->fgfs[vf[1]->sgfn], cg->fgfs[vf[2]->sgfn],
cg->fgfs[vf[3]->sgfn], cg->fgfs[vf[4]->sgfn], cg->fgfs[vf[5]->sgfn],
cg->fgfs[vf[6]->sgfn], tvf, BDW);
for (int i = 0; i < 7; i++)
dtvf[i] += tvf[i];
}
if (Bp == sPp->data->ble)
break;
Bp = Bp->next;
}
sPp = sPp->next;
}
MPI_Allreduce(dtvf, tvf, 7, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
for (int i = 0; i < 7; i++)
norms[i] = sqrt(tvf[i]);
}
// find maximum of abstract value, XX store position for maximum, Shellf store maximum themselvs // find maximum of abstract value, XX store position for maximum, Shellf store maximum themselvs
void ShellPatch::Find_Maximum(MyList<var> *VarList, double *XX, void ShellPatch::Find_Maximum(MyList<var> *VarList, double *XX,

View File

@@ -198,7 +198,6 @@ public:
void write_Pablo_file_ss(int *ext, double xmin, double xmax, double ymin, double ymax, double zmin, double zmax, void write_Pablo_file_ss(int *ext, double xmin, double xmax, double ymin, double ymax, double zmin, double zmax,
char *filename, int sst); char *filename, int sst);
double L2Norm(var *vf); double L2Norm(var *vf);
void L2Norm7(var **vf, double *norms);
void Find_Maximum(MyList<var> *VarList, double *XX, double *Shellf); void Find_Maximum(MyList<var> *VarList, double *XX, double *Shellf);
}; };

View File

@@ -48,7 +48,6 @@ public:
double StartTime, TotalTime; double StartTime, TotalTime;
double AnasTime, DumpTime, d2DumpTime, CheckTime; double AnasTime, DumpTime, d2DumpTime, CheckTime;
double LastAnas, LastConsOut; double LastAnas, LastConsOut;
int *ConstraintRefreshLevels;
double Courant; double Courant;
double numepss, numepsb, numepsh; double numepss, numepsb, numepsh;
int Symmetry; int Symmetry;
@@ -133,9 +132,10 @@ public:
Parallel::SyncCache *sync_cache_rp_fine; // RestrictProlong sync on PatL[lev] Parallel::SyncCache *sync_cache_rp_fine; // RestrictProlong sync on PatL[lev]
Parallel::SyncCache *sync_cache_restrict; // cached Restrict in RestrictProlong Parallel::SyncCache *sync_cache_restrict; // cached Restrict in RestrictProlong
Parallel::SyncCache *sync_cache_outbd; // cached OutBdLow2Hi 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 *ErrorMonitor, *Psi4Monitor, *BHMonitor, *MAPMonitor;
monitor *ConVMonitor, *TimingMonitor; monitor *ConVMonitor;
surface_integral *Waveshell; surface_integral *Waveshell;
checkpoint *CheckPoint; checkpoint *CheckPoint;
@@ -177,8 +177,12 @@ public:
virtual void Initialize(); virtual void Initialize();
virtual void Read_Ansorg(); virtual void Read_Ansorg();
virtual void Read_Pablo() {}; virtual void Read_Pablo() {};
void InvalidateSyncCaches();
virtual void Compute_Psi4(int lev); virtual void Compute_Psi4(int lev);
virtual void Step(int lev, int YN); 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 Interp_Constraint(bool infg);
virtual void Constraint_Out(); virtual void Constraint_Out();
virtual void Compute_Constraint(); virtual void Compute_Constraint();

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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

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@@ -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

View File

@@ -4,8 +4,6 @@
#include "bssn_macro.h" #include "bssn_macro.h"
#include "macrodef.fh" #include "macrodef.fh"
#define DEVICE_ID 0
// #define DEVICE_ID_BY_MPI_RANK
#define GRID_DIM 256 #define GRID_DIM 256
#define BLOCK_DIM 128 #define BLOCK_DIM 128
@@ -67,6 +65,42 @@ int gpu_rhs(int calledby, int mpi_rank, int *ex, double &T,
int gpu_rhs_ss(RHS_SS_PARA); int gpu_rhs_ss(RHS_SS_PARA);
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);
/** Init GPU side data in GPUMeta. */ /** Init GPU side data in GPUMeta. */
// void init_fluid_meta_gpu(GPUMeta *gpu_meta); // void init_fluid_meta_gpu(GPUMeta *gpu_meta);

View File

@@ -68,6 +68,7 @@ if(TIME_COUNT_EACH_RANK == 1){\
//3---------------------GPU--------------------- //3---------------------GPU---------------------
#define CALLED_BY_STEP 0 #define CALLED_BY_STEP 0
#define CALLED_BY_CONSTRAINT 1 #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 #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

@@ -32,19 +32,6 @@
#define f_compute_rhs_Z4c_ss compute_rhs_z4c_ss_ #define f_compute_rhs_Z4c_ss compute_rhs_z4c_ss_
#define f_compute_constraint_fr compute_constraint_fr_ #define f_compute_constraint_fr compute_constraint_fr_
#endif #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" extern "C"
{ {
int f_compute_rhs_bssn(int *, double &, double *, double *, double *, // ex,T,X,Y,Z int f_compute_rhs_bssn(int *, double &, double *, double *, double *, // ex,T,X,Y,Z

View File

@@ -2,88 +2,12 @@
#include "bssn_rhs.h" #include "bssn_rhs.h"
#include "share_func.h" #include "share_func.h"
#include "tool.h" #include "tool.h"
#include <time.h>
// 0-based i,j,k // 0-based i,j,k
// #define IDX_F(i,j,k,nx,ny) ((i) + (j)*(nx) + (k)*(nx)*(ny)) // #define IDX_F(i,j,k,nx,ny) ((i) + (j)*(nx) + (k)*(nx)*(ny))
// ex(1)=nx, ex(2)=ny, ex(3)=nz // ex(1)=nx, ex(2)=ny, ex(3)=nz
// 用法a[ IDX_F(i,j,k,nx,ny) ] // 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 // C function that calculates the right-hand side for BSSN equations
int f_compute_rhs_bssn(int *ex, double &T, int f_compute_rhs_bssn(int *ex, double &T,
double *X, double *Y, double *Z, double *X, double *Y, double *Z,
@@ -178,7 +102,6 @@ int f_compute_rhs_bssn(int *ex, double &T,
dY = Y[1] - Y[0]; dY = Y[1] - Y[0];
dZ = Z[1] - Z[0]; dZ = Z[1] - Z[0];
RHS_KERNEL_TIMER_DECL(timer_setup_derivs);
// 1ms // // 1ms //
for(int i=0;i<all;i+=1){ for(int i=0;i<all;i+=1){
alpn1[i] = Lap[i] + 1.0; 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] (dxx[i] + ONE) * betaxz[i] + gxy[i] * betayz[i] + gyz[i] * betayx[i]
+ (dzz[i] + ONE) * betazx[i] - gxz[i] * betayy[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) // Fused: inverse metric + Gamma constraint + Christoffel (3 loops -> 1)
for(int i=0;i<all;i+=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] - 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]*gupyz[i] + gupyy[i]*gupxz[i] ) * Axy[i]
+ ( gupxy[i]*gupzz[i] + gupyz[i]*gupxz[i] ) * Axz[i] + ( gupxy[i]*gupzz[i] + gupyz[i]*gupxz[i] ) * Axz[i]
+ ( gupyy[i]*gupzz[i] + gupyz[i]*gupyz[i] ) * Ayz[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 ) + Gamx_rhs[i] = - TWO * ( Lapx[i]*axx + Lapy[i]*axy + Lapz[i]*axz ) +
TWO * alpn1[i] * ( TWO * alpn1[i] * (
-F3o2/chin1[i] * ( chix[i]*axx + chiy[i]*axy + chiz[i]*axz ) - -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 ) + 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 // // 22.3ms //
fdderivs(ex,betax,gxxx,gxyx,gxzx,gyyx,gyzx,gzzx, fdderivs(ex,betax,gxxx,gxyx,gxzx,gyyx,gyzx,gzzx,
X,Y,Z,ANTI,SYM, SYM ,Symmetry,Lev); 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 lfxx = gxxx[i] + gxyy[i] + gxzz[i];
double lfxy = gxyx[i] + gyyy[i] + gyzz[i]; double lfxy = gxyx[i] + gyyy[i] + gyzz[i];
double lfxz = gxzx[i] + gyzy[i] + gzzz[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] 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] ); + 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] + 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 // // 22.3ms //
fdderivs(ex,chi,fxx,fxy,fxz,fyy,fyz,fzz,X,Y,Z,SYM,SYM,SYM,Symmetry,Lev); fdderivs(ex,chi,fxx,fxy,fxz,fyy,fyz,fzz,X,Y,Z,SYM,SYM,SYM,Symmetry,Lev);
// 7ms // // 7ms //
for (int i=0;i<all;i+=1) { for (int i=0;i<all;i+=1) {
const double inv_chin1 = ONE / chin1[i]; fxx[i] = fxx[i] - Gamxxx[i] * chix[i] - Gamyxx[i] * chiy[i] - Gamzxx[i] * chiz[i];
const double half_inv_chin1 = HALF * inv_chin1; fxy[i] = fxy[i] - Gamxxy[i] * chix[i] - Gamyxy[i] * chiy[i] - Gamzxy[i] * chiz[i];
const double scaled_inv = F3o2 * inv_chin1; fxz[i] = fxz[i] - Gamxxz[i] * chix[i] - Gamyxz[i] * chiy[i] - Gamzxz[i] * chiz[i];
const double cxx = fxx[i] - Gamxxx[i] * chix[i] - Gamyxx[i] * chiy[i] - Gamzxx[i] * chiz[i]; fyy[i] = fyy[i] - Gamxyy[i] * chix[i] - Gamyyy[i] * chiy[i] - Gamzyy[i] * chiz[i];
const double cxy = fxy[i] - Gamxxy[i] * chix[i] - Gamyxy[i] * chiy[i] - Gamzxy[i] * chiz[i]; fyz[i] = fyz[i] - Gamxyz[i] * chix[i] - Gamyyz[i] * chiy[i] - Gamzyz[i] * chiz[i];
const double cxz = fxz[i] - Gamxxz[i] * chix[i] - Gamyxz[i] * chiy[i] - Gamzxz[i] * chiz[i]; fzz[i] = fzz[i] - Gamxzz[i] * chix[i] - Gamyzz[i] * chiy[i] - Gamzzz[i] * chiz[i];
const double cyy = fyy[i] - Gamxyy[i] * chix[i] - Gamyyy[i] * chiy[i] - Gamzyy[i] * chiz[i]; f[i] =
const double cyz = fyz[i] - Gamxyz[i] * chix[i] - Gamyyz[i] * chiy[i] - Gamzyz[i] * chiz[i]; gupxx[i] * (fxx[i] - (F3o2 / chin1[i]) * chix[i] * chix[i])
const double czz = fzz[i] - Gamxzz[i] * chix[i] - Gamyzz[i] * chiy[i] - Gamzzz[i] * chiz[i]; + gupyy[i] * (fyy[i] - (F3o2 / chin1[i]) * chiy[i] * chiy[i])
const double ricci_chi = + gupzz[i] * (fzz[i] - (F3o2 / chin1[i]) * chiz[i] * chiz[i])
gupxx[i] * (cxx - scaled_inv * chix[i] * chix[i]) + TWO * gupxy[i] * (fxy[i] - (F3o2 / chin1[i]) * chix[i] * chiy[i])
+ gupyy[i] * (cyy - scaled_inv * chiy[i] * chiy[i]) + TWO * gupxz[i] * (fxz[i] - (F3o2 / chin1[i]) * chix[i] * chiz[i])
+ gupzz[i] * (czz - scaled_inv * chiz[i] * chiz[i]) + TWO * gupyz[i] * (fyz[i] - (F3o2 / chin1[i]) * chiy[i] * chiz[i]);
+ TWO * gupxy[i] * (cxy - scaled_inv * chix[i] * chiy[i]) Rxx[i] = Rxx[i] + ( fxx[i] - (chix[i] * chix[i]) / (chin1[i] * TWO) + (dxx[i] + ONE) * f[i] ) / (chin1[i] * TWO);
+ TWO * gupxz[i] * (cxz - scaled_inv * chix[i] * chiz[i]) Ryy[i] = Ryy[i] + ( fyy[i] - (chiy[i] * chiy[i]) / (chin1[i] * TWO) + (dyy[i] + ONE) * f[i] ) / (chin1[i] * TWO);
+ TWO * gupyz[i] * (cyz - scaled_inv * chiy[i] * chiz[i]); Rzz[i] = Rzz[i] + ( fzz[i] - (chiz[i] * chiz[i]) / (chin1[i] * TWO) + (dzz[i] + ONE) * f[i] ) / (chin1[i] * TWO);
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;
Rxy[i] = Rxy[i] + ( cxy - half_inv_chin1 * chix[i] * chiy[i] + gxy[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] + ( cxz - half_inv_chin1 * chix[i] * chiz[i] + gxz[i] * ricci_chi ) * half_inv_chin1; Rxz[i] = Rxz[i] + ( fxz[i] - (chix[i] * chiz[i]) / (chin1[i] * TWO) + gxz[i] * f[i] ) / (chin1[i] * TWO);
Ryz[i] = Ryz[i] + ( cyz - half_inv_chin1 * chiy[i] * chiz[i] + gyz[i] * ricci_chi ) * half_inv_chin1; Ryz[i] = Ryz[i] + ( fyz[i] - (chiy[i] * chiz[i]) / (chin1[i] * TWO) + gyz[i] * f[i] ) / (chin1[i] * TWO);
} }
// 24ms // // 24ms //
fdderivs(ex,Lap,fxx,fxy,fxz,fyy,fyz,fzz,X,Y,Z,SYM,SYM,SYM,Symmetry,Lev); 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 // // 6ms //
for (int i=0;i<all;i+=1) { for (int i=0;i<all;i+=1) {
const double inv_chin1 = ONE / chin1[i]; /* 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) */
const double gchi_x = (gupxx[i] * chix[i] + gupxy[i] * chiy[i] + gupxz[i] * chiz[i]) * inv_chin1; gxxx[i] = (gupxx[i] * chix[i] + gupxy[i] * chiy[i] + gupxz[i] * chiz[i]) / chin1[i];
const double gchi_y = (gupxy[i] * chix[i] + gupyy[i] * chiy[i] + gupyz[i] * chiz[i]) * inv_chin1; gxxy[i] = (gupxy[i] * chix[i] + gupyy[i] * chiy[i] + gupyz[i] * chiz[i]) / chin1[i];
const double gchi_z = (gupxz[i] * chix[i] + gupyz[i] * chiy[i] + gupzz[i] * chiz[i]) * inv_chin1; gxxz[i] = (gupxz[i] * chix[i] + gupyz[i] * chiy[i] + gupzz[i] * chiz[i]) / chin1[i];
/* Christoffel 修正项 */ /* Christoffel 修正项 */
Gamxxx[i] = Gamxxx[i] - ( ((chix[i] + chix[i]) * inv_chin1) - (dxx[i] + ONE) * gchi_x ) * 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) * gchi_y ) * HALF; /* 原式只有 -gxx*gxxy */ 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) * gchi_z ) * HALF; Gamzxx[i] = Gamzxx[i] - ( 0.0 - (dxx[i] + ONE) * gxxz[i] ) * HALF;
Gamxyy[i] = Gamxyy[i] - ( 0.0 - (dyy[i] + ONE) * gchi_x ) * HALF; Gamxyy[i] = Gamxyy[i] - ( 0.0 - (dyy[i] + ONE) * gxxx[i] ) * HALF;
Gamyyy[i] = Gamyyy[i] - ( ((chiy[i] + chiy[i]) * inv_chin1) - (dyy[i] + ONE) * gchi_y ) * 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) * gchi_z ) * 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; Gamxzz[i] = Gamxzz[i] - ( 0.0 - (dzz[i] + ONE) * gxxx[i] ) * HALF;
Gamyzz[i] = Gamyzz[i] - ( 0.0 - (dzz[i] + ONE) * gchi_y ) * HALF; Gamyzz[i] = Gamyzz[i] - ( 0.0 - (dzz[i] + ONE) * gxxy[i] ) * HALF;
Gamzzz[i] = Gamzzz[i] - ( ((chiz[i] + chiz[i]) * inv_chin1) - (dzz[i] + ONE) * gchi_z ) * 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; Gamxxy[i] = Gamxxy[i] - ( ( chiy[i] / chin1[i]) - gxy[i] * gxxx[i] ) * HALF;
Gamyxy[i] = Gamyxy[i] - ( ( chix[i] * inv_chin1) - gxy[i] * gchi_y ) * HALF; Gamyxy[i] = Gamyxy[i] - ( ( chix[i] / chin1[i]) - gxy[i] * gxxy[i] ) * HALF;
Gamzxy[i] = Gamzxy[i] - ( 0.0 - gxy[i] * gchi_z ) * 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; Gamxxz[i] = Gamxxz[i] - ( ( chiz[i] / chin1[i]) - gxz[i] * gxxx[i] ) * HALF;
Gamyxz[i] = Gamyxz[i] - ( 0.0 - gxz[i] * gchi_y ) * HALF; Gamyxz[i] = Gamyxz[i] - ( 0.0 - gxz[i] * gxxy[i] ) * HALF;
Gamzxz[i] = Gamzxz[i] - ( ( chix[i] * inv_chin1) - gxz[i] * gchi_z ) * 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; Gamxyz[i] = Gamxyz[i] - ( 0.0 - gyz[i] * gxxx[i] ) * HALF;
Gamyyz[i] = Gamyyz[i] - ( ( chiz[i] * inv_chin1) - gyz[i] * gchi_y ) * HALF; Gamyyz[i] = Gamyyz[i] - ( ( chiz[i] / chin1[i]) - gyz[i] * gxxy[i] ) * HALF;
Gamzyz[i] = Gamzyz[i] - ( ( chiy[i] * inv_chin1) - gyz[i] * gchi_z ) * HALF; Gamzyz[i] = Gamzyz[i] - ( ( chiy[i] / chin1[i]) - gyz[i] * gxxz[i] ) * HALF;
/* fxx..fyz 修正:减去 Γ * ∂Lap */ /* fxx..fyz 修正:减去 Γ * ∂Lap */
fxx[i] = fxx[i] - Gamxxx[i] * Lapx[i] - Gamyxx[i] * Lapy[i] - Gamzxx[i] * Lapz[i]; 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] 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] ); + 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 // // 2.5ms //
for (int i=0;i<all;i+=1) { for (int i=0;i<all;i+=1) {
const double divb = betaxx[i] + betayy[i] + betazz[i]; const double divb = betaxx[i] + betayy[i] + betazz[i];
@@ -1106,9 +1022,16 @@ int f_compute_rhs_bssn(int *ex, double &T,
+ gupyz[i] * dtSfy_rhs[i] * dtSfz_rhs[i] ); + gupyz[i] * dtSfy_rhs[i] * dtSfz_rhs[i] );
#if (GAUGE == 2) #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 #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 #endif
dtSfx_rhs[i] = Gamx_rhs[i] - reta[i] * dtSfx[i]; dtSfx_rhs[i] = Gamx_rhs[i] - reta[i] * dtSfx[i];
@@ -1124,9 +1047,16 @@ int f_compute_rhs_bssn(int *ex, double &T,
+ gupyz[i] * dtSfy_rhs[i] * dtSfz_rhs[i] ); + gupyz[i] * dtSfy_rhs[i] * dtSfz_rhs[i] );
#if (GAUGE == 4) #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 #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 #endif
betax_rhs[i] = FF * Gamx[i] - reta[i] * betax[i]; 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]; dtSfz_rhs[i] = Gamz_rhs[i] - reta[i] * dtSfz[i];
#endif #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 // 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,dxx,gxx_rhs,betax,betay,betaz,Symmetry,SSS,eps);
lopsided_kodis(ex,X,Y,Z,Gamz,Gamz_rhs,betax,betay,betaz,Symmetry,SSA,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]; movz_Res[i] = movz_Res[i] - F2o3*Kz[i] - F8*PI*Sz[i];
} }
} }
RHS_KERNEL_TIMER_ADD(KB_KO_CONSTRAINT, timer_ko_constraint);

View File

@@ -27,6 +27,10 @@ using namespace std;
#include "cgh.h" #include "cgh.h"
#include "Parallel.h" #include "Parallel.h"
#include "parameters.h" #include "parameters.h"
#ifdef USE_GPU
#include "bssn_gpu.h"
#include "bssn_cuda_ops.h"
#endif
//================================================================================================ //================================================================================================
@@ -885,6 +889,13 @@ void cgh::recompose_cgh(int nprocs, bool *lev_flag,
bool CC = (lev > trfls); bool CC = (lev > trfls);
Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC); 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]); Parallel::KillBlocks(PatL[lev]);
PatL[lev]->destroyList(); PatL[lev]->destroyList();
PatL[lev] = tmPat; PatL[lev] = tmPat;
@@ -914,6 +925,13 @@ void cgh::recompose_cgh(int nprocs, bool *lev_flag,
bool CC = (lev > trfls); bool CC = (lev > trfls);
Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC); 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]); Parallel::KillBlocks(PatL[lev]);
PatL[lev]->destroyList(); PatL[lev]->destroyList();
PatL[lev] = tmPat; PatL[lev] = tmPat;
@@ -1522,6 +1540,13 @@ void cgh::recompose_cgh_Onelevel(int nprocs, int lev,
bool CC = (lev > trfls); bool CC = (lev > trfls);
Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC); 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]); Parallel::KillBlocks(PatL[lev]);
PatL[lev]->destroyList(); PatL[lev]->destroyList();
PatL[lev] = tmPat; PatL[lev] = tmPat;
@@ -1545,6 +1570,13 @@ void cgh::recompose_cgh_Onelevel(int nprocs, int lev,
Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC); 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"); 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]); Parallel::KillBlocks(PatL[lev]);
PatL[lev]->destroyList(); PatL[lev]->destroyList();
PatL[lev] = tmPat; PatL[lev] = tmPat;

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