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Author SHA1 Message Date
3f7e20f702 删除diff_new.f90中冗余部分,方便后续工作 2026-02-08 00:54:23 +08:00
673dd20722 对fmisc.f90的polint修改 2026-02-07 01:56:44 +08:00
38 changed files with 14385 additions and 20249 deletions

5
.gitignore vendored
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@@ -1,6 +1,3 @@
__pycache__ __pycache__
GW150914 GW150914
GW150914-origin GW150914-origin
docs
*.tmp

445
AMSS_NCKU_ABEtest.py Normal file
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@@ -0,0 +1,445 @@
##################################################################
##
## AMSS-NCKU ABE Test Program (Skip TwoPuncture if data exists)
## Modified from AMSS_NCKU_Program.py
## Author: Xiaoqu
## Modified: 2026/02/01
##
##################################################################
##################################################################
## Print program introduction
import print_information
print_information.print_program_introduction()
##################################################################
import AMSS_NCKU_Input as input_data
##################################################################
## Create directories to store program run data
import os
import shutil
import sys
import time
## Set the output directory according to the input file
File_directory = os.path.join(input_data.File_directory)
## Check if output directory exists and if TwoPuncture data is available
skip_twopuncture = False
output_directory = os.path.join(File_directory, "AMSS_NCKU_output")
binary_results_directory = os.path.join(output_directory, input_data.Output_directory)
if os.path.exists(File_directory):
print( " Output directory already exists." )
print()
# Check if TwoPuncture initial data files exist
if (input_data.Initial_Data_Method == "Ansorg-TwoPuncture"):
twopuncture_output = os.path.join(output_directory, "TwoPunctureABE")
input_par = os.path.join(output_directory, "input.par")
if os.path.exists(twopuncture_output) and os.path.exists(input_par):
print( " Found existing TwoPuncture initial data." )
print( " Do you want to skip TwoPuncture phase and reuse existing data?" )
print( " Input 'skip' to skip TwoPuncture and start ABE directly" )
print( " Input 'regenerate' to regenerate everything from scratch" )
print()
while True:
try:
inputvalue = input()
if ( inputvalue == "skip" ):
print( " Skipping TwoPuncture phase, will reuse existing initial data." )
print()
skip_twopuncture = True
break
elif ( inputvalue == "regenerate" ):
print( " Regenerating everything from scratch." )
print()
skip_twopuncture = False
break
else:
print( " Please input 'skip' or 'regenerate'." )
except ValueError:
print( " Please input 'skip' or 'regenerate'." )
else:
print( " TwoPuncture initial data not found, will regenerate everything." )
print()
# If not skipping, remove and recreate directory
if not skip_twopuncture:
shutil.rmtree(File_directory, ignore_errors=True)
os.mkdir(File_directory)
os.mkdir(output_directory)
os.mkdir(binary_results_directory)
figure_directory = os.path.join(File_directory, "figure")
os.mkdir(figure_directory)
shutil.copy("AMSS_NCKU_Input.py", File_directory)
print( " Output directory has been regenerated." )
print()
else:
# Create fresh directory structure
os.mkdir(File_directory)
shutil.copy("AMSS_NCKU_Input.py", File_directory)
os.mkdir(output_directory)
os.mkdir(binary_results_directory)
figure_directory = os.path.join(File_directory, "figure")
os.mkdir(figure_directory)
print( " Output directory has been generated." )
print()
# Ensure figure directory exists
figure_directory = os.path.join(File_directory, "figure")
if not os.path.exists(figure_directory):
os.mkdir(figure_directory)
##################################################################
## Output related parameter information
import setup
## Print and save input parameter information
setup.print_input_data( File_directory )
if not skip_twopuncture:
setup.generate_AMSSNCKU_input()
setup.print_puncture_information()
##################################################################
## Generate AMSS-NCKU program input files based on the configured parameters
if not skip_twopuncture:
print()
print( " Generating the AMSS-NCKU input parfile for the ABE executable." )
print()
## Generate cgh-related input files from the grid information
import numerical_grid
numerical_grid.append_AMSSNCKU_cgh_input()
print()
print( " The input parfile for AMSS-NCKU C++ executable file ABE has been generated." )
print( " However, the input relevant to TwoPuncture need to be appended later." )
print()
##################################################################
## Plot the initial grid configuration
if not skip_twopuncture:
print()
print( " Schematically plot the numerical grid structure." )
print()
import numerical_grid
numerical_grid.plot_initial_grid()
##################################################################
## Generate AMSS-NCKU macro files according to the numerical scheme and parameters
if not skip_twopuncture:
print()
print( " Automatically generating the macro file for AMSS-NCKU C++ executable file ABE " )
print( " (Based on the finite-difference numerical scheme) " )
print()
import generate_macrodef
generate_macrodef.generate_macrodef_h()
print( " AMSS-NCKU macro file macrodef.h has been generated. " )
generate_macrodef.generate_macrodef_fh()
print( " AMSS-NCKU macro file macrodef.fh has been generated. " )
##################################################################
# Compile the AMSS-NCKU program according to user requirements
# NOTE: ABE compilation is always performed, even when skipping TwoPuncture
print()
print( " Preparing to compile and run the AMSS-NCKU code as requested " )
print( " Compiling the AMSS-NCKU code based on the generated macro files " )
print()
AMSS_NCKU_source_path = "AMSS_NCKU_source"
AMSS_NCKU_source_copy = os.path.join(File_directory, "AMSS_NCKU_source_copy")
## If AMSS_NCKU source folder is missing, create it and prompt the user
if not os.path.exists(AMSS_NCKU_source_path):
os.makedirs(AMSS_NCKU_source_path)
print( " The AMSS-NCKU source files are incomplete; copy all source files into ./AMSS_NCKU_source. " )
print( " Press Enter to continue. " )
inputvalue = input()
# Copy AMSS-NCKU source files to prepare for compilation
# If skipping TwoPuncture and source_copy already exists, remove it first
if skip_twopuncture and os.path.exists(AMSS_NCKU_source_copy):
shutil.rmtree(AMSS_NCKU_source_copy)
shutil.copytree(AMSS_NCKU_source_path, AMSS_NCKU_source_copy)
# Copy the generated macro files into the AMSS_NCKU source folder
if not skip_twopuncture:
macrodef_h_path = os.path.join(File_directory, "macrodef.h")
macrodef_fh_path = os.path.join(File_directory, "macrodef.fh")
else:
# When skipping TwoPuncture, use existing macro files from previous run
macrodef_h_path = os.path.join(File_directory, "macrodef.h")
macrodef_fh_path = os.path.join(File_directory, "macrodef.fh")
shutil.copy2(macrodef_h_path, AMSS_NCKU_source_copy)
shutil.copy2(macrodef_fh_path, AMSS_NCKU_source_copy)
# Compile related programs
import makefile_and_run
## Change working directory to the target source copy
os.chdir(AMSS_NCKU_source_copy)
## Build the main AMSS-NCKU executable (ABE or ABEGPU)
makefile_and_run.makefile_ABE()
## If the initial-data method is Ansorg-TwoPuncture, build the TwoPunctureABE executable
## Only build TwoPunctureABE if not skipping TwoPuncture phase
if (input_data.Initial_Data_Method == "Ansorg-TwoPuncture" ) and not skip_twopuncture:
makefile_and_run.makefile_TwoPunctureABE()
## Change current working directory back up two levels
os.chdir('..')
os.chdir('..')
print()
##################################################################
## Copy the AMSS-NCKU executable (ABE/ABEGPU) to the run directory
if (input_data.GPU_Calculation == "no"):
ABE_file = os.path.join(AMSS_NCKU_source_copy, "ABE")
elif (input_data.GPU_Calculation == "yes"):
ABE_file = os.path.join(AMSS_NCKU_source_copy, "ABEGPU")
if not os.path.exists( ABE_file ):
print()
print( " Lack of AMSS-NCKU executable file ABE/ABEGPU; recompile AMSS_NCKU_source manually. " )
print( " When recompilation is finished, press Enter to continue. " )
inputvalue = input()
## Copy the executable ABE (or ABEGPU) into the run directory
shutil.copy2(ABE_file, output_directory)
## If the initial-data method is TwoPuncture, copy the TwoPunctureABE executable to the run directory
## Only copy TwoPunctureABE if not skipping TwoPuncture phase
if (input_data.Initial_Data_Method == "Ansorg-TwoPuncture" ) and not skip_twopuncture:
TwoPuncture_file = os.path.join(AMSS_NCKU_source_copy, "TwoPunctureABE")
if not os.path.exists( TwoPuncture_file ):
print()
print( " Lack of AMSS-NCKU executable file TwoPunctureABE; recompile TwoPunctureABE in AMSS_NCKU_source. " )
print( " When recompilation is finished, press Enter to continue. " )
inputvalue = input()
## Copy the TwoPunctureABE executable into the run directory
shutil.copy2(TwoPuncture_file, output_directory)
##################################################################
## If the initial-data method is TwoPuncture, generate the TwoPuncture input files
if (input_data.Initial_Data_Method == "Ansorg-TwoPuncture" ) and not skip_twopuncture:
print()
print( " Initial data is chosen as Ansorg-TwoPuncture" )
print()
print()
print( " Automatically generating the input parfile for the TwoPunctureABE executable " )
print()
import generate_TwoPuncture_input
generate_TwoPuncture_input.generate_AMSSNCKU_TwoPuncture_input()
print()
print( " The input parfile for the TwoPunctureABE executable has been generated. " )
print()
## Generated AMSS-NCKU TwoPuncture input filename
AMSS_NCKU_TwoPuncture_inputfile = 'AMSS-NCKU-TwoPuncture.input'
AMSS_NCKU_TwoPuncture_inputfile_path = os.path.join( File_directory, AMSS_NCKU_TwoPuncture_inputfile )
## Copy and rename the file
shutil.copy2( AMSS_NCKU_TwoPuncture_inputfile_path, os.path.join(output_directory, 'TwoPunctureinput.par') )
## Run TwoPuncture to generate initial-data files
start_time = time.time() # Record start time
print()
print()
## Change to the output (run) directory
os.chdir(output_directory)
## Run the TwoPuncture executable
import makefile_and_run
makefile_and_run.run_TwoPunctureABE()
## Change current working directory back up two levels
os.chdir('..')
os.chdir('..')
elif (input_data.Initial_Data_Method == "Ansorg-TwoPuncture" ) and skip_twopuncture:
print()
print( " Skipping TwoPuncture execution, using existing initial data." )
print()
start_time = time.time() # Record start time for ABE only
else:
start_time = time.time() # Record start time
##################################################################
## Update puncture data based on TwoPuncture run results
if not skip_twopuncture:
import renew_puncture_parameter
renew_puncture_parameter.append_AMSSNCKU_BSSN_input(File_directory, output_directory)
## Generated AMSS-NCKU input filename
AMSS_NCKU_inputfile = 'AMSS-NCKU.input'
AMSS_NCKU_inputfile_path = os.path.join(File_directory, AMSS_NCKU_inputfile)
## Copy and rename the file
shutil.copy2( AMSS_NCKU_inputfile_path, os.path.join(output_directory, 'input.par') )
print()
print( " Successfully copy all AMSS-NCKU input parfile to target dictionary. " )
print()
else:
print()
print( " Using existing input.par file from previous run." )
print()
##################################################################
## Launch the AMSS-NCKU program
print()
print()
## Change to the run directory
os.chdir( output_directory )
import makefile_and_run
makefile_and_run.run_ABE()
## Change current working directory back up two levels
os.chdir('..')
os.chdir('..')
end_time = time.time()
elapsed_time = end_time - start_time
##################################################################
## Copy some basic input and log files out to facilitate debugging
## Path to the file that stores calculation settings
AMSS_NCKU_error_file_path = os.path.join(binary_results_directory, "setting.par")
## Copy and rename the file for easier inspection
shutil.copy( AMSS_NCKU_error_file_path, os.path.join(output_directory, "AMSSNCKU_setting_parameter") )
## Path to the error log file
AMSS_NCKU_error_file_path = os.path.join(binary_results_directory, "Error.log")
## Copy and rename the error log
shutil.copy( AMSS_NCKU_error_file_path, os.path.join(output_directory, "Error.log") )
## Primary program outputs
AMSS_NCKU_BH_data = os.path.join(binary_results_directory, "bssn_BH.dat" )
AMSS_NCKU_ADM_data = os.path.join(binary_results_directory, "bssn_ADMQs.dat" )
AMSS_NCKU_psi4_data = os.path.join(binary_results_directory, "bssn_psi4.dat" )
AMSS_NCKU_constraint_data = os.path.join(binary_results_directory, "bssn_constraint.dat")
## copy and rename the file
shutil.copy( AMSS_NCKU_BH_data, os.path.join(output_directory, "bssn_BH.dat" ) )
shutil.copy( AMSS_NCKU_ADM_data, os.path.join(output_directory, "bssn_ADMQs.dat" ) )
shutil.copy( AMSS_NCKU_psi4_data, os.path.join(output_directory, "bssn_psi4.dat" ) )
shutil.copy( AMSS_NCKU_constraint_data, os.path.join(output_directory, "bssn_constraint.dat") )
## Additional program outputs
if (input_data.Equation_Class == "BSSN-EM"):
AMSS_NCKU_phi1_data = os.path.join(binary_results_directory, "bssn_phi1.dat" )
AMSS_NCKU_phi2_data = os.path.join(binary_results_directory, "bssn_phi2.dat" )
shutil.copy( AMSS_NCKU_phi1_data, os.path.join(output_directory, "bssn_phi1.dat" ) )
shutil.copy( AMSS_NCKU_phi2_data, os.path.join(output_directory, "bssn_phi2.dat" ) )
elif (input_data.Equation_Class == "BSSN-EScalar"):
AMSS_NCKU_maxs_data = os.path.join(binary_results_directory, "bssn_maxs.dat" )
shutil.copy( AMSS_NCKU_maxs_data, os.path.join(output_directory, "bssn_maxs.dat" ) )
##################################################################
## Plot the AMSS-NCKU program results
print()
print( " Plotting the txt and binary results data from the AMSS-NCKU simulation " )
print()
import plot_xiaoqu
import plot_GW_strain_amplitude_xiaoqu
## Plot black hole trajectory
plot_xiaoqu.generate_puncture_orbit_plot( binary_results_directory, figure_directory )
plot_xiaoqu.generate_puncture_orbit_plot3D( binary_results_directory, figure_directory )
## Plot black hole separation vs. time
plot_xiaoqu.generate_puncture_distence_plot( binary_results_directory, figure_directory )
## Plot gravitational waveforms (psi4 and strain amplitude)
for i in range(input_data.Detector_Number):
plot_xiaoqu.generate_gravitational_wave_psi4_plot( binary_results_directory, figure_directory, i )
plot_GW_strain_amplitude_xiaoqu.generate_gravitational_wave_amplitude_plot( binary_results_directory, figure_directory, i )
## Plot ADM mass evolution
for i in range(input_data.Detector_Number):
plot_xiaoqu.generate_ADMmass_plot( binary_results_directory, figure_directory, i )
## Plot Hamiltonian constraint violation over time
for i in range(input_data.grid_level):
plot_xiaoqu.generate_constraint_check_plot( binary_results_directory, figure_directory, i )
## Plot stored binary data
plot_xiaoqu.generate_binary_data_plot( binary_results_directory, figure_directory )
print()
print( f" This Program Cost = {elapsed_time} Seconds " )
print()
##################################################################
print()
print( " The AMSS-NCKU-Python simulation is successfully finished, thanks for using !!! " )
print()
##################################################################

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@@ -8,14 +8,6 @@
## ##
################################################################## ##################################################################
## Guard against re-execution by multiprocessing child processes.
## Without this, using 'spawn' or 'forkserver' context would cause every
## worker to re-run the entire script, spawning exponentially more
## workers (fork bomb).
if __name__ != '__main__':
import sys as _sys
_sys.exit(0)
################################################################## ##################################################################
@@ -66,8 +58,7 @@ if os.path.exists(File_directory):
## Prompt whether to overwrite the existing directory ## Prompt whether to overwrite the existing directory
while True: while True:
try: try:
## inputvalue = input() inputvalue = input()
inputvalue = "continue"
## If the user agrees to overwrite, proceed and remove the existing directory ## If the user agrees to overwrite, proceed and remove the existing directory
if ( inputvalue == "continue" ): if ( inputvalue == "continue" ):
print( " Continue the calculation !!! " ) print( " Continue the calculation !!! " )
@@ -433,31 +424,26 @@ print(
import plot_xiaoqu import plot_xiaoqu
import plot_GW_strain_amplitude_xiaoqu import plot_GW_strain_amplitude_xiaoqu
from parallel_plot_helper import run_plot_tasks_parallel
plot_tasks = []
## Plot black hole trajectory ## Plot black hole trajectory
plot_tasks.append( ( plot_xiaoqu.generate_puncture_orbit_plot, (binary_results_directory, figure_directory) ) ) plot_xiaoqu.generate_puncture_orbit_plot( binary_results_directory, figure_directory )
plot_tasks.append( ( plot_xiaoqu.generate_puncture_orbit_plot3D, (binary_results_directory, figure_directory) ) ) plot_xiaoqu.generate_puncture_orbit_plot3D( binary_results_directory, figure_directory )
## Plot black hole separation vs. time ## Plot black hole separation vs. time
plot_tasks.append( ( plot_xiaoqu.generate_puncture_distence_plot, (binary_results_directory, figure_directory) ) ) plot_xiaoqu.generate_puncture_distence_plot( binary_results_directory, figure_directory )
## Plot gravitational waveforms (psi4 and strain amplitude) ## Plot gravitational waveforms (psi4 and strain amplitude)
for i in range(input_data.Detector_Number): for i in range(input_data.Detector_Number):
plot_tasks.append( ( plot_xiaoqu.generate_gravitational_wave_psi4_plot, (binary_results_directory, figure_directory, i) ) ) plot_xiaoqu.generate_gravitational_wave_psi4_plot( binary_results_directory, figure_directory, i )
plot_tasks.append( ( plot_GW_strain_amplitude_xiaoqu.generate_gravitational_wave_amplitude_plot, (binary_results_directory, figure_directory, i) ) ) plot_GW_strain_amplitude_xiaoqu.generate_gravitational_wave_amplitude_plot( binary_results_directory, figure_directory, i )
## Plot ADM mass evolution ## Plot ADM mass evolution
for i in range(input_data.Detector_Number): for i in range(input_data.Detector_Number):
plot_tasks.append( ( plot_xiaoqu.generate_ADMmass_plot, (binary_results_directory, figure_directory, i) ) ) plot_xiaoqu.generate_ADMmass_plot( binary_results_directory, figure_directory, i )
## Plot Hamiltonian constraint violation over time ## Plot Hamiltonian constraint violation over time
for i in range(input_data.grid_level): for i in range(input_data.grid_level):
plot_tasks.append( ( plot_xiaoqu.generate_constraint_check_plot, (binary_results_directory, figure_directory, i) ) ) plot_xiaoqu.generate_constraint_check_plot( binary_results_directory, figure_directory, i )
run_plot_tasks_parallel(plot_tasks)
## Plot stored binary data ## Plot stored binary data
plot_xiaoqu.generate_binary_data_plot( binary_results_directory, figure_directory ) plot_xiaoqu.generate_binary_data_plot( binary_results_directory, figure_directory )

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@@ -277,3 +277,4 @@ def main():
if __name__ == "__main__": if __name__ == "__main__":
main() main()

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@@ -37,51 +37,57 @@ close(77)
end program checkFFT end program checkFFT
#endif #endif
!-------------
! Optimized FFT using Intel oneMKL DFTI
! Mathematical equivalence: Standard DFT definition
! Forward (isign=1): X[k] = sum_{n=0}^{N-1} x[n] * exp(-2*pi*i*k*n/N)
! Backward (isign=-1): X[k] = sum_{n=0}^{N-1} x[n] * exp(+2*pi*i*k*n/N)
! Input/Output: dataa is interleaved complex array [Re(0),Im(0),Re(1),Im(1),...]
!------------- !-------------
SUBROUTINE four1(dataa,nn,isign) SUBROUTINE four1(dataa,nn,isign)
use MKL_DFTI
implicit none implicit none
INTEGER, intent(in) :: isign, nn INTEGER::isign,nn
DOUBLE PRECISION, dimension(2*nn), intent(inout) :: dataa double precision,dimension(2*nn)::dataa
INTEGER::i,istep,j,m,mmax,n
type(DFTI_DESCRIPTOR), pointer :: desc double precision::tempi,tempr
integer :: status DOUBLE PRECISION::theta,wi,wpi,wpr,wr,wtemp
n=2*nn
! Create DFTI descriptor for 1D complex-to-complex transform j=1
status = DftiCreateDescriptor(desc, DFTI_DOUBLE, DFTI_COMPLEX, 1, nn) do i=1,n,2
if (status /= 0) return if(j.gt.i)then
tempr=dataa(j)
! Set input/output storage as interleaved complex (default) tempi=dataa(j+1)
status = DftiSetValue(desc, DFTI_PLACEMENT, DFTI_INPLACE) dataa(j)=dataa(i)
if (status /= 0) then dataa(j+1)=dataa(i+1)
status = DftiFreeDescriptor(desc) dataa(i)=tempr
return dataa(i+1)=tempi
endif
m=nn
1 if ((m.ge.2).and.(j.gt.m)) then
j=j-m
m=m/2
goto 1
endif
j=j+m
enddo
mmax=2
2 if (n.gt.mmax) then
istep=2*mmax
theta=6.28318530717959d0/(isign*mmax)
wpr=-2.d0*sin(0.5d0*theta)**2
wpi=sin(theta)
wr=1.d0
wi=0.d0
do m=1,mmax,2
do i=m,n,istep
j=i+mmax
tempr=sngl(wr)*dataa(j)-sngl(wi)*dataa(j+1)
tempi=sngl(wr)*dataa(j+1)+sngl(wi)*dataa(j)
dataa(j)=dataa(i)-tempr
dataa(j+1)=dataa(i+1)-tempi
dataa(i)=dataa(i)+tempr
dataa(i+1)=dataa(i+1)+tempi
enddo
wtemp=wr
wr=wr*wpr-wi*wpi+wr
wi=wi*wpr+wtemp*wpi+wi
enddo
mmax=istep
goto 2
endif endif
! Commit the descriptor
status = DftiCommitDescriptor(desc)
if (status /= 0) then
status = DftiFreeDescriptor(desc)
return
endif
! Execute FFT based on direction
if (isign == 1) then
! Forward FFT: exp(-2*pi*i*k*n/N)
status = DftiComputeForward(desc, dataa)
else
! Backward FFT: exp(+2*pi*i*k*n/N)
status = DftiComputeBackward(desc, dataa)
endif
! Free descriptor
status = DftiFreeDescriptor(desc)
return return
END SUBROUTINE four1 END SUBROUTINE four1

File diff suppressed because it is too large Load Diff

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@@ -39,10 +39,6 @@ public:
bool Find_Point(double *XX); bool Find_Point(double *XX);
void Interp_Points(MyList<var> *VarList,
int NN, double **XX,
double *Shellf, int Symmetry,
int Nmin_consumer, int Nmax_consumer);
void Interp_Points(MyList<var> *VarList, void Interp_Points(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);

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@@ -24,7 +24,6 @@ using namespace std;
#endif #endif
#include <mpi.h> #include <mpi.h>
#include <memory.h>
#include "MyList.h" #include "MyList.h"
#include "Block.h" #include "Block.h"
#include "Parallel.h" #include "Parallel.h"

File diff suppressed because it is too large Load Diff

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@@ -1,244 +1,167 @@
#ifndef PARALLEL_H #ifndef PARALLEL_H
#define PARALLEL_H #define PARALLEL_H
#include <iostream> #include <iostream>
#include <iomanip> #include <iomanip>
#include <fstream> #include <fstream>
#include <cstdlib> #include <cstdlib>
#include <cstdio> #include <cstdio>
#include <string> #include <string>
#include <cmath> #include <cmath>
#include <new> #include <new>
using namespace std; using namespace std;
#include <memory.h>
#include "Parallel_bam.h" #include "Parallel_bam.h"
#include "var.h" #include "var.h"
#include "MPatch.h" #include "MPatch.h"
#include "Block.h" #include "Block.h"
#include "MyList.h" #include "MyList.h"
#include "macrodef.h" //need dim; ghost_width; CONTRACT #include "macrodef.h" //need dim; ghost_width; CONTRACT
namespace Parallel namespace Parallel
{ {
struct gridseg struct gridseg
{ {
double llb[dim]; double llb[dim];
double uub[dim]; double uub[dim];
int shape[dim]; int shape[dim];
double illb[dim], iuub[dim]; // only use for OutBdLow2Hi double illb[dim], iuub[dim]; // only use for OutBdLow2Hi
Block *Bg; Block *Bg;
}; };
int partition1(int &nx, int split_size, int min_width, int cpusize, int shape); // special for 1 diemnsion int partition1(int &nx, int split_size, int min_width, int cpusize, int shape); // special for 1 diemnsion
int partition2(int *nxy, int split_size, int *min_width, int cpusize, int *shape); // special for 2 diemnsions int partition2(int *nxy, int split_size, int *min_width, int cpusize, int *shape); // special for 2 diemnsions
int partition3(int *nxyz, int split_size, int *min_width, int cpusize, int *shape); int partition3(int *nxyz, int split_size, int *min_width, int cpusize, int *shape);
MyList<Block> *distribute(MyList<Patch> *PatchLIST, int cpusize, int ingfsi, int fngfs, bool periodic, int nodes = 0); // produce corresponding Blocks MyList<Block> *distribute(MyList<Patch> *PatchLIST, int cpusize, int ingfsi, int fngfs, bool periodic, int nodes = 0); // produce corresponding Blocks
void KillBlocks(MyList<Patch> *PatchLIST);
MyList<Block> *distribute_hard(MyList<Patch> *PatchLIST, int cpusize, int ingfsi, int fngfs, bool periodic, int nodes = 0); // produce corresponding Blocks
Block* splitHotspotBlock(MyList<Block>* &BlL, int _dim, void setfunction(MyList<Block> *BlL, var *vn, double func(double x, double y, double z));
int ib0_orig, int ib3_orig, void setfunction(int rank, MyList<Block> *BlL, var *vn, double func(double x, double y, double z));
int jb1_orig, int jb4_orig, void writefile(double time, int nx, int ny, int nz, double xmin, double xmax, double ymin, double ymax,
int kb2_orig, int kb5_orig, double zmin, double zmax, char *filename, double *data_out);
Patch* PP, int r_1, int r_2, void writefile(double time, int nx, int ny, double xmin, double xmax, double ymin, double ymax,
int ingfsi, int fngfsi, bool periodic, char *filename, double *datain);
Block* &split_first_block, Block* &split_last_block); void getarrayindex(int DIM, int *shape, int *index, int n);
int getarraylocation(int DIM, int *shape, int *index);
Block* splitHotspotBlock(MyList<Block>* &BlL, int _dim, void copy(int DIM, double *llbout, double *uubout, int *Dshape, double *DD, double *llbin, double *uubin,
int ib0_orig, int ib3_orig, int *shape, double *datain, double *llb, double *uub);
int jb1_orig, int jb4_orig, void Dump_CPU_Data(MyList<Block> *BlL, MyList<var> *DumpList, char *tag, double time, double dT);
int kb2_orig, int kb5_orig, void Dump_Data(MyList<Patch> *PL, MyList<var> *DumpList, char *tag, double time, double dT);
Patch* PP, int r_1, int r_2, int r_3, int r_4, void Dump_Data(Patch *PP, MyList<var> *DumpList, char *tag, double time, double dT, int grd);
int ingfsi, int fngfsi, bool periodic, double *Collect_Data(Patch *PP, var *VP);
Block* &split_first_block, Block* &split_last_block); void d2Dump_Data(MyList<Patch> *PL, MyList<var> *DumpList, char *tag, double time, double dT);
Block* createMappedBlock(MyList<Block>* &BlL, int _dim, int* shape, double* bbox, void d2Dump_Data(Patch *PP, MyList<var> *DumpList, char *tag, double time, double dT, int grd);
int block_id, int ingfsi, int fngfsi, int lev); void Dump_Data0(Patch *PP, MyList<var> *DumpList, char *tag, double time, double dT);
void KillBlocks(MyList<Patch> *PatchLIST); double global_interp(int DIM, int *ext, double **CoX, double *datain,
double *poX, int ordn, double *SoA, int Symmetry);
void setfunction(MyList<Block> *BlL, var *vn, double func(double x, double y, double z)); double global_interp(int DIM, int *ext, double **CoX, double *datain,
void setfunction(int rank, MyList<Block> *BlL, var *vn, double func(double x, double y, double z)); double *poX, int ordn);
void writefile(double time, int nx, int ny, int nz, double xmin, double xmax, double ymin, double ymax, double Lagrangian_Int(double x, int npts, double *xpts, double *funcvals);
double zmin, double zmax, char *filename, double *data_out); double LagrangePoly(double x, int pt, int npts, double *xpts);
void writefile(double time, int nx, int ny, double xmin, double xmax, double ymin, double ymax, MyList<gridseg> *build_complete_gsl(Patch *Pat);
char *filename, double *datain); MyList<gridseg> *build_complete_gsl(MyList<Patch> *PatL);
void getarrayindex(int DIM, int *shape, int *index, int n); MyList<gridseg> *build_complete_gsl_virtual(MyList<Patch> *PatL);
int getarraylocation(int DIM, int *shape, int *index); MyList<gridseg> *build_complete_gsl_virtual2(MyList<Patch> *PatL); // - buffer
void copy(int DIM, double *llbout, double *uubout, int *Dshape, double *DD, double *llbin, double *uubin, MyList<gridseg> *build_owned_gsl0(Patch *Pat, int rank_in); // - ghost without extension, special for Sync usage
int *shape, double *datain, double *llb, double *uub); MyList<gridseg> *build_owned_gsl1(Patch *Pat, int rank_in); // - ghost, similar to build_owned_gsl0 but extend one point on left side for vertex grid
void Dump_CPU_Data(MyList<Block> *BlL, MyList<var> *DumpList, char *tag, double time, double dT); MyList<gridseg> *build_owned_gsl2(Patch *Pat, int rank_in); // - buffer - ghost
void Dump_Data(MyList<Patch> *PL, MyList<var> *DumpList, char *tag, double time, double dT); MyList<gridseg> *build_owned_gsl3(Patch *Pat, int rank_in, int Symmetry); // - ghost - BD ghost
void Dump_Data(Patch *PP, MyList<var> *DumpList, char *tag, double time, double dT, int grd); MyList<gridseg> *build_owned_gsl4(Patch *Pat, int rank_in, int Symmetry); // - buffer - ghost - BD ghost
double *Collect_Data(Patch *PP, var *VP); MyList<gridseg> *build_owned_gsl5(Patch *Pat, int rank_in); // similar to build_owned_gsl2 but no extension
void d2Dump_Data(MyList<Patch> *PL, MyList<var> *DumpList, char *tag, double time, double dT); MyList<gridseg> *build_owned_gsl(MyList<Patch> *PatL, int rank_in, int type, int Symmetry);
void d2Dump_Data(Patch *PP, MyList<var> *DumpList, char *tag, double time, double dT, int grd); void build_gstl(MyList<gridseg> *srci, MyList<gridseg> *dsti, MyList<gridseg> **out_src, MyList<gridseg> **out_dst);
void Dump_Data0(Patch *PP, MyList<var> *DumpList, char *tag, double time, double dT); int data_packer(double *data, MyList<gridseg> *src, MyList<gridseg> *dst, int rank_in, int dir,
double global_interp(int DIM, int *ext, double **CoX, double *datain, MyList<var> *VarLists, MyList<var> *VarListd, int Symmetry);
double *poX, int ordn, double *SoA, int Symmetry); void transfer(MyList<gridseg> **src, MyList<gridseg> **dst,
double global_interp(int DIM, int *ext, double **CoX, double *datain, MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /*target */,
double *poX, int ordn); int Symmetry);
double Lagrangian_Int(double x, int npts, double *xpts, double *funcvals); int data_packermix(double *data, MyList<gridseg> *src, MyList<gridseg> *dst, int rank_in, int dir,
double LagrangePoly(double x, int pt, int npts, double *xpts); MyList<var> *VarLists, MyList<var> *VarListd, int Symmetry);
MyList<gridseg> *build_complete_gsl(Patch *Pat); void transfermix(MyList<gridseg> **src, MyList<gridseg> **dst,
MyList<gridseg> *build_complete_gsl(MyList<Patch> *PatL); MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /*target */,
MyList<gridseg> *build_complete_gsl_virtual(MyList<Patch> *PatL); int Symmetry);
MyList<gridseg> *build_complete_gsl_virtual2(MyList<Patch> *PatL); // - buffer void Sync(Patch *Pat, MyList<var> *VarList, int Symmetry);
MyList<gridseg> *build_owned_gsl0(Patch *Pat, int rank_in); // - ghost without extension, special for Sync usage void Sync(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry);
MyList<gridseg> *build_owned_gsl1(Patch *Pat, int rank_in); // - ghost, similar to build_owned_gsl0 but extend one point on left side for vertex grid void OutBdLow2Hi(Patch *Patc, Patch *Patf,
MyList<gridseg> *build_owned_gsl2(Patch *Pat, int rank_in); // - buffer - ghost MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */,
MyList<gridseg> *build_owned_gsl3(Patch *Pat, int rank_in, int Symmetry); // - ghost - BD ghost int Symmetry);
MyList<gridseg> *build_owned_gsl4(Patch *Pat, int rank_in, int Symmetry); // - buffer - ghost - BD ghost void OutBdLow2Hi(MyList<Patch> *PatcL, MyList<Patch> *PatfL,
MyList<gridseg> *build_owned_gsl5(Patch *Pat, int rank_in); // similar to build_owned_gsl2 but no extension MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */,
MyList<gridseg> *build_owned_gsl(MyList<Patch> *PatL, int rank_in, int type, int Symmetry); int Symmetry);
void build_gstl(MyList<gridseg> *srci, MyList<gridseg> *dsti, MyList<gridseg> **out_src, MyList<gridseg> **out_dst); void OutBdLow2Himix(Patch *Patc, Patch *Patf,
int data_packer(double *data, MyList<gridseg> *src, MyList<gridseg> *dst, int rank_in, int dir, MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */,
MyList<var> *VarLists, MyList<var> *VarListd, int Symmetry); int Symmetry);
void transfer(MyList<gridseg> **src, MyList<gridseg> **dst, void OutBdLow2Himix(MyList<Patch> *PatcL, MyList<Patch> *PatfL,
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /*target */, MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */,
int Symmetry); int Symmetry);
int data_packermix(double *data, MyList<gridseg> *src, MyList<gridseg> *dst, int rank_in, int dir, void Prolong(Patch *Patc, Patch *Patf,
MyList<var> *VarLists, MyList<var> *VarListd, int Symmetry); MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */,
void transfermix(MyList<gridseg> **src, MyList<gridseg> **dst, int Symmetry);
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /*target */, void Prolongint(Patch *Patc, Patch *Patf,
int Symmetry); MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */,
void Sync(Patch *Pat, MyList<var> *VarList, int Symmetry); int Symmetry);
void Sync(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry); void Restrict(MyList<Patch> *PatcL, MyList<Patch> *PatfL,
void Sync_merged(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry); MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */,
int Symmetry);
struct SyncCache { void Restrict_after(MyList<Patch> *PatcL, MyList<Patch> *PatfL,
bool valid; MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */,
int cpusize; int Symmetry); // for -ghost - BDghost
MyList<gridseg> **combined_src; MyList<Parallel::gridseg> *build_PhysBD_gsl(Patch *Pat);
MyList<gridseg> **combined_dst; MyList<Parallel::gridseg> *build_ghost_gsl(MyList<Patch> *PatL);
int *send_lengths; MyList<Parallel::gridseg> *build_ghost_gsl(Patch *Pat);
int *recv_lengths; MyList<Parallel::gridseg> *build_buffer_gsl(Patch *Pat);
double **send_bufs; MyList<Parallel::gridseg> *build_buffer_gsl(MyList<Patch> *PatL);
double **recv_bufs; MyList<Parallel::gridseg> *gsl_subtract(MyList<Parallel::gridseg> *A, MyList<Parallel::gridseg> *B);
int *send_buf_caps; MyList<Parallel::gridseg> *gs_subtract(MyList<Parallel::gridseg> *A, MyList<Parallel::gridseg> *B);
int *recv_buf_caps; MyList<Parallel::gridseg> *gsl_and(MyList<Parallel::gridseg> *A, MyList<Parallel::gridseg> *B);
MPI_Request *reqs; MyList<Parallel::gridseg> *gs_and(MyList<Parallel::gridseg> *A, MyList<Parallel::gridseg> *B);
MPI_Status *stats; MyList<Parallel::gridseg> *clone_gsl(MyList<Parallel::gridseg> *p, bool first_only);
int max_reqs; MyList<Parallel::gridseg> *build_bulk_gsl(Patch *Pat); // similar to build_owned_gsl0 but does not care rank issue
bool lengths_valid; MyList<Parallel::gridseg> *build_bulk_gsl(Block *bp, Patch *Pat);
SyncCache(); void build_PhysBD_gstl(Patch *Pat, MyList<Parallel::gridseg> *srci, MyList<Parallel::gridseg> *dsti,
void invalidate(); MyList<Parallel::gridseg> **out_src, MyList<Parallel::gridseg> **out_dst);
void destroy(); void PeriodicBD(Patch *Pat, MyList<var> *VarList, int Symmetry);
}; double L2Norm(Patch *Pat, var *vf);
void checkgsl(MyList<Parallel::gridseg> *pp, bool first_only);
void Sync_cached(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry, SyncCache &cache); void checkvarl(MyList<var> *pp, bool first_only);
void transfer_cached(MyList<gridseg> **src, MyList<gridseg> **dst, MyList<Parallel::gridseg> *divide_gsl(MyList<Parallel::gridseg> *p, Patch *Pat);
MyList<var> *VarList1, MyList<var> *VarList2, MyList<Parallel::gridseg> *divide_gs(MyList<Parallel::gridseg> *p, Patch *Pat);
int Symmetry, SyncCache &cache); void prepare_inter_time_level(Patch *Pat,
MyList<var> *VarList1 /* source (t+dt) */, MyList<var> *VarList2 /* source (t) */,
struct AsyncSyncState { MyList<var> *VarList3 /* target (t+a*dt) */, int tindex);
int req_no; void prepare_inter_time_level(Patch *Pat,
bool active; MyList<var> *VarList1 /* source (t+dt) */, MyList<var> *VarList2 /* source (t) */,
AsyncSyncState() : req_no(0), active(false) {} MyList<var> *VarList3 /* source (t-dt) */, MyList<var> *VarList4 /* target (t+a*dt) */, int tindex);
}; void prepare_inter_time_level(MyList<Patch> *PatL,
MyList<var> *VarList1 /* source (t+dt) */, MyList<var> *VarList2 /* source (t) */,
void Sync_start(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry, MyList<var> *VarList3 /* target (t+a*dt) */, int tindex);
SyncCache &cache, AsyncSyncState &state); void prepare_inter_time_level(MyList<Patch> *Pat,
void Sync_finish(SyncCache &cache, AsyncSyncState &state, MyList<var> *VarList1 /* source (t+dt) */, MyList<var> *VarList2 /* source (t) */,
MyList<var> *VarList, int Symmetry); MyList<var> *VarList3 /* source (t-dt) */, MyList<var> *VarList4 /* target (t+a*dt) */, int tindex);
void OutBdLow2Hi(Patch *Patc, Patch *Patf, void merge_gsl(MyList<gridseg> *&A, const double ratio);
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */, bool merge_gs(MyList<gridseg> *D, MyList<gridseg> *B, MyList<gridseg> *&C, const double ratio);
int Symmetry); // Add ghost region to tangent plane
void OutBdLow2Hi(MyList<Patch> *PatcL, MyList<Patch> *PatfL, // we assume the grids have the same resolution
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */, void add_ghost_touch(MyList<gridseg> *&A);
int Symmetry); void cut_gsl(MyList<gridseg> *&A);
void OutBdLow2Himix(Patch *Patc, Patch *Patf, bool cut_gs(MyList<gridseg> *D, MyList<gridseg> *B, MyList<gridseg> *&C);
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */, MyList<Parallel::gridseg> *gs_subtract_virtual(MyList<Parallel::gridseg> *A, MyList<Parallel::gridseg> *B);
int Symmetry); void fill_level_data(MyList<Patch> *PatLd, MyList<Patch> *PatLs, MyList<Patch> *PatcL,
void OutBdLow2Himix(MyList<Patch> *PatcL, MyList<Patch> *PatfL, MyList<var> *OldList, MyList<var> *StateList, MyList<var> *FutureList,
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */, MyList<var> *tmList, int Symmetry, bool BB, bool CC);
int Symmetry); bool PatList_Interp_Points(MyList<Patch> *PatL, MyList<var> *VarList,
void Restrict_cached(MyList<Patch> *PatcL, MyList<Patch> *PatfL, int NN, double **XX,
MyList<var> *VarList1, MyList<var> *VarList2, double *Shellf, int Symmetry);
int Symmetry, SyncCache &cache); void aligncheck(double *bbox0, double *bboxl, int lev, double *DH0, int *shape);
void OutBdLow2Hi_cached(MyList<Patch> *PatcL, MyList<Patch> *PatfL, bool point_locat_gsl(double *pox, MyList<Parallel::gridseg> *gsl);
MyList<var> *VarList1, MyList<var> *VarList2, void checkpatchlist(MyList<Patch> *PatL, bool buflog);
int Symmetry, SyncCache &cache);
void OutBdLow2Himix_cached(MyList<Patch> *PatcL, MyList<Patch> *PatfL, double L2Norm(Patch *Pat, var *vf, MPI_Comm Comm_here);
MyList<var> *VarList1, MyList<var> *VarList2, bool PatList_Interp_Points(MyList<Patch> *PatL, MyList<var> *VarList,
int Symmetry, SyncCache &cache); int NN, double **XX,
void Prolong(Patch *Patc, Patch *Patf, double *Shellf, int Symmetry, MPI_Comm Comm_here);
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */, #if (PSTR == 1 || PSTR == 2 || PSTR == 3)
int Symmetry); MyList<Block> *distribute(MyList<Patch> *PatchLIST, int cpusize, int ingfsi, int fngfsi,
void Prolongint(Patch *Patc, Patch *Patf, bool periodic, int start_rank, int end_rank, int nodes = 0);
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */, #endif
int Symmetry); }
void Restrict(MyList<Patch> *PatcL, MyList<Patch> *PatfL, #endif /*PARALLEL_H */
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */,
int Symmetry);
void Restrict_after(MyList<Patch> *PatcL, MyList<Patch> *PatfL,
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */,
int Symmetry); // for -ghost - BDghost
MyList<Parallel::gridseg> *build_PhysBD_gsl(Patch *Pat);
MyList<Parallel::gridseg> *build_ghost_gsl(MyList<Patch> *PatL);
MyList<Parallel::gridseg> *build_ghost_gsl(Patch *Pat);
MyList<Parallel::gridseg> *build_buffer_gsl(Patch *Pat);
MyList<Parallel::gridseg> *build_buffer_gsl(MyList<Patch> *PatL);
MyList<Parallel::gridseg> *gsl_subtract(MyList<Parallel::gridseg> *A, MyList<Parallel::gridseg> *B);
MyList<Parallel::gridseg> *gs_subtract(MyList<Parallel::gridseg> *A, MyList<Parallel::gridseg> *B);
MyList<Parallel::gridseg> *gsl_and(MyList<Parallel::gridseg> *A, MyList<Parallel::gridseg> *B);
MyList<Parallel::gridseg> *gs_and(MyList<Parallel::gridseg> *A, MyList<Parallel::gridseg> *B);
MyList<Parallel::gridseg> *clone_gsl(MyList<Parallel::gridseg> *p, bool first_only);
MyList<Parallel::gridseg> *build_bulk_gsl(Patch *Pat); // similar to build_owned_gsl0 but does not care rank issue
MyList<Parallel::gridseg> *build_bulk_gsl(Block *bp, Patch *Pat);
void build_PhysBD_gstl(Patch *Pat, MyList<Parallel::gridseg> *srci, MyList<Parallel::gridseg> *dsti,
MyList<Parallel::gridseg> **out_src, MyList<Parallel::gridseg> **out_dst);
void PeriodicBD(Patch *Pat, MyList<var> *VarList, int Symmetry);
double L2Norm(Patch *Pat, var *vf);
void checkgsl(MyList<Parallel::gridseg> *pp, bool first_only);
void checkvarl(MyList<var> *pp, bool first_only);
MyList<Parallel::gridseg> *divide_gsl(MyList<Parallel::gridseg> *p, Patch *Pat);
MyList<Parallel::gridseg> *divide_gs(MyList<Parallel::gridseg> *p, Patch *Pat);
void prepare_inter_time_level(Patch *Pat,
MyList<var> *VarList1 /* source (t+dt) */, MyList<var> *VarList2 /* source (t) */,
MyList<var> *VarList3 /* target (t+a*dt) */, int tindex);
void prepare_inter_time_level(Patch *Pat,
MyList<var> *VarList1 /* source (t+dt) */, MyList<var> *VarList2 /* source (t) */,
MyList<var> *VarList3 /* source (t-dt) */, MyList<var> *VarList4 /* target (t+a*dt) */, int tindex);
void prepare_inter_time_level(MyList<Patch> *PatL,
MyList<var> *VarList1 /* source (t+dt) */, MyList<var> *VarList2 /* source (t) */,
MyList<var> *VarList3 /* target (t+a*dt) */, int tindex);
void prepare_inter_time_level(MyList<Patch> *Pat,
MyList<var> *VarList1 /* source (t+dt) */, MyList<var> *VarList2 /* source (t) */,
MyList<var> *VarList3 /* source (t-dt) */, MyList<var> *VarList4 /* target (t+a*dt) */, int tindex);
void merge_gsl(MyList<gridseg> *&A, const double ratio);
bool merge_gs(MyList<gridseg> *D, MyList<gridseg> *B, MyList<gridseg> *&C, const double ratio);
// Add ghost region to tangent plane
// we assume the grids have the same resolution
void add_ghost_touch(MyList<gridseg> *&A);
void cut_gsl(MyList<gridseg> *&A);
bool cut_gs(MyList<gridseg> *D, MyList<gridseg> *B, MyList<gridseg> *&C);
MyList<Parallel::gridseg> *gs_subtract_virtual(MyList<Parallel::gridseg> *A, MyList<Parallel::gridseg> *B);
void fill_level_data(MyList<Patch> *PatLd, MyList<Patch> *PatLs, MyList<Patch> *PatcL,
MyList<var> *OldList, MyList<var> *StateList, MyList<var> *FutureList,
MyList<var> *tmList, int Symmetry, bool BB, bool CC);
bool PatList_Interp_Points(MyList<Patch> *PatL, MyList<var> *VarList,
int NN, double **XX,
double *Shellf, int Symmetry);
void aligncheck(double *bbox0, double *bboxl, int lev, double *DH0, int *shape);
bool point_locat_gsl(double *pox, MyList<Parallel::gridseg> *gsl);
void checkpatchlist(MyList<Patch> *PatL, bool buflog);
double L2Norm(Patch *Pat, var *vf, MPI_Comm Comm_here);
bool PatList_Interp_Points(MyList<Patch> *PatL, MyList<var> *VarList,
int NN, double **XX,
double *Shellf, int Symmetry, MPI_Comm Comm_here);
#if (PSTR == 1 || PSTR == 2 || PSTR == 3)
MyList<Block> *distribute(MyList<Patch> *PatchLIST, int cpusize, int ingfsi, int fngfsi,
bool periodic, int start_rank, int end_rank, int nodes = 0);
// Redistribute blocks with time statistics for load balancing
MyList<Block> *distribute(MyList<Patch> *PatchLIST, MyList<Block> *OldBlockL,
int cpusize, int ingfsi, int fngfsi,
bool periodic, int start_rank, int end_rank, int nodes = 0);
#endif
// Dynamic load balancing: split blocks for heavy ranks
void split_heavy_blocks(MyList<Patch> *PatL, int *heavy_ranks, int num_heavy,
int split_factor, int cpusize, int ingfsi, int fngfsi);
// Check if load balancing is needed based on interpolation times
bool check_load_balance_need(double *rank_times, int nprocs, int &num_heavy, int *heavy_ranks);
}
#endif /*PARALLEL_H */

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@@ -1,8 +1,7 @@
#ifndef TWO_PUNCTURES_H #ifndef TWO_PUNCTURES_H
#define TWO_PUNCTURES_H #define TWO_PUNCTURES_H
#include <omp.h>
#define StencilSize 19 #define StencilSize 19
#define N_PlaneRelax 1 #define N_PlaneRelax 1
#define NRELAX 200 #define NRELAX 200
@@ -33,7 +32,7 @@ private:
int npoints_A, npoints_B, npoints_phi; int npoints_A, npoints_B, npoints_phi;
double target_M_plus, target_M_minus; double target_M_plus, target_M_minus;
double admMass; double admMass;
double adm_tol; double adm_tol;
@@ -43,18 +42,6 @@ private:
int ntotal; int ntotal;
// ===== Precomputed spectral derivative matrices =====
double *D1_A, *D2_A;
double *D1_B, *D2_B;
double *DF1_phi, *DF2_phi;
// ===== Pre-allocated workspace for LineRelax (per-thread) =====
int max_threads;
double **ws_diag_be, **ws_e_be, **ws_f_be, **ws_b_be, **ws_x_be;
double **ws_l_be, **ws_u_be, **ws_d_be, **ws_y_be;
double **ws_diag_al, **ws_e_al, **ws_f_al, **ws_b_al, **ws_x_al;
double **ws_l_al, **ws_u_al, **ws_d_al, **ws_y_al;
struct parameters struct parameters
{ {
int nvar, n1, n2, n3; int nvar, n1, n2, n3;
@@ -71,28 +58,6 @@ public:
int Newtonmaxit); int Newtonmaxit);
~TwoPunctures(); ~TwoPunctures();
// 02/07: New/modified methods
void allocate_workspace();
void free_workspace();
void precompute_derivative_matrices();
void build_cheb_deriv_matrices(int n, double *D1, double *D2);
void build_fourier_deriv_matrices(int N, double *DF1, double *DF2);
void Derivatives_AB3_MatMul(int nvar, int n1, int n2, int n3, derivs v);
void ThomasAlgorithm_ws(int N, double *b, double *a, double *c, double *x, double *q,
double *l, double *u_ws, double *d, double *y);
void LineRelax_be_omp(double *dv,
int const i, int const k, int const nvar,
int const n1, int const n2, int const n3,
double const *rhs, int const *ncols, int **cols,
double **JFD, int tid);
void LineRelax_al_omp(double *dv,
int const j, int const k, int const nvar,
int const n1, int const n2, int const n3,
double const *rhs, int const *ncols,
int **cols, double **JFD, int tid);
void relax_omp(double *dv, int const nvar, int const n1, int const n2, int const n3,
double const *rhs, int const *ncols, int **cols, double **JFD);
void Solve(); void Solve();
void set_initial_guess(derivs v); void set_initial_guess(derivs v);
int index(int i, int j, int k, int l, int a, int b, int c, int d); int index(int i, int j, int k, int l, int a, int b, int c, int d);
@@ -151,11 +116,23 @@ public:
double BY_KKofxyz(double x, double y, double z); double BY_KKofxyz(double x, double y, double z);
void SetMatrix_JFD(int nvar, int n1, int n2, int n3, derivs u, int *ncols, int **cols, double **Matrix); void SetMatrix_JFD(int nvar, int n1, int n2, int n3, derivs u, int *ncols, int **cols, double **Matrix);
void J_times_dv(int nvar, int n1, int n2, int n3, derivs dv, double *Jdv, derivs u); void J_times_dv(int nvar, int n1, int n2, int n3, derivs dv, double *Jdv, derivs u);
void relax(double *dv, int const nvar, int const n1, int const n2, int const n3,
double const *rhs, int const *ncols, int **cols, double **JFD);
void LineRelax_be(double *dv,
int const i, int const k, int const nvar,
int const n1, int const n2, int const n3,
double const *rhs, int const *ncols, int **cols,
double **JFD);
void JFD_times_dv(int i, int j, int k, int nvar, int n1, int n2, void JFD_times_dv(int i, int j, int k, int nvar, int n1, int n2,
int n3, derivs dv, derivs u, double *values); int n3, derivs dv, derivs u, double *values);
void LinEquations(double A, double B, double X, double R, void LinEquations(double A, double B, double X, double R,
double x, double r, double phi, double x, double r, double phi,
double y, double z, derivs dU, derivs U, double *values); double y, double z, derivs dU, derivs U, double *values);
void LineRelax_al(double *dv,
int const j, int const k, int const nvar,
int const n1, int const n2, int const n3,
double const *rhs, int const *ncols,
int **cols, double **JFD);
void ThomasAlgorithm(int N, double *b, double *a, double *c, double *x, double *q); void ThomasAlgorithm(int N, double *b, double *a, double *c, double *x, double *q);
void Save(char *fname); void Save(char *fname);
// provided by Vasileios Paschalidis (vpaschal@illinois.edu) // provided by Vasileios Paschalidis (vpaschal@illinois.edu)
@@ -164,4 +141,4 @@ public:
void SpecCoef(parameters par, int ivar, double *v, double *cf); void SpecCoef(parameters par, int ivar, double *v, double *cf);
}; };
#endif /* TWO_PUNCTURES_H */ #endif /* TWO_PUNCTURES_H */

View File

@@ -730,12 +730,6 @@ void bssn_class::Initialize()
PhysTime = StartTime; PhysTime = StartTime;
Setup_Black_Hole_position(); Setup_Black_Hole_position();
} }
// Initialize sync caches (per-level, for predictor and corrector)
sync_cache_pre = new Parallel::SyncCache[GH->levels];
sync_cache_cor = new Parallel::SyncCache[GH->levels];
sync_cache_rp_coarse = new Parallel::SyncCache[GH->levels];
sync_cache_rp_fine = new Parallel::SyncCache[GH->levels];
} }
//================================================================================================ //================================================================================================
@@ -987,32 +981,6 @@ bssn_class::~bssn_class()
delete Azzz; delete Azzz;
#endif #endif
// Destroy sync caches before GH
if (sync_cache_pre)
{
for (int i = 0; i < GH->levels; i++)
sync_cache_pre[i].destroy();
delete[] sync_cache_pre;
}
if (sync_cache_cor)
{
for (int i = 0; i < GH->levels; i++)
sync_cache_cor[i].destroy();
delete[] sync_cache_cor;
}
if (sync_cache_rp_coarse)
{
for (int i = 0; i < GH->levels; i++)
sync_cache_rp_coarse[i].destroy();
delete[] sync_cache_rp_coarse;
}
if (sync_cache_rp_fine)
{
for (int i = 0; i < GH->levels; i++)
sync_cache_rp_fine[i].destroy();
delete[] sync_cache_rp_fine;
}
delete GH; delete GH;
#ifdef WithShell #ifdef WithShell
delete SH; delete SH;
@@ -2213,7 +2181,6 @@ void bssn_class::Evolve(int Steps)
GH->Regrid(Symmetry, BH_num, Porgbr, Porg0, GH->Regrid(Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre, SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_mon, StartTime, dT_mon / 2), ErrorMonitor); fgt(PhysTime - dT_mon, StartTime, dT_mon / 2), ErrorMonitor);
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); }
#endif #endif
#if (REGLEV == 0 && (PSTR == 1 || PSTR == 2)) #if (REGLEV == 0 && (PSTR == 1 || PSTR == 2))
@@ -2429,7 +2396,6 @@ void bssn_class::RecursiveStep(int lev)
GH->Regrid_Onelevel(lev, Symmetry, BH_num, Porgbr, Porg0, GH->Regrid_Onelevel(lev, Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre, SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_lev, StartTime, dT_lev / 2), ErrorMonitor); fgt(PhysTime - dT_lev, StartTime, dT_lev / 2), ErrorMonitor);
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); }
#endif #endif
} }
@@ -2608,7 +2574,6 @@ void bssn_class::ParallelStep()
GH->Regrid_Onelevel(GH->mylev, Symmetry, BH_num, Porgbr, Porg0, GH->Regrid_Onelevel(GH->mylev, Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre, SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_lev, StartTime, dT_lev / 2), ErrorMonitor); fgt(PhysTime - dT_lev, StartTime, dT_lev / 2), ErrorMonitor);
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); }
#endif #endif
} }
@@ -2775,7 +2740,6 @@ void bssn_class::ParallelStep()
GH->Regrid_Onelevel(lev + 1, Symmetry, BH_num, Porgbr, Porg0, GH->Regrid_Onelevel(lev + 1, Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre, SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_levp1, StartTime, dT_levp1 / 2), ErrorMonitor); fgt(PhysTime - dT_levp1, StartTime, dT_levp1 / 2), ErrorMonitor);
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); }
// a_stream.clear(); // a_stream.clear();
// a_stream.str(""); // a_stream.str("");
@@ -2790,7 +2754,6 @@ void bssn_class::ParallelStep()
GH->Regrid_Onelevel(lev, Symmetry, BH_num, Porgbr, Porg0, GH->Regrid_Onelevel(lev, Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre, SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_lev, StartTime, dT_lev / 2), ErrorMonitor); fgt(PhysTime - dT_lev, StartTime, dT_lev / 2), ErrorMonitor);
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); }
// a_stream.clear(); // a_stream.clear();
// a_stream.str(""); // a_stream.str("");
@@ -2809,7 +2772,6 @@ void bssn_class::ParallelStep()
GH->Regrid_Onelevel(lev - 1, Symmetry, BH_num, Porgbr, Porg0, GH->Regrid_Onelevel(lev - 1, Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre, SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_lev, StartTime, dT_levm1 / 2), ErrorMonitor); fgt(PhysTime - dT_lev, StartTime, dT_levm1 / 2), ErrorMonitor);
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); }
// a_stream.clear(); // a_stream.clear();
// a_stream.str(""); // a_stream.str("");
@@ -2825,7 +2787,6 @@ void bssn_class::ParallelStep()
GH->Regrid_Onelevel(lev - 1, Symmetry, BH_num, Porgbr, Porg0, GH->Regrid_Onelevel(lev - 1, Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre, SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_lev, StartTime, dT_levm1 / 2), ErrorMonitor); fgt(PhysTime - dT_lev, StartTime, dT_levm1 / 2), ErrorMonitor);
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); }
// a_stream.clear(); // a_stream.clear();
// a_stream.str(""); // a_stream.str("");
@@ -3197,7 +3158,21 @@ void bssn_class::Step(int lev, int YN)
} }
Pp = Pp->next; Pp = Pp->next;
} }
// NOTE: error check deferred to after Shell Patch computation to reduce MPI_Allreduce calls // check error information
{
int erh = ERROR;
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
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);
}
}
#ifdef WithShell #ifdef WithShell
// evolve Shell Patches // evolve Shell Patches
@@ -3215,9 +3190,9 @@ void bssn_class::Step(int lev, int YN)
{ {
#if (AGM == 0) #if (AGM == 0)
f_enforce_ga(cg->shape, f_enforce_ga(cg->shape,
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->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[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn],
cg->fgfs[Axx0->sgfn], cg->fgfs[Axy0->sgfn], cg->fgfs[Axz0->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[Ayy0->sgfn], cg->fgfs[Ayz0->sgfn], cg->fgfs[Azz0->sgfn]);
#endif #endif
@@ -3341,16 +3316,25 @@ void bssn_class::Step(int lev, int YN)
#endif #endif
} }
// Non-blocking error reduction overlapped with Sync to hide Allreduce latency // check error information
MPI_Request err_req;
{ {
int erh = ERROR; int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD, &err_req); MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
SH->Dump_Data(StateList, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in state variables on Shell Patches at t = " << PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
} }
#endif #endif
Parallel::AsyncSyncState async_pre; Parallel::Sync(GH->PatL[lev], SynchList_pre, Symmetry);
Parallel::Sync_start(GH->PatL[lev], SynchList_pre, Symmetry, sync_cache_pre[lev], async_pre);
#ifdef WithShell #ifdef WithShell
if (lev == 0) if (lev == 0)
@@ -3363,29 +3347,12 @@ void bssn_class::Step(int lev, int YN)
{ {
prev_clock = curr_clock; prev_clock = curr_clock;
curr_clock = clock(); curr_clock = clock();
cout << " Shell stuff synchronization used " cout << " Shell stuff synchronization used "
<< (double)(curr_clock - prev_clock) / ((double)CLOCKS_PER_SEC) << (double)(curr_clock - prev_clock) / ((double)CLOCKS_PER_SEC)
<< " seconds! " << endl; << " seconds! " << endl;
} }
} }
#endif #endif
Parallel::Sync_finish(sync_cache_pre[lev], async_pre, SynchList_pre, Symmetry);
#ifdef WithShell
// Complete non-blocking error reduction and check
MPI_Wait(&err_req, MPI_STATUS_IGNORE);
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], StateList, 0, PhysTime, dT_lev);
SH->Dump_Data(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);
}
}
#endif
#if (MAPBH == 0) #if (MAPBH == 0)
// for black hole position // for black hole position
@@ -3561,7 +3528,24 @@ void bssn_class::Step(int lev, int YN)
Pp = Pp->next; Pp = Pp->next;
} }
// NOTE: error check deferred to after Shell Patch computation to reduce MPI_Allreduce calls // check error information
{
int erh = ERROR;
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
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);
}
}
#ifdef WithShell #ifdef WithShell
// evolve Shell Patches // evolve Shell Patches
@@ -3579,9 +3563,9 @@ void bssn_class::Step(int lev, int YN)
{ {
#if (AGM == 0) #if (AGM == 0)
f_enforce_ga(cg->shape, f_enforce_ga(cg->shape,
cg->fgfs[gxx->sgfn], cg->fgfs[gxy->sgfn], cg->fgfs[gxz->sgfn], cg->fgfs[gxx->sgfn], cg->fgfs[gxy->sgfn], cg->fgfs[gxz->sgfn],
cg->fgfs[gyy->sgfn], cg->fgfs[gyz->sgfn], cg->fgfs[gzz->sgfn], cg->fgfs[gyy->sgfn], cg->fgfs[gyz->sgfn], cg->fgfs[gzz->sgfn],
cg->fgfs[Axx->sgfn], cg->fgfs[Axy->sgfn], cg->fgfs[Axz->sgfn], cg->fgfs[Axx->sgfn], cg->fgfs[Axy->sgfn], cg->fgfs[Axz->sgfn],
cg->fgfs[Ayy->sgfn], cg->fgfs[Ayz->sgfn], cg->fgfs[Azz->sgfn]); cg->fgfs[Ayy->sgfn], cg->fgfs[Ayz->sgfn], cg->fgfs[Azz->sgfn]);
#elif (AGM == 1) #elif (AGM == 1)
if (iter_count == 3) if (iter_count == 3)
@@ -3701,16 +3685,26 @@ void bssn_class::Step(int lev, int YN)
sPp = sPp->next; sPp = sPp->next;
} }
} }
// Non-blocking error reduction overlapped with Sync to hide Allreduce latency // check error information
MPI_Request err_req_cor;
{ {
int erh = ERROR; int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD, &err_req_cor); MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
SH->Dump_Data(SynchList_pre, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN on Shell Patches in RK4 substep#"
<< iter_count << " variables at t = "
<< PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
} }
#endif #endif
Parallel::AsyncSyncState async_cor; Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
Parallel::Sync_start(GH->PatL[lev], SynchList_cor, Symmetry, sync_cache_cor[lev], async_cor);
#ifdef WithShell #ifdef WithShell
if (lev == 0) if (lev == 0)
@@ -3723,31 +3717,12 @@ void bssn_class::Step(int lev, int YN)
{ {
prev_clock = curr_clock; prev_clock = curr_clock;
curr_clock = clock(); curr_clock = clock();
cout << " Shell stuff synchronization used " cout << " Shell stuff synchronization used "
<< (double)(curr_clock - prev_clock) / ((double)CLOCKS_PER_SEC) << (double)(curr_clock - prev_clock) / ((double)CLOCKS_PER_SEC)
<< " seconds! " << endl; << " seconds! " << endl;
} }
} }
#endif #endif
Parallel::Sync_finish(sync_cache_cor[lev], async_cor, SynchList_cor, Symmetry);
#ifdef WithShell
// Complete non-blocking error reduction and check
MPI_Wait(&err_req_cor, MPI_STATUS_IGNORE);
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], SynchList_pre, 0, PhysTime, dT_lev);
SH->Dump_Data(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);
}
}
#endif
#if (MAPBH == 0) #if (MAPBH == 0)
// for black hole position // for black hole position
@@ -4059,7 +4034,22 @@ void bssn_class::Step(int lev, int YN)
} }
Pp = Pp->next; Pp = Pp->next;
} }
// NOTE: error check deferred to after Shell Patch computation to reduce MPI_Allreduce calls // check error information
{
int erh = ERROR;
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
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);
}
}
#ifdef WithShell #ifdef WithShell
// evolve Shell Patches // evolve Shell Patches
@@ -4077,15 +4067,15 @@ void bssn_class::Step(int lev, int YN)
{ {
#if (AGM == 0) #if (AGM == 0)
f_enforce_ga(cg->shape, f_enforce_ga(cg->shape,
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->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[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn],
cg->fgfs[Axx0->sgfn], cg->fgfs[Axy0->sgfn], cg->fgfs[Axz0->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[Ayy0->sgfn], cg->fgfs[Ayz0->sgfn], cg->fgfs[Azz0->sgfn]);
#endif #endif
if (f_compute_rhs_bssn_ss(cg->shape, TRK4, cg->X[0], cg->X[1], cg->X[2], if (f_compute_rhs_bssn_ss(cg->shape, TRK4, cg->X[0], cg->X[1], cg->X[2],
cg->fgfs[fngfs + ShellPatch::gx], cg->fgfs[fngfs + ShellPatch::gx],
cg->fgfs[fngfs + ShellPatch::gy], cg->fgfs[fngfs + ShellPatch::gy],
cg->fgfs[fngfs + ShellPatch::gz], cg->fgfs[fngfs + ShellPatch::gz],
cg->fgfs[fngfs + ShellPatch::drhodx], cg->fgfs[fngfs + ShellPatch::drhodx],
cg->fgfs[fngfs + ShellPatch::drhody], cg->fgfs[fngfs + ShellPatch::drhody],
@@ -4200,16 +4190,25 @@ void bssn_class::Step(int lev, int YN)
} }
#endif #endif
} }
// Non-blocking error reduction overlapped with Sync to hide Allreduce latency // check error information
MPI_Request err_req;
{ {
int erh = ERROR; int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD, &err_req); MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
SH->Dump_Data(StateList, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in state variables on Shell Patches at t = "
<< PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
} }
#endif #endif
Parallel::AsyncSyncState async_pre; Parallel::Sync(GH->PatL[lev], SynchList_pre, Symmetry);
Parallel::Sync_start(GH->PatL[lev], SynchList_pre, Symmetry, sync_cache_pre[lev], async_pre);
#ifdef WithShell #ifdef WithShell
if (lev == 0) if (lev == 0)
@@ -4222,27 +4221,9 @@ void bssn_class::Step(int lev, int YN)
{ {
prev_clock = curr_clock; prev_clock = curr_clock;
curr_clock = clock(); curr_clock = clock();
cout << " Shell stuff synchronization used " cout << " Shell stuff synchronization used "
<< (double)(curr_clock - prev_clock) / ((double)CLOCKS_PER_SEC) << (double)(curr_clock - prev_clock) / ((double)CLOCKS_PER_SEC)
<< " seconds! " << endl; << " seconds! " << endl;
}
}
#endif
Parallel::Sync_finish(sync_cache_pre[lev], async_pre, SynchList_pre, Symmetry);
#ifdef WithShell
// Complete non-blocking error reduction and check
MPI_Wait(&err_req, MPI_STATUS_IGNORE);
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], StateList, 0, PhysTime, dT_lev);
SH->Dump_Data(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);
} }
} }
#endif #endif
@@ -4405,7 +4386,23 @@ void bssn_class::Step(int lev, int YN)
Pp = Pp->next; Pp = Pp->next;
} }
// NOTE: error check deferred to after Shell Patch computation to reduce MPI_Allreduce calls // check error information
{
int erh = ERROR;
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
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);
}
}
#ifdef WithShell #ifdef WithShell
// evolve Shell Patches // evolve Shell Patches
@@ -4423,9 +4420,9 @@ void bssn_class::Step(int lev, int YN)
{ {
#if (AGM == 0) #if (AGM == 0)
f_enforce_ga(cg->shape, f_enforce_ga(cg->shape,
cg->fgfs[gxx->sgfn], cg->fgfs[gxy->sgfn], cg->fgfs[gxz->sgfn], cg->fgfs[gxx->sgfn], cg->fgfs[gxy->sgfn], cg->fgfs[gxz->sgfn],
cg->fgfs[gyy->sgfn], cg->fgfs[gyz->sgfn], cg->fgfs[gzz->sgfn], cg->fgfs[gyy->sgfn], cg->fgfs[gyz->sgfn], cg->fgfs[gzz->sgfn],
cg->fgfs[Axx->sgfn], cg->fgfs[Axy->sgfn], cg->fgfs[Axz->sgfn], cg->fgfs[Axx->sgfn], cg->fgfs[Axy->sgfn], cg->fgfs[Axz->sgfn],
cg->fgfs[Ayy->sgfn], cg->fgfs[Ayz->sgfn], cg->fgfs[Azz->sgfn]); cg->fgfs[Ayy->sgfn], cg->fgfs[Ayz->sgfn], cg->fgfs[Azz->sgfn]);
#elif (AGM == 1) #elif (AGM == 1)
if (iter_count == 3) if (iter_count == 3)
@@ -4545,16 +4542,25 @@ void bssn_class::Step(int lev, int YN)
sPp = sPp->next; sPp = sPp->next;
} }
} }
// Non-blocking error reduction overlapped with Sync to hide Allreduce latency // check error information
MPI_Request err_req_cor;
{ {
int erh = ERROR; int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD, &err_req_cor); MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
SH->Dump_Data(SynchList_pre, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN on Shell Patches in RK4 substep#" << iter_count
<< " variables at t = " << PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
} }
#endif #endif
Parallel::AsyncSyncState async_cor; Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
Parallel::Sync_start(GH->PatL[lev], SynchList_cor, Symmetry, sync_cache_cor[lev], async_cor);
#ifdef WithShell #ifdef WithShell
if (lev == 0) if (lev == 0)
@@ -4567,30 +4573,11 @@ void bssn_class::Step(int lev, int YN)
{ {
prev_clock = curr_clock; prev_clock = curr_clock;
curr_clock = clock(); curr_clock = clock();
cout << " Shell stuff synchronization used " cout << " Shell stuff synchronization used "
<< (double)(curr_clock - prev_clock) / ((double)CLOCKS_PER_SEC) << (double)(curr_clock - prev_clock) / ((double)CLOCKS_PER_SEC)
<< " seconds! " << endl; << " seconds! " << endl;
} }
} }
#endif
Parallel::Sync_finish(sync_cache_cor[lev], async_cor, SynchList_cor, Symmetry);
#ifdef WithShell
// Complete non-blocking error reduction and check
MPI_Wait(&err_req_cor, MPI_STATUS_IGNORE);
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], SynchList_pre, 0, PhysTime, dT_lev);
SH->Dump_Data(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);
}
}
#endif #endif
// for black hole position // for black hole position
if (BH_num > 0 && lev == GH->levels - 1) if (BH_num > 0 && lev == GH->levels - 1)
@@ -4956,19 +4943,11 @@ void bssn_class::Step(int lev, int YN)
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"after Predictor rhs calculation"); // misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"after Predictor rhs calculation");
// Non-blocking error reduction overlapped with Sync to hide Allreduce latency // check error information
MPI_Request err_req;
{ {
int erh = ERROR; int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, GH->Commlev[lev], &err_req); MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, GH->Commlev[lev]);
} }
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"before Predictor sync");
Parallel::Sync_cached(GH->PatL[lev], SynchList_pre, Symmetry, sync_cache_pre[lev]);
// Complete non-blocking error reduction and check
MPI_Wait(&err_req, MPI_STATUS_IGNORE);
if (ERROR) if (ERROR)
{ {
Parallel::Dump_Data(GH->PatL[lev], StateList, 0, PhysTime, dT_lev); Parallel::Dump_Data(GH->PatL[lev], StateList, 0, PhysTime, dT_lev);
@@ -4980,6 +4959,10 @@ void bssn_class::Step(int lev, int YN)
} }
} }
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"before Predictor sync");
Parallel::Sync(GH->PatL[lev], SynchList_pre, Symmetry);
#if (MAPBH == 0) #if (MAPBH == 0)
// for black hole position // for black hole position
if (BH_num > 0 && lev == GH->levels - 1) if (BH_num > 0 && lev == GH->levels - 1)
@@ -5157,34 +5140,30 @@ void bssn_class::Step(int lev, int YN)
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"before Corrector error check"); // misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"before Corrector error check");
// Non-blocking error reduction overlapped with Sync to hide Allreduce latency // check error information
MPI_Request err_req_cor;
{ {
int erh = ERROR; int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, GH->Commlev[lev], &err_req_cor); MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, GH->Commlev[lev]);
} }
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"before Corrector sync");
Parallel::Sync_cached(GH->PatL[lev], SynchList_cor, Symmetry, sync_cache_cor[lev]);
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"after Corrector sync");
// Complete non-blocking error reduction and check
MPI_Wait(&err_req_cor, MPI_STATUS_IGNORE);
if (ERROR) if (ERROR)
{ {
Parallel::Dump_Data(GH->PatL[lev], SynchList_pre, 0, PhysTime, dT_lev); Parallel::Dump_Data(GH->PatL[lev], SynchList_pre, 0, PhysTime, dT_lev);
if (myrank == 0) if (myrank == 0)
{ {
if (ErrorMonitor->outfile) if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in RK4 substep#" << iter_count ErrorMonitor->outfile << "find NaN in RK4 substep#" << iter_count
<< " variables at t = " << PhysTime << " variables at t = " << PhysTime
<< ", lev = " << lev << endl; << ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1); MPI_Abort(MPI_COMM_WORLD, 1);
} }
} }
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"before Corrector sync");
Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"after Corrector sync");
#if (MAPBH == 0) #if (MAPBH == 0)
// for black hole position // for black hole position
if (BH_num > 0 && lev == GH->levels - 1) if (BH_num > 0 && lev == GH->levels - 1)
@@ -5468,11 +5447,21 @@ void bssn_class::SHStep()
#if (PSTR == 1 || PSTR == 2) #if (PSTR == 1 || PSTR == 2)
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"before Predictor's error check"); // misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"before Predictor's error check");
#endif #endif
// Non-blocking error reduction overlapped with Synch to hide Allreduce latency // check error information
MPI_Request err_req;
{ {
int erh = ERROR; int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD, &err_req); MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
SH->Dump_Data(StateList, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in state variables on Shell Patches at t = " << PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
} }
{ {
@@ -5484,25 +5473,12 @@ void bssn_class::SHStep()
{ {
prev_clock = curr_clock; prev_clock = curr_clock;
curr_clock = clock(); curr_clock = clock();
cout << " Shell stuff synchronization used " cout << " Shell stuff synchronization used "
<< (double)(curr_clock - prev_clock) / ((double)CLOCKS_PER_SEC) << (double)(curr_clock - prev_clock) / ((double)CLOCKS_PER_SEC)
<< " seconds! " << endl; << " seconds! " << endl;
} }
} }
// Complete non-blocking error reduction and check
MPI_Wait(&err_req, MPI_STATUS_IGNORE);
if (ERROR)
{
SH->Dump_Data(StateList, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in state variables on Shell Patches at t = " << PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
// corrector // corrector
for (iter_count = 1; iter_count < 4; iter_count++) for (iter_count = 1; iter_count < 4; iter_count++)
{ {
@@ -5645,11 +5621,21 @@ void bssn_class::SHStep()
sPp = sPp->next; sPp = sPp->next;
} }
} }
// Non-blocking error reduction overlapped with Synch to hide Allreduce latency // check error information
MPI_Request err_req_cor;
{ {
int erh = ERROR; int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD, &err_req_cor); MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
SH->Dump_Data(SynchList_pre, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN on Shell Patches in RK4 substep#" << iter_count
<< " variables at t = " << PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
} }
{ {
@@ -5661,26 +5647,12 @@ void bssn_class::SHStep()
{ {
prev_clock = curr_clock; prev_clock = curr_clock;
curr_clock = clock(); curr_clock = clock();
cout << " Shell stuff synchronization used " cout << " Shell stuff synchronization used "
<< (double)(curr_clock - prev_clock) / ((double)CLOCKS_PER_SEC) << (double)(curr_clock - prev_clock) / ((double)CLOCKS_PER_SEC)
<< " seconds! " << endl; << " seconds! " << endl;
} }
} }
// Complete non-blocking error reduction and check
MPI_Wait(&err_req_cor, MPI_STATUS_IGNORE);
if (ERROR)
{
SH->Dump_Data(SynchList_pre, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN on Shell Patches in RK4 substep#" << iter_count
<< " variables at t = " << PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
sPp = SH->PatL; sPp = SH->PatL;
while (sPp) while (sPp)
{ {
@@ -5809,7 +5781,7 @@ void bssn_class::RestrictProlong(int lev, int YN, bool BB,
// misc::tillherecheck(GH->Commlev[GH->mylev],GH->start_rank[GH->mylev],a_stream.str()); // misc::tillherecheck(GH->Commlev[GH->mylev],GH->start_rank[GH->mylev],a_stream.str());
#endif #endif
Parallel::Sync_cached(GH->PatL[lev - 1], SynchList_pre, Symmetry, sync_cache_rp_coarse[lev]); Parallel::Sync(GH->PatL[lev - 1], SynchList_pre, Symmetry);
#if (PSTR == 1 || PSTR == 2) #if (PSTR == 1 || PSTR == 2)
// a_stream.clear(); // a_stream.clear();
@@ -5819,11 +5791,21 @@ void bssn_class::RestrictProlong(int lev, int YN, bool BB,
#endif #endif
#if (RPB == 0) #if (RPB == 0)
Ppc = GH->PatL[lev - 1];
while (Ppc)
{
Pp = GH->PatL[lev];
while (Pp)
{
#if (MIXOUTB == 0) #if (MIXOUTB == 0)
Parallel::OutBdLow2Hi(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SL, Symmetry); Parallel::OutBdLow2Hi(Ppc->data, Pp->data, SynchList_pre, SL, Symmetry);
#elif (MIXOUTB == 1) #elif (MIXOUTB == 1)
Parallel::OutBdLow2Himix(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SL, Symmetry); Parallel::OutBdLow2Himix(Ppc->data, Pp->data, SynchList_pre, SL, Symmetry);
#endif #endif
Pp = Pp->next;
}
Ppc = Ppc->next;
}
#elif (RPB == 1) #elif (RPB == 1)
// Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],SynchList_pre,SL,Symmetry); // Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],SynchList_pre,SL,Symmetry);
Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SL, GH->bdsul[lev], Symmetry); Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SL, GH->bdsul[lev], Symmetry);
@@ -5860,7 +5842,7 @@ void bssn_class::RestrictProlong(int lev, int YN, bool BB,
// misc::tillherecheck(GH->Commlev[GH->mylev],GH->start_rank[GH->mylev],a_stream.str()); // misc::tillherecheck(GH->Commlev[GH->mylev],GH->start_rank[GH->mylev],a_stream.str());
#endif #endif
Parallel::Sync_cached(GH->PatL[lev - 1], SL, Symmetry, sync_cache_rp_coarse[lev]); Parallel::Sync(GH->PatL[lev - 1], SL, Symmetry);
#if (PSTR == 1 || PSTR == 2) #if (PSTR == 1 || PSTR == 2)
// a_stream.clear(); // a_stream.clear();
@@ -5870,11 +5852,21 @@ void bssn_class::RestrictProlong(int lev, int YN, bool BB,
#endif #endif
#if (RPB == 0) #if (RPB == 0)
Ppc = GH->PatL[lev - 1];
while (Ppc)
{
Pp = GH->PatL[lev];
while (Pp)
{
#if (MIXOUTB == 0) #if (MIXOUTB == 0)
Parallel::OutBdLow2Hi(GH->PatL[lev - 1], GH->PatL[lev], SL, SL, Symmetry); Parallel::OutBdLow2Hi(Ppc->data, Pp->data, SL, SL, Symmetry);
#elif (MIXOUTB == 1) #elif (MIXOUTB == 1)
Parallel::OutBdLow2Himix(GH->PatL[lev - 1], GH->PatL[lev], SL, SL, Symmetry); Parallel::OutBdLow2Himix(Ppc->data, Pp->data, SL, SL, Symmetry);
#endif #endif
Pp = Pp->next;
}
Ppc = Ppc->next;
}
#elif (RPB == 1) #elif (RPB == 1)
// Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],SL,SL,Symmetry); // Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],SL,SL,Symmetry);
Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], SL, SL, GH->bdsul[lev], Symmetry); Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], SL, SL, GH->bdsul[lev], Symmetry);
@@ -5888,7 +5880,7 @@ void bssn_class::RestrictProlong(int lev, int YN, bool BB,
#endif #endif
} }
Parallel::Sync_cached(GH->PatL[lev], SL, Symmetry, sync_cache_rp_fine[lev]); Parallel::Sync(GH->PatL[lev], SL, Symmetry);
#if (PSTR == 1 || PSTR == 2) #if (PSTR == 1 || PSTR == 2)
// a_stream.clear(); // a_stream.clear();
@@ -5946,14 +5938,24 @@ void bssn_class::RestrictProlong_aux(int lev, int YN, bool BB,
Parallel::Restrict_bam(GH->PatL[lev - 1], GH->PatL[lev], SL, SynchList_pre, GH->rsul[lev], Symmetry); Parallel::Restrict_bam(GH->PatL[lev - 1], GH->PatL[lev], SL, SynchList_pre, GH->rsul[lev], Symmetry);
#endif #endif
Parallel::Sync_cached(GH->PatL[lev - 1], SynchList_pre, Symmetry, sync_cache_rp_coarse[lev]); Parallel::Sync(GH->PatL[lev - 1], SynchList_pre, Symmetry);
#if (RPB == 0) #if (RPB == 0)
Ppc = GH->PatL[lev - 1];
while (Ppc)
{
Pp = GH->PatL[lev];
while (Pp)
{
#if (MIXOUTB == 0) #if (MIXOUTB == 0)
Parallel::OutBdLow2Hi(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SL, Symmetry); Parallel::OutBdLow2Hi(Ppc->data, Pp->data, SynchList_pre, SL, Symmetry);
#elif (MIXOUTB == 1) #elif (MIXOUTB == 1)
Parallel::OutBdLow2Himix(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SL, Symmetry); Parallel::OutBdLow2Himix(Ppc->data, Pp->data, SynchList_pre, SL, Symmetry);
#endif #endif
Pp = Pp->next;
}
Ppc = Ppc->next;
}
#elif (RPB == 1) #elif (RPB == 1)
// Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],SynchList_pre,SL,Symmetry); // Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],SynchList_pre,SL,Symmetry);
Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SL, GH->bdsul[lev], Symmetry); Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SL, GH->bdsul[lev], Symmetry);
@@ -5968,21 +5970,31 @@ void bssn_class::RestrictProlong_aux(int lev, int YN, bool BB,
Parallel::Restrict_bam(GH->PatL[lev - 1], GH->PatL[lev], SL, SL, GH->rsul[lev], Symmetry); Parallel::Restrict_bam(GH->PatL[lev - 1], GH->PatL[lev], SL, SL, GH->rsul[lev], Symmetry);
#endif #endif
Parallel::Sync_cached(GH->PatL[lev - 1], SL, Symmetry, sync_cache_rp_coarse[lev]); Parallel::Sync(GH->PatL[lev - 1], SL, Symmetry);
#if (RPB == 0) #if (RPB == 0)
Ppc = GH->PatL[lev - 1];
while (Ppc)
{
Pp = GH->PatL[lev];
while (Pp)
{
#if (MIXOUTB == 0) #if (MIXOUTB == 0)
Parallel::OutBdLow2Hi(GH->PatL[lev - 1], GH->PatL[lev], SL, SL, Symmetry); Parallel::OutBdLow2Hi(Ppc->data, Pp->data, SL, SL, Symmetry);
#elif (MIXOUTB == 1) #elif (MIXOUTB == 1)
Parallel::OutBdLow2Himix(GH->PatL[lev - 1], GH->PatL[lev], SL, SL, Symmetry); Parallel::OutBdLow2Himix(Ppc->data, Pp->data, SL, SL, Symmetry);
#endif #endif
Pp = Pp->next;
}
Ppc = Ppc->next;
}
#elif (RPB == 1) #elif (RPB == 1)
// Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],SL,SL,Symmetry); // Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],SL,SL,Symmetry);
Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], SL, SL, GH->bdsul[lev], Symmetry); Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], SL, SL, GH->bdsul[lev], Symmetry);
#endif #endif
} }
Parallel::Sync_cached(GH->PatL[lev], SL, Symmetry, sync_cache_rp_fine[lev]); Parallel::Sync(GH->PatL[lev], SL, Symmetry);
} }
} }
@@ -6033,14 +6045,24 @@ void bssn_class::RestrictProlong(int lev, int YN, bool BB)
Parallel::Restrict_bam(GH->PatL[lev - 1], GH->PatL[lev], SynchList_cor, SynchList_pre, GH->rsul[lev], Symmetry); Parallel::Restrict_bam(GH->PatL[lev - 1], GH->PatL[lev], SynchList_cor, SynchList_pre, GH->rsul[lev], Symmetry);
#endif #endif
Parallel::Sync_cached(GH->PatL[lev - 1], SynchList_pre, Symmetry, sync_cache_rp_coarse[lev]); Parallel::Sync(GH->PatL[lev - 1], SynchList_pre, Symmetry);
#if (RPB == 0) #if (RPB == 0)
Ppc = GH->PatL[lev - 1];
while (Ppc)
{
Pp = GH->PatL[lev];
while (Pp)
{
#if (MIXOUTB == 0) #if (MIXOUTB == 0)
Parallel::OutBdLow2Hi(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SynchList_cor, Symmetry); Parallel::OutBdLow2Hi(Ppc->data, Pp->data, SynchList_pre, SynchList_cor, Symmetry);
#elif (MIXOUTB == 1) #elif (MIXOUTB == 1)
Parallel::OutBdLow2Himix(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SynchList_cor, Symmetry); Parallel::OutBdLow2Himix(Ppc->data, Pp->data, SynchList_pre, SynchList_cor, Symmetry);
#endif #endif
Pp = Pp->next;
}
Ppc = Ppc->next;
}
#elif (RPB == 1) #elif (RPB == 1)
// Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],SynchList_pre,SynchList_cor,Symmetry); // Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],SynchList_pre,SynchList_cor,Symmetry);
Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SynchList_cor, GH->bdsul[lev], Symmetry); Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SynchList_cor, GH->bdsul[lev], Symmetry);
@@ -6057,21 +6079,31 @@ void bssn_class::RestrictProlong(int lev, int YN, bool BB)
Parallel::Restrict_bam(GH->PatL[lev - 1], GH->PatL[lev], SynchList_cor, StateList, GH->rsul[lev], Symmetry); Parallel::Restrict_bam(GH->PatL[lev - 1], GH->PatL[lev], SynchList_cor, StateList, GH->rsul[lev], Symmetry);
#endif #endif
Parallel::Sync_cached(GH->PatL[lev - 1], StateList, Symmetry, sync_cache_rp_coarse[lev]); Parallel::Sync(GH->PatL[lev - 1], StateList, Symmetry);
#if (RPB == 0) #if (RPB == 0)
Ppc = GH->PatL[lev - 1];
while (Ppc)
{
Pp = GH->PatL[lev];
while (Pp)
{
#if (MIXOUTB == 0) #if (MIXOUTB == 0)
Parallel::OutBdLow2Hi(GH->PatL[lev - 1], GH->PatL[lev], StateList, SynchList_cor, Symmetry); Parallel::OutBdLow2Hi(Ppc->data, Pp->data, StateList, SynchList_cor, Symmetry);
#elif (MIXOUTB == 1) #elif (MIXOUTB == 1)
Parallel::OutBdLow2Himix(GH->PatL[lev - 1], GH->PatL[lev], StateList, SynchList_cor, Symmetry); Parallel::OutBdLow2Himix(Ppc->data, Pp->data, StateList, SynchList_cor, Symmetry);
#endif #endif
Pp = Pp->next;
}
Ppc = Ppc->next;
}
#elif (RPB == 1) #elif (RPB == 1)
// Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],StateList,SynchList_cor,Symmetry); // Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],StateList,SynchList_cor,Symmetry);
Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], StateList, SynchList_cor, GH->bdsul[lev], Symmetry); Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], StateList, SynchList_cor, GH->bdsul[lev], Symmetry);
#endif #endif
} }
Parallel::Sync_cached(GH->PatL[lev], SynchList_cor, Symmetry, sync_cache_rp_fine[lev]); Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
} }
} }
@@ -6101,11 +6133,21 @@ void bssn_class::ProlongRestrict(int lev, int YN, bool BB)
} }
#if (RPB == 0) #if (RPB == 0)
Ppc = GH->PatL[lev - 1];
while (Ppc)
{
Pp = GH->PatL[lev];
while (Pp)
{
#if (MIXOUTB == 0) #if (MIXOUTB == 0)
Parallel::OutBdLow2Hi(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SynchList_cor, Symmetry); Parallel::OutBdLow2Hi(Ppc->data, Pp->data, SynchList_pre, SynchList_cor, Symmetry);
#elif (MIXOUTB == 1) #elif (MIXOUTB == 1)
Parallel::OutBdLow2Himix(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SynchList_cor, Symmetry); Parallel::OutBdLow2Himix(Ppc->data, Pp->data, SynchList_pre, SynchList_cor, Symmetry);
#endif #endif
Pp = Pp->next;
}
Ppc = Ppc->next;
}
#elif (RPB == 1) #elif (RPB == 1)
// Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],SynchList_pre,SynchList_cor,Symmetry); // Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],SynchList_pre,SynchList_cor,Symmetry);
Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SynchList_cor, GH->bdsul[lev], Symmetry); Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SynchList_cor, GH->bdsul[lev], Symmetry);
@@ -6114,11 +6156,21 @@ void bssn_class::ProlongRestrict(int lev, int YN, bool BB)
else // no time refinement levels and for all same time levels else // no time refinement levels and for all same time levels
{ {
#if (RPB == 0) #if (RPB == 0)
Ppc = GH->PatL[lev - 1];
while (Ppc)
{
Pp = GH->PatL[lev];
while (Pp)
{
#if (MIXOUTB == 0) #if (MIXOUTB == 0)
Parallel::OutBdLow2Hi(GH->PatL[lev - 1], GH->PatL[lev], StateList, SynchList_cor, Symmetry); Parallel::OutBdLow2Hi(Ppc->data, Pp->data, StateList, SynchList_cor, Symmetry);
#elif (MIXOUTB == 1) #elif (MIXOUTB == 1)
Parallel::OutBdLow2Himix(GH->PatL[lev - 1], GH->PatL[lev], StateList, SynchList_cor, Symmetry); Parallel::OutBdLow2Himix(Ppc->data, Pp->data, StateList, SynchList_cor, Symmetry);
#endif #endif
Pp = Pp->next;
}
Ppc = Ppc->next;
}
#elif (RPB == 1) #elif (RPB == 1)
// Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],StateList,SynchList_cor,Symmetry); // Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],StateList,SynchList_cor,Symmetry);
Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], StateList, SynchList_cor, GH->bdsul[lev], Symmetry); Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], StateList, SynchList_cor, GH->bdsul[lev], Symmetry);
@@ -6134,10 +6186,10 @@ void bssn_class::ProlongRestrict(int lev, int YN, bool BB)
#else #else
Parallel::Restrict_after(GH->PatL[lev - 1], GH->PatL[lev], SynchList_cor, StateList, Symmetry); Parallel::Restrict_after(GH->PatL[lev - 1], GH->PatL[lev], SynchList_cor, StateList, Symmetry);
#endif #endif
Parallel::Sync_cached(GH->PatL[lev - 1], StateList, Symmetry, sync_cache_rp_coarse[lev]); Parallel::Sync(GH->PatL[lev - 1], StateList, Symmetry);
} }
Parallel::Sync_cached(GH->PatL[lev], SynchList_cor, Symmetry, sync_cache_rp_fine[lev]); Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
} }
} }
#undef MIXOUTB #undef MIXOUTB

View File

@@ -126,11 +126,6 @@ public:
MyList<var> *OldStateList, *DumpList; MyList<var> *OldStateList, *DumpList;
MyList<var> *ConstraintList; MyList<var> *ConstraintList;
Parallel::SyncCache *sync_cache_pre; // per-level cache for predictor sync
Parallel::SyncCache *sync_cache_cor; // per-level cache for corrector sync
Parallel::SyncCache *sync_cache_rp_coarse; // RestrictProlong sync on PatL[lev-1]
Parallel::SyncCache *sync_cache_rp_fine; // RestrictProlong sync on PatL[lev]
monitor *ErrorMonitor, *Psi4Monitor, *BHMonitor, *MAPMonitor; monitor *ErrorMonitor, *Psi4Monitor, *BHMonitor, *MAPMonitor;
monitor *ConVMonitor; monitor *ConVMonitor;
surface_integral *Waveshell; surface_integral *Waveshell;

View File

@@ -106,8 +106,7 @@
call getpbh(BHN,Porg,Mass) call getpbh(BHN,Porg,Mass)
#endif #endif
!!! sanity check (disabled in production builds for performance) !!! sanity check
#ifdef DEBUG
dX = sum(chi)+sum(trK)+sum(dxx)+sum(gxy)+sum(gxz)+sum(dyy)+sum(gyz)+sum(dzz) & dX = sum(chi)+sum(trK)+sum(dxx)+sum(gxy)+sum(gxz)+sum(dyy)+sum(gyz)+sum(dzz) &
+sum(Axx)+sum(Axy)+sum(Axz)+sum(Ayy)+sum(Ayz)+sum(Azz) & +sum(Axx)+sum(Axy)+sum(Axz)+sum(Ayy)+sum(Ayz)+sum(Azz) &
+sum(Gamx)+sum(Gamy)+sum(Gamz) & +sum(Gamx)+sum(Gamy)+sum(Gamz) &
@@ -137,7 +136,6 @@
gont = 1 gont = 1
return return
endif endif
#endif
PI = dacos(-ONE) PI = dacos(-ONE)
@@ -945,60 +943,103 @@
SSA(2)=SYM SSA(2)=SYM
SSA(3)=ANTI SSA(3)=ANTI
!!!!!!!!!advection term + Kreiss-Oliger dissipation (merged for cache efficiency) !!!!!!!!!advection term part
! lopsided_kodis shares the symmetry_bd buffer between advection and
! dissipation, eliminating redundant full-grid copies. For metric variables
! gxx/gyy/gzz (=dxx/dyy/dzz+1): kodis stencil coefficients sum to zero,
! so the constant offset has no effect on dissipation.
call lopsided_kodis(ex,X,Y,Z,gxx,gxx_rhs,betax,betay,betaz,Symmetry,SSS,eps) call lopsided(ex,X,Y,Z,gxx,gxx_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided_kodis(ex,X,Y,Z,gxy,gxy_rhs,betax,betay,betaz,Symmetry,AAS,eps) call lopsided(ex,X,Y,Z,gxy,gxy_rhs,betax,betay,betaz,Symmetry,AAS)
call lopsided_kodis(ex,X,Y,Z,gxz,gxz_rhs,betax,betay,betaz,Symmetry,ASA,eps) call lopsided(ex,X,Y,Z,gxz,gxz_rhs,betax,betay,betaz,Symmetry,ASA)
call lopsided_kodis(ex,X,Y,Z,gyy,gyy_rhs,betax,betay,betaz,Symmetry,SSS,eps) call lopsided(ex,X,Y,Z,gyy,gyy_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided_kodis(ex,X,Y,Z,gyz,gyz_rhs,betax,betay,betaz,Symmetry,SAA,eps) call lopsided(ex,X,Y,Z,gyz,gyz_rhs,betax,betay,betaz,Symmetry,SAA)
call lopsided_kodis(ex,X,Y,Z,gzz,gzz_rhs,betax,betay,betaz,Symmetry,SSS,eps) call lopsided(ex,X,Y,Z,gzz,gzz_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided_kodis(ex,X,Y,Z,Axx,Axx_rhs,betax,betay,betaz,Symmetry,SSS,eps) call lopsided(ex,X,Y,Z,Axx,Axx_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided_kodis(ex,X,Y,Z,Axy,Axy_rhs,betax,betay,betaz,Symmetry,AAS,eps) call lopsided(ex,X,Y,Z,Axy,Axy_rhs,betax,betay,betaz,Symmetry,AAS)
call lopsided_kodis(ex,X,Y,Z,Axz,Axz_rhs,betax,betay,betaz,Symmetry,ASA,eps) call lopsided(ex,X,Y,Z,Axz,Axz_rhs,betax,betay,betaz,Symmetry,ASA)
call lopsided_kodis(ex,X,Y,Z,Ayy,Ayy_rhs,betax,betay,betaz,Symmetry,SSS,eps) call lopsided(ex,X,Y,Z,Ayy,Ayy_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided_kodis(ex,X,Y,Z,Ayz,Ayz_rhs,betax,betay,betaz,Symmetry,SAA,eps) call lopsided(ex,X,Y,Z,Ayz,Ayz_rhs,betax,betay,betaz,Symmetry,SAA)
call lopsided_kodis(ex,X,Y,Z,Azz,Azz_rhs,betax,betay,betaz,Symmetry,SSS,eps) call lopsided(ex,X,Y,Z,Azz,Azz_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided_kodis(ex,X,Y,Z,chi,chi_rhs,betax,betay,betaz,Symmetry,SSS,eps) call lopsided(ex,X,Y,Z,chi,chi_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided_kodis(ex,X,Y,Z,trK,trK_rhs,betax,betay,betaz,Symmetry,SSS,eps) call lopsided(ex,X,Y,Z,trK,trK_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided_kodis(ex,X,Y,Z,Gamx,Gamx_rhs,betax,betay,betaz,Symmetry,ASS,eps) call lopsided(ex,X,Y,Z,Gamx,Gamx_rhs,betax,betay,betaz,Symmetry,ASS)
call lopsided_kodis(ex,X,Y,Z,Gamy,Gamy_rhs,betax,betay,betaz,Symmetry,SAS,eps) call lopsided(ex,X,Y,Z,Gamy,Gamy_rhs,betax,betay,betaz,Symmetry,SAS)
call lopsided_kodis(ex,X,Y,Z,Gamz,Gamz_rhs,betax,betay,betaz,Symmetry,SSA,eps) call lopsided(ex,X,Y,Z,Gamz,Gamz_rhs,betax,betay,betaz,Symmetry,SSA)
!!
#if 1
!! bam does not apply dissipation on gauge variables
call lopsided_kodis(ex,X,Y,Z,Lap,Lap_rhs,betax,betay,betaz,Symmetry,SSS,eps)
#if (GAUGE == 0 || GAUGE == 1 || GAUGE == 2 || GAUGE == 3 || GAUGE == 4 || GAUGE == 5 || GAUGE == 6 || GAUGE == 7)
call lopsided_kodis(ex,X,Y,Z,betax,betax_rhs,betax,betay,betaz,Symmetry,ASS,eps)
call lopsided_kodis(ex,X,Y,Z,betay,betay_rhs,betax,betay,betaz,Symmetry,SAS,eps)
call lopsided_kodis(ex,X,Y,Z,betaz,betaz_rhs,betax,betay,betaz,Symmetry,SSA,eps)
#endif
#if (GAUGE == 0 || GAUGE == 2 || GAUGE == 3 || GAUGE == 6 || GAUGE == 7)
call lopsided_kodis(ex,X,Y,Z,dtSfx,dtSfx_rhs,betax,betay,betaz,Symmetry,ASS,eps)
call lopsided_kodis(ex,X,Y,Z,dtSfy,dtSfy_rhs,betax,betay,betaz,Symmetry,SAS,eps)
call lopsided_kodis(ex,X,Y,Z,dtSfz,dtSfz_rhs,betax,betay,betaz,Symmetry,SSA,eps)
#endif
#else
! No dissipation on gauge variables (advection only)
call lopsided(ex,X,Y,Z,Lap,Lap_rhs,betax,betay,betaz,Symmetry,SSS) call lopsided(ex,X,Y,Z,Lap,Lap_rhs,betax,betay,betaz,Symmetry,SSS)
#if (GAUGE == 0 || GAUGE == 1 || GAUGE == 2 || GAUGE == 3 || GAUGE == 4 || GAUGE == 5 || GAUGE == 6 || GAUGE == 7) #if (GAUGE == 0 || GAUGE == 1 || GAUGE == 2 || GAUGE == 3 || GAUGE == 4 || GAUGE == 5 || GAUGE == 6 || GAUGE == 7)
call lopsided(ex,X,Y,Z,betax,betax_rhs,betax,betay,betaz,Symmetry,ASS) call lopsided(ex,X,Y,Z,betax,betax_rhs,betax,betay,betaz,Symmetry,ASS)
call lopsided(ex,X,Y,Z,betay,betay_rhs,betax,betay,betaz,Symmetry,SAS) call lopsided(ex,X,Y,Z,betay,betay_rhs,betax,betay,betaz,Symmetry,SAS)
call lopsided(ex,X,Y,Z,betaz,betaz_rhs,betax,betay,betaz,Symmetry,SSA) call lopsided(ex,X,Y,Z,betaz,betaz_rhs,betax,betay,betaz,Symmetry,SSA)
#endif #endif
#if (GAUGE == 0 || GAUGE == 2 || GAUGE == 3 || GAUGE == 6 || GAUGE == 7) #if (GAUGE == 0 || GAUGE == 2 || GAUGE == 3 || GAUGE == 6 || GAUGE == 7)
call lopsided(ex,X,Y,Z,dtSfx,dtSfx_rhs,betax,betay,betaz,Symmetry,ASS) call lopsided(ex,X,Y,Z,dtSfx,dtSfx_rhs,betax,betay,betaz,Symmetry,ASS)
call lopsided(ex,X,Y,Z,dtSfy,dtSfy_rhs,betax,betay,betaz,Symmetry,SAS) call lopsided(ex,X,Y,Z,dtSfy,dtSfy_rhs,betax,betay,betaz,Symmetry,SAS)
call lopsided(ex,X,Y,Z,dtSfz,dtSfz_rhs,betax,betay,betaz,Symmetry,SSA) call lopsided(ex,X,Y,Z,dtSfz,dtSfz_rhs,betax,betay,betaz,Symmetry,SSA)
#endif #endif
if(eps>0)then
! usual Kreiss-Oliger dissipation
call kodis(ex,X,Y,Z,chi,chi_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,trK,trK_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,dxx,gxx_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,gxy,gxy_rhs,AAS,Symmetry,eps)
call kodis(ex,X,Y,Z,gxz,gxz_rhs,ASA,Symmetry,eps)
call kodis(ex,X,Y,Z,dyy,gyy_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,gyz,gyz_rhs,SAA,Symmetry,eps)
call kodis(ex,X,Y,Z,dzz,gzz_rhs,SSS,Symmetry,eps)
#if 0
#define i 42
#define j 40
#define k 40
if(Lev == 1)then
write(*,*) X(i),Y(j),Z(k)
write(*,*) "before",Axx_rhs(i,j,k)
endif
#undef i
#undef j
#undef k
!!stop
#endif #endif
call kodis(ex,X,Y,Z,Axx,Axx_rhs,SSS,Symmetry,eps)
#if 0
#define i 42
#define j 40
#define k 40
if(Lev == 1)then
write(*,*) X(i),Y(j),Z(k)
write(*,*) "after",Axx_rhs(i,j,k)
endif
#undef i
#undef j
#undef k
!!stop
#endif
call kodis(ex,X,Y,Z,Axy,Axy_rhs,AAS,Symmetry,eps)
call kodis(ex,X,Y,Z,Axz,Axz_rhs,ASA,Symmetry,eps)
call kodis(ex,X,Y,Z,Ayy,Ayy_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,Ayz,Ayz_rhs,SAA,Symmetry,eps)
call kodis(ex,X,Y,Z,Azz,Azz_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,Gamx,Gamx_rhs,ASS,Symmetry,eps)
call kodis(ex,X,Y,Z,Gamy,Gamy_rhs,SAS,Symmetry,eps)
call kodis(ex,X,Y,Z,Gamz,Gamz_rhs,SSA,Symmetry,eps)
#if 1
!! bam does not apply dissipation on gauge variables
call kodis(ex,X,Y,Z,Lap,Lap_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,betax,betax_rhs,ASS,Symmetry,eps)
call kodis(ex,X,Y,Z,betay,betay_rhs,SAS,Symmetry,eps)
call kodis(ex,X,Y,Z,betaz,betaz_rhs,SSA,Symmetry,eps)
#if (GAUGE == 0 || GAUGE == 2 || GAUGE == 3 || GAUGE == 6 || GAUGE == 7)
call kodis(ex,X,Y,Z,dtSfx,dtSfx_rhs,ASS,Symmetry,eps)
call kodis(ex,X,Y,Z,dtSfy,dtSfy_rhs,SAS,Symmetry,eps)
call kodis(ex,X,Y,Z,dtSfz,dtSfz_rhs,SSA,Symmetry,eps)
#endif
#endif
endif
if(co == 0)then if(co == 0)then
! ham_Res = trR + 2/3 * K^2 - A_ij * A^ij - 16 * PI * rho ! ham_Res = trR + 2/3 * K^2 - A_ij * A^ij - 16 * PI * rho

File diff suppressed because it is too large Load Diff

View File

@@ -1,107 +1,92 @@
#ifndef CGH_H #ifndef CGH_H
#define CGH_H #define CGH_H
#include <mpi.h> #include <mpi.h>
#include "MyList.h" #include "MyList.h"
#include "MPatch.h" #include "MPatch.h"
#include "macrodef.h" #include "macrodef.h"
#include "monitor.h" #include "monitor.h"
#include "Parallel.h" #include "Parallel.h"
class cgh class cgh
{ {
public: public:
int levels, movls, BH_num_in; int levels, movls, BH_num_in;
// information of boxes // information of boxes
int *grids; int *grids;
double ***bbox; double ***bbox;
int ***shape; int ***shape;
double ***handle; double ***handle;
double ***Porgls; double ***Porgls;
double *Lt; double *Lt;
// information of Patch list // information of Patch list
MyList<Patch> **PatL; MyList<Patch> **PatL;
// information of OutBdLow2Hi point list and Restrict point list // information of OutBdLow2Hi point list and Restrict point list
#if (RPB == 1) #if (RPB == 1)
MyList<Parallel::pointstru_bam> **bdsul, **rsul; MyList<Parallel::pointstru_bam> **bdsul, **rsul;
#endif #endif
#if (PSTR == 1 || PSTR == 2 || PSTR == 3) #if (PSTR == 1 || PSTR == 2 || PSTR == 3)
int mylev; int mylev;
int *start_rank, *end_rank; int *start_rank, *end_rank;
MPI_Comm *Commlev; MPI_Comm *Commlev;
#endif #endif
protected: protected:
int ingfs, fngfs; int ingfs, fngfs;
static constexpr double ratio = 0.75; static constexpr double ratio = 0.75;
int trfls; int trfls;
public: public:
cgh(int ingfsi, int fngfsi, int Symmetry, char *filename, int checkrun, monitor *ErrorMonitor); cgh(int ingfsi, int fngfsi, int Symmetry, char *filename, int checkrun, monitor *ErrorMonitor);
~cgh(); ~cgh();
void compose_cgh(int nprocs); void compose_cgh(int nprocs);
void sethandle(monitor *ErrorMonitor); void sethandle(monitor *ErrorMonitor);
void checkPatchList(MyList<Patch> *PatL, bool buflog); void checkPatchList(MyList<Patch> *PatL, bool buflog);
void Regrid(int Symmetry, int BH_num, double **Porgbr, double **Porg0, void Regrid(int Symmetry, int BH_num, double **Porgbr, double **Porg0,
MyList<var> *OldList, MyList<var> *StateList, MyList<var> *OldList, MyList<var> *StateList,
MyList<var> *FutureList, MyList<var> *tmList, bool BB, MyList<var> *FutureList, MyList<var> *tmList, bool BB,
monitor *ErrorMonitor); monitor *ErrorMonitor);
void Regrid_fake(int Symmetry, int BH_num, double **Porgbr, double **Porg0, void Regrid_fake(int Symmetry, int BH_num, double **Porgbr, double **Porg0,
MyList<var> *OldList, MyList<var> *StateList, MyList<var> *OldList, MyList<var> *StateList,
MyList<var> *FutureList, MyList<var> *tmList, bool BB, MyList<var> *FutureList, MyList<var> *tmList, bool BB,
monitor *ErrorMonitor); monitor *ErrorMonitor);
void recompose_cgh(int nprocs, bool *lev_flag, void recompose_cgh(int nprocs, bool *lev_flag,
MyList<var> *OldList, MyList<var> *StateList, MyList<var> *OldList, MyList<var> *StateList,
MyList<var> *FutureList, MyList<var> *tmList, MyList<var> *FutureList, MyList<var> *tmList,
int Symmetry, bool BB); int Symmetry, bool BB);
void recompose_cgh_fake(int nprocs, bool *lev_flag, void recompose_cgh_fake(int nprocs, bool *lev_flag,
MyList<var> *OldList, MyList<var> *StateList, MyList<var> *OldList, MyList<var> *StateList,
MyList<var> *FutureList, MyList<var> *tmList, MyList<var> *FutureList, MyList<var> *tmList,
int Symmetry, bool BB); int Symmetry, bool BB);
void read_bbox(int Symmetry, char *filename); void read_bbox(int Symmetry, char *filename);
MyList<Patch> *construct_patchlist(int lev, int Symmetry); MyList<Patch> *construct_patchlist(int lev, int Symmetry);
bool Interp_One_Point(MyList<var> *VarList, bool Interp_One_Point(MyList<var> *VarList,
double *XX, /*input global Cartesian coordinate*/ double *XX, /*input global Cartesian coordinate*/
double *Shellf, int Symmetry); double *Shellf, int Symmetry);
void recompose_cgh_Onelevel(int nprocs, int lev, void recompose_cgh_Onelevel(int nprocs, int lev,
MyList<var> *OldList, MyList<var> *StateList, MyList<var> *OldList, MyList<var> *StateList,
MyList<var> *FutureList, MyList<var> *tmList, MyList<var> *FutureList, MyList<var> *tmList,
int Symmetry, bool BB); int Symmetry, bool BB);
void Regrid_Onelevel(int lev, int Symmetry, int BH_num, double **Porgbr, double **Porg0, void Regrid_Onelevel(int lev, int Symmetry, int BH_num, double **Porgbr, double **Porg0,
MyList<var> *OldList, MyList<var> *StateList, MyList<var> *OldList, MyList<var> *StateList,
MyList<var> *FutureList, MyList<var> *tmList, bool BB, MyList<var> *FutureList, MyList<var> *tmList, bool BB,
monitor *ErrorMonitor); monitor *ErrorMonitor);
void Regrid_Onelevel_aux(int lev, int Symmetry, int BH_num, double **Porgbr, double **Porg0, void Regrid_Onelevel_aux(int lev, int Symmetry, int BH_num, double **Porgbr, double **Porg0,
MyList<var> *OldList, MyList<var> *StateList, MyList<var> *OldList, MyList<var> *StateList,
MyList<var> *FutureList, MyList<var> *tmList, bool BB, MyList<var> *FutureList, MyList<var> *tmList, bool BB,
monitor *ErrorMonitor); monitor *ErrorMonitor);
void settrfls(const int lev); void settrfls(const int lev);
#if (PSTR == 1 || PSTR == 2 || PSTR == 3) #if (PSTR == 1 || PSTR == 2 || PSTR == 3)
void construct_mylev(int nprocs); void construct_mylev(int nprocs);
#endif #endif
};
// Load balancing support
bool enable_load_balance; // Enable load balancing #endif /* CGH_H */
int load_balance_check_interval; // Check interval (in time steps)
int current_time_step; // Current time step counter
double *rank_interp_times; // Store interpolation times for each rank
int *heavy_ranks; // Store heavy rank numbers
int num_heavy_ranks; // Number of heavy ranks
void init_load_balance(int nprocs);
void update_interp_time(int rank, double time);
bool check_and_rebalance(int nprocs, int lev,
MyList<var> *OldList, MyList<var> *StateList,
MyList<var> *FutureList, MyList<var> *tmList,
int Symmetry, bool BB);
};
#endif /* CGH_H */

File diff suppressed because it is too large Load Diff

View File

@@ -18,61 +18,49 @@
real*8, dimension(ex(1),ex(2),ex(3)), intent(inout) :: Ayy,Ayz,Azz real*8, dimension(ex(1),ex(2),ex(3)), intent(inout) :: Ayy,Ayz,Azz
!~~~~~~~> Local variable: !~~~~~~~> Local variable:
integer :: i,j,k real*8, dimension(ex(1),ex(2),ex(3)) :: trA,detg
real*8 :: lgxx,lgyy,lgzz,ldetg real*8, dimension(ex(1),ex(2),ex(3)) :: gxx,gyy,gzz
real*8 :: lgupxx,lgupxy,lgupxz,lgupyy,lgupyz,lgupzz real*8, dimension(ex(1),ex(2),ex(3)) :: gupxx,gupxy,gupxz,gupyy,gupyz,gupzz
real*8 :: ltrA,lscale
real*8, parameter :: F1o3 = 1.D0 / 3.D0, ONE = 1.D0, TWO = 2.D0 real*8, parameter :: F1o3 = 1.D0 / 3.D0, ONE = 1.D0, TWO = 2.D0
!~~~~~~> !~~~~~~>
do k=1,ex(3) gxx = dxx + ONE
do j=1,ex(2) gyy = dyy + ONE
do i=1,ex(1) gzz = dzz + ONE
lgxx = dxx(i,j,k) + ONE detg = gxx * gyy * gzz + gxy * gyz * gxz + gxz * gxy * gyz - &
lgyy = dyy(i,j,k) + ONE gxz * gyy * gxz - gxy * gxy * gzz - gxx * gyz * gyz
lgzz = dzz(i,j,k) + ONE gupxx = ( gyy * gzz - gyz * gyz ) / detg
gupxy = - ( gxy * gzz - gyz * gxz ) / detg
gupxz = ( gxy * gyz - gyy * gxz ) / detg
gupyy = ( gxx * gzz - gxz * gxz ) / detg
gupyz = - ( gxx * gyz - gxy * gxz ) / detg
gupzz = ( gxx * gyy - gxy * gxy ) / detg
ldetg = lgxx * lgyy * lgzz & trA = gupxx * Axx + gupyy * Ayy + gupzz * Azz &
+ gxy(i,j,k) * gyz(i,j,k) * gxz(i,j,k) & + TWO * (gupxy * Axy + gupxz * Axz + gupyz * Ayz)
+ gxz(i,j,k) * gxy(i,j,k) * gyz(i,j,k) &
- gxz(i,j,k) * lgyy * gxz(i,j,k) &
- gxy(i,j,k) * gxy(i,j,k) * lgzz &
- lgxx * gyz(i,j,k) * gyz(i,j,k)
lgupxx = ( lgyy * lgzz - gyz(i,j,k) * gyz(i,j,k) ) / ldetg Axx = Axx - F1o3 * gxx * trA
lgupxy = - ( gxy(i,j,k) * lgzz - gyz(i,j,k) * gxz(i,j,k) ) / ldetg Axy = Axy - F1o3 * gxy * trA
lgupxz = ( gxy(i,j,k) * gyz(i,j,k) - lgyy * gxz(i,j,k) ) / ldetg Axz = Axz - F1o3 * gxz * trA
lgupyy = ( lgxx * lgzz - gxz(i,j,k) * gxz(i,j,k) ) / ldetg Ayy = Ayy - F1o3 * gyy * trA
lgupyz = - ( lgxx * gyz(i,j,k) - gxy(i,j,k) * gxz(i,j,k) ) / ldetg Ayz = Ayz - F1o3 * gyz * trA
lgupzz = ( lgxx * lgyy - gxy(i,j,k) * gxy(i,j,k) ) / ldetg Azz = Azz - F1o3 * gzz * trA
ltrA = lgupxx * Axx(i,j,k) + lgupyy * Ayy(i,j,k) & detg = ONE / ( detg ** F1o3 )
+ lgupzz * Azz(i,j,k) &
+ TWO * (lgupxy * Axy(i,j,k) + lgupxz * Axz(i,j,k) & gxx = gxx * detg
+ lgupyz * Ayz(i,j,k)) gxy = gxy * detg
gxz = gxz * detg
gyy = gyy * detg
gyz = gyz * detg
gzz = gzz * detg
Axx(i,j,k) = Axx(i,j,k) - F1o3 * lgxx * ltrA dxx = gxx - ONE
Axy(i,j,k) = Axy(i,j,k) - F1o3 * gxy(i,j,k) * ltrA dyy = gyy - ONE
Axz(i,j,k) = Axz(i,j,k) - F1o3 * gxz(i,j,k) * ltrA dzz = gzz - ONE
Ayy(i,j,k) = Ayy(i,j,k) - F1o3 * lgyy * ltrA
Ayz(i,j,k) = Ayz(i,j,k) - F1o3 * gyz(i,j,k) * ltrA
Azz(i,j,k) = Azz(i,j,k) - F1o3 * lgzz * ltrA
lscale = ONE / ( ldetg ** F1o3 )
dxx(i,j,k) = lgxx * lscale - ONE
gxy(i,j,k) = gxy(i,j,k) * lscale
gxz(i,j,k) = gxz(i,j,k) * lscale
dyy(i,j,k) = lgyy * lscale - ONE
gyz(i,j,k) = gyz(i,j,k) * lscale
dzz(i,j,k) = lgzz * lscale - ONE
enddo
enddo
enddo
return return
@@ -94,71 +82,51 @@
real*8, dimension(ex(1),ex(2),ex(3)), intent(inout) :: Ayy,Ayz,Azz real*8, dimension(ex(1),ex(2),ex(3)), intent(inout) :: Ayy,Ayz,Azz
!~~~~~~~> Local variable: !~~~~~~~> Local variable:
integer :: i,j,k real*8, dimension(ex(1),ex(2),ex(3)) :: trA
real*8 :: lgxx,lgyy,lgzz,lscale real*8, dimension(ex(1),ex(2),ex(3)) :: gxx,gyy,gzz
real*8 :: lgxy,lgxz,lgyz real*8, dimension(ex(1),ex(2),ex(3)) :: gupxx,gupxy,gupxz,gupyy,gupyz,gupzz
real*8 :: lgupxx,lgupxy,lgupxz,lgupyy,lgupyz,lgupzz
real*8 :: ltrA
real*8, parameter :: F1o3 = 1.D0 / 3.D0, ONE = 1.D0, TWO = 2.D0 real*8, parameter :: F1o3 = 1.D0 / 3.D0, ONE = 1.D0, TWO = 2.D0
!~~~~~~> !~~~~~~>
do k=1,ex(3) gxx = dxx + ONE
do j=1,ex(2) gyy = dyy + ONE
do i=1,ex(1) gzz = dzz + ONE
! for g
gupzz = gxx * gyy * gzz + gxy * gyz * gxz + gxz * gxy * gyz - &
gxz * gyy * gxz - gxy * gxy * gzz - gxx * gyz * gyz
! for g: normalize determinant first gupzz = ONE / ( gupzz ** F1o3 )
lgxx = dxx(i,j,k) + ONE
lgyy = dyy(i,j,k) + ONE gxx = gxx * gupzz
lgzz = dzz(i,j,k) + ONE gxy = gxy * gupzz
lgxy = gxy(i,j,k) gxz = gxz * gupzz
lgxz = gxz(i,j,k) gyy = gyy * gupzz
lgyz = gyz(i,j,k) gyz = gyz * gupzz
gzz = gzz * gupzz
lscale = lgxx * lgyy * lgzz + lgxy * lgyz * lgxz & dxx = gxx - ONE
+ lgxz * lgxy * lgyz - lgxz * lgyy * lgxz & dyy = gyy - ONE
- lgxy * lgxy * lgzz - lgxx * lgyz * lgyz dzz = gzz - ONE
! for A
lscale = ONE / ( lscale ** F1o3 ) gupxx = ( gyy * gzz - gyz * gyz )
gupxy = - ( gxy * gzz - gyz * gxz )
gupxz = ( gxy * gyz - gyy * gxz )
gupyy = ( gxx * gzz - gxz * gxz )
gupyz = - ( gxx * gyz - gxy * gxz )
gupzz = ( gxx * gyy - gxy * gxy )
lgxx = lgxx * lscale trA = gupxx * Axx + gupyy * Ayy + gupzz * Azz &
lgxy = lgxy * lscale + TWO * (gupxy * Axy + gupxz * Axz + gupyz * Ayz)
lgxz = lgxz * lscale
lgyy = lgyy * lscale
lgyz = lgyz * lscale
lgzz = lgzz * lscale
dxx(i,j,k) = lgxx - ONE Axx = Axx - F1o3 * gxx * trA
gxy(i,j,k) = lgxy Axy = Axy - F1o3 * gxy * trA
gxz(i,j,k) = lgxz Axz = Axz - F1o3 * gxz * trA
dyy(i,j,k) = lgyy - ONE Ayy = Ayy - F1o3 * gyy * trA
gyz(i,j,k) = lgyz Ayz = Ayz - F1o3 * gyz * trA
dzz(i,j,k) = lgzz - ONE Azz = Azz - F1o3 * gzz * trA
! for A: trace-free using normalized metric (det=1, no division needed)
lgupxx = ( lgyy * lgzz - lgyz * lgyz )
lgupxy = - ( lgxy * lgzz - lgyz * lgxz )
lgupxz = ( lgxy * lgyz - lgyy * lgxz )
lgupyy = ( lgxx * lgzz - lgxz * lgxz )
lgupyz = - ( lgxx * lgyz - lgxy * lgxz )
lgupzz = ( lgxx * lgyy - lgxy * lgxy )
ltrA = lgupxx * Axx(i,j,k) + lgupyy * Ayy(i,j,k) &
+ lgupzz * Azz(i,j,k) &
+ TWO * (lgupxy * Axy(i,j,k) + lgupxz * Axz(i,j,k) &
+ lgupyz * Ayz(i,j,k))
Axx(i,j,k) = Axx(i,j,k) - F1o3 * lgxx * ltrA
Axy(i,j,k) = Axy(i,j,k) - F1o3 * lgxy * ltrA
Axz(i,j,k) = Axz(i,j,k) - F1o3 * lgxz * ltrA
Ayy(i,j,k) = Ayy(i,j,k) - F1o3 * lgyy * ltrA
Ayz(i,j,k) = Ayz(i,j,k) - F1o3 * lgyz * ltrA
Azz(i,j,k) = Azz(i,j,k) - F1o3 * lgzz * ltrA
enddo
enddo
enddo
return return

View File

@@ -324,6 +324,7 @@ subroutine symmetry_bd(ord,extc,func,funcc,SoA)
integer::i integer::i
funcc = 0.d0
funcc(1:extc(1),1:extc(2),1:extc(3)) = func funcc(1:extc(1),1:extc(2),1:extc(3)) = func
do i=0,ord-1 do i=0,ord-1
funcc(-i,1:extc(2),1:extc(3)) = funcc(i+2,1:extc(2),1:extc(3))*SoA(1) funcc(-i,1:extc(2),1:extc(3)) = funcc(i+2,1:extc(2),1:extc(3))*SoA(1)
@@ -349,6 +350,7 @@ subroutine symmetry_tbd(ord,extc,func,funcc,SoA)
integer::i integer::i
funcc = 0.d0
funcc(1:extc(1),1:extc(2),1:extc(3)) = func funcc(1:extc(1),1:extc(2),1:extc(3)) = func
do i=0,ord-1 do i=0,ord-1
funcc(-i,1:extc(2),1:extc(3)) = funcc(i+2,1:extc(2),1:extc(3))*SoA(1) funcc(-i,1:extc(2),1:extc(3)) = funcc(i+2,1:extc(2),1:extc(3))*SoA(1)
@@ -377,6 +379,7 @@ subroutine symmetry_stbd(ord,extc,func,funcc,SoA)
integer::i integer::i
funcc = 0.d0
funcc(1:extc(1),1:extc(2),1:extc(3)) = func funcc(1:extc(1),1:extc(2),1:extc(3)) = func
do i=0,ord-1 do i=0,ord-1
funcc(-i,1:extc(2),1:extc(3)) = funcc(i+2,1:extc(2),1:extc(3))*SoA(1) funcc(-i,1:extc(2),1:extc(3)) = funcc(i+2,1:extc(2),1:extc(3))*SoA(1)
@@ -883,17 +886,14 @@ subroutine symmetry_bd(ord,extc,func,funcc,SoA)
integer::i integer::i
!DIR$ SIMD VECTORLENGTHFOR(KNOWN_INTEGER=8) funcc = 0.d0
funcc(1:extc(1),1:extc(2),1:extc(3)) = func funcc(1:extc(1),1:extc(2),1:extc(3)) = func
!DIR$ SIMD VECTORLENGTHFOR(KNOWN_INTEGER=8)
do i=0,ord-1 do i=0,ord-1
funcc(-i,1:extc(2),1:extc(3)) = funcc(i+1,1:extc(2),1:extc(3))*SoA(1) funcc(-i,1:extc(2),1:extc(3)) = funcc(i+1,1:extc(2),1:extc(3))*SoA(1)
enddo enddo
!DIR$ SIMD VECTORLENGTHFOR(KNOWN_INTEGER=8)
do i=0,ord-1 do i=0,ord-1
funcc(:,-i,1:extc(3)) = funcc(:,i+1,1:extc(3))*SoA(2) funcc(:,-i,1:extc(3)) = funcc(:,i+1,1:extc(3))*SoA(2)
enddo enddo
!DIR$ SIMD VECTORLENGTHFOR(KNOWN_INTEGER=8)
do i=0,ord-1 do i=0,ord-1
funcc(:,:,-i) = funcc(:,:,i+1)*SoA(3) funcc(:,:,-i) = funcc(:,:,i+1)*SoA(3)
enddo enddo
@@ -912,6 +912,7 @@ subroutine symmetry_tbd(ord,extc,func,funcc,SoA)
integer::i integer::i
funcc = 0.d0
funcc(1:extc(1),1:extc(2),1:extc(3)) = func funcc(1:extc(1),1:extc(2),1:extc(3)) = func
do i=0,ord-1 do i=0,ord-1
funcc(-i,1:extc(2),1:extc(3)) = funcc(i+1,1:extc(2),1:extc(3))*SoA(1) funcc(-i,1:extc(2),1:extc(3)) = funcc(i+1,1:extc(2),1:extc(3))*SoA(1)
@@ -940,6 +941,7 @@ subroutine symmetry_stbd(ord,extc,func,funcc,SoA)
integer::i integer::i
funcc = 0.d0
funcc(1:extc(1),1:extc(2),1:extc(3)) = func funcc(1:extc(1),1:extc(2),1:extc(3)) = func
do i=0,ord-1 do i=0,ord-1
funcc(-i,1:extc(2),1:extc(3)) = funcc(i+1,1:extc(2),1:extc(3))*SoA(1) funcc(-i,1:extc(2),1:extc(3)) = funcc(i+1,1:extc(2),1:extc(3))*SoA(1)
@@ -1115,9 +1117,7 @@ end subroutine d2dump
!------------------------------------------------------------------------------ !------------------------------------------------------------------------------
! Lagrangian polynomial interpolation ! Lagrangian polynomial interpolation
!------------------------------------------------------------------------------ !------------------------------------------------------------------------------
subroutine polint(xa, ya, x, y, dy, ordn)
!DIR$ ATTRIBUTES FORCEINLINE :: polint
subroutine polint(xa, ya, x, y, dy, ordn)
implicit none implicit none
integer, intent(in) :: ordn integer, intent(in) :: ordn
@@ -1129,13 +1129,15 @@ end subroutine d2dump
real*8, dimension(ordn) :: c, d, ho real*8, dimension(ordn) :: c, d, ho
real*8 :: dif, dift, hp, h, den_val real*8 :: dif, dift, hp, h, den_val
! Initialization
c = ya c = ya
d = ya d = ya
ho = xa - x ho = xa - x
ns = 1 ns = 1
dif = abs(x - xa(1)) dif = abs(x - xa(1))
! Find the index of the closest table entry
do i = 2, ordn do i = 2, ordn
dift = abs(x - xa(i)) dift = abs(x - xa(i))
if (dift < dif) then if (dift < dif) then
@@ -1146,26 +1148,31 @@ end subroutine d2dump
y = ya(ns) y = ya(ns)
ns = ns - 1 ns = ns - 1
! Main Neville's algorithm loop
do m = 1, ordn - 1 do m = 1, ordn - 1
n_m = ordn - m n_m = ordn - m
do i = 1, n_m do i = 1, n_m
hp = ho(i) hp = ho(i)
h = ho(i+m) h = ho(i+m)
den_val = hp - h den_val = hp - h
! Check for division by zero locally
if (den_val == 0.0d0) then if (den_val == 0.0d0) then
write(*,*) 'failure in polint for point',x write(*,*) 'failure in polint for point',x
write(*,*) 'with input points: ',xa write(*,*) 'with input points: ',xa
stop stop
end if end if
! Reuse den_val to avoid redundant divisions
den_val = (c(i+1) - d(i)) / den_val den_val = (c(i+1) - d(i)) / den_val
! Update c and d in place
d(i) = h * den_val d(i) = h * den_val
c(i) = hp * den_val c(i) = hp * den_val
end do end do
! Decide which path (up or down the tableau) to take
if (2 * ns < n_m) then if (2 * ns < n_m) then
dy = c(ns + 1) dy = c(ns + 1)
else else
@@ -1182,92 +1189,68 @@ end subroutine d2dump
! interpolation in 2 dimensions, follow yx order ! interpolation in 2 dimensions, follow yx order
! !
!------------------------------------------------------------------------------ !------------------------------------------------------------------------------
subroutine polin2(x1a,x2a,ya,x1,x2,y,dy,ordn) subroutine polin2(x1a,x2a,ya,x1,x2,y,dy,ordn)
implicit none implicit none
integer,intent(in) :: ordn
real*8, dimension(ordn), intent(in) :: x1a,x2a
real*8, dimension(ordn,ordn), intent(in) :: ya
real*8, intent(in) :: x1,x2
real*8, intent(out) :: y,dy
integer,intent(in) :: ordn integer :: j
real*8, dimension(1:ordn), intent(in) :: x1a,x2a real*8, dimension(ordn) :: ymtmp
real*8, dimension(1:ordn,1:ordn), intent(in) :: ya real*8 :: dy_temp ! Local variable to prevent overwriting result
real*8, intent(in) :: x1,x2
real*8, intent(out) :: y,dy
#ifdef POLINT_LEGACY_ORDER ! Optimized sequence: Loop over columns (j)
integer :: i,m ! ya(:,j) is a contiguous memory block in Fortran
real*8, dimension(ordn) :: ymtmp do j=1,ordn
real*8, dimension(ordn) :: yntmp call polint(x1a, ya(:,j), x1, ymtmp(j), dy_temp, ordn)
end do
m=size(x1a) ! Final interpolation on the results
do i=1,m call polint(x2a, ymtmp, x2, y, dy, ordn)
yntmp=ya(i,:)
call polint(x2a,yntmp,x2,ymtmp(i),dy,ordn)
end do
call polint(x1a,ymtmp,x1,y,dy,ordn)
#else
integer :: j
real*8, dimension(ordn) :: ymtmp
real*8 :: dy_temp
do j=1,ordn return
call polint(x1a, ya(:,j), x1, ymtmp(j), dy_temp, ordn)
end do
call polint(x2a, ymtmp, x2, y, dy, ordn)
#endif
return
end subroutine polin2 end subroutine polin2
!------------------------------------------------------------------------------ !------------------------------------------------------------------------------
! !
! interpolation in 3 dimensions, follow zyx order ! interpolation in 3 dimensions, follow zyx order
! !
!------------------------------------------------------------------------------ !------------------------------------------------------------------------------
subroutine polin3(x1a,x2a,x3a,ya,x1,x2,x3,y,dy,ordn) subroutine polin3(x1a,x2a,x3a,ya,x1,x2,x3,y,dy,ordn)
implicit none implicit none
integer,intent(in) :: ordn
real*8, dimension(ordn), intent(in) :: x1a,x2a,x3a
real*8, dimension(ordn,ordn,ordn), intent(in) :: ya
real*8, intent(in) :: x1,x2,x3
real*8, intent(out) :: y,dy
integer,intent(in) :: ordn integer :: j, k
real*8, dimension(1:ordn), intent(in) :: x1a,x2a,x3a real*8, dimension(ordn,ordn) :: yatmp
real*8, dimension(1:ordn,1:ordn,1:ordn), intent(in) :: ya real*8, dimension(ordn) :: ymtmp
real*8, intent(in) :: x1,x2,x3 real*8 :: dy_temp
real*8, intent(out) :: y,dy
#ifdef POLINT_LEGACY_ORDER ! Sequence change: Process the contiguous first dimension (x1) first.
integer :: i,j,m,n ! We loop through the 'slow' planes (j, k) to extract 'fast' columns.
real*8, dimension(ordn,ordn) :: yatmp do k=1,ordn
real*8, dimension(ordn) :: ymtmp do j=1,ordn
real*8, dimension(ordn) :: yntmp ! ya(:,j,k) is contiguous; much faster than ya(i,j,:)
real*8, dimension(ordn) :: yqtmp call polint(x1a, ya(:,j,k), x1, yatmp(j,k), dy_temp, ordn)
end do
m=size(x1a)
n=size(x2a)
do i=1,m
do j=1,n
yqtmp=ya(i,j,:)
call polint(x3a,yqtmp,x3,yatmp(i,j),dy,ordn)
end do
yntmp=yatmp(i,:)
call polint(x2a,yntmp,x2,ymtmp(i),dy,ordn)
end do
call polint(x1a,ymtmp,x1,y,dy,ordn)
#else
integer :: j, k
real*8, dimension(ordn,ordn) :: yatmp
real*8, dimension(ordn) :: ymtmp
real*8 :: dy_temp
do k=1,ordn
do j=1,ordn
call polint(x1a, ya(:,j,k), x1, yatmp(j,k), dy_temp, ordn)
end do end do
end do
do k=1,ordn
call polint(x2a, yatmp(:,k), x2, ymtmp(k), dy_temp, ordn)
end do
call polint(x3a, ymtmp, x3, y, dy, ordn)
#endif
return ! Now process the second dimension
do k=1,ordn
call polint(x2a, yatmp(:,k), x2, ymtmp(k), dy_temp, ordn)
end do
! Final dimension
call polint(x3a, ymtmp, x3, y, dy, ordn)
return
end subroutine polin3 end subroutine polin3
!-------------------------------------------------------------------------------------- !--------------------------------------------------------------------------------------
! calculate L2norm ! calculate L2norm
subroutine l2normhelper(ex, X, Y, Z,xmin,ymin,zmin,xmax,ymax,zmax,& subroutine l2normhelper(ex, X, Y, Z,xmin,ymin,zmin,xmax,ymax,zmax,&
f,f_out,gw) f,f_out,gw)
@@ -1284,9 +1267,7 @@ end subroutine d2dump
real*8 :: dX, dY, dZ real*8 :: dX, dY, dZ
integer::imin,jmin,kmin integer::imin,jmin,kmin
integer::imax,jmax,kmax integer::imax,jmax,kmax
integer::i,j,k,n_elements integer::i,j,k
real*8, dimension(:), allocatable :: f_flat
real*8, external :: DDOT
dX = X(2) - X(1) dX = X(2) - X(1)
dY = Y(2) - Y(1) dY = Y(2) - Y(1)
@@ -1310,12 +1291,7 @@ if(dabs(X(1)-xmin) < dX) imin = 1
if(dabs(Y(1)-ymin) < dY) jmin = 1 if(dabs(Y(1)-ymin) < dY) jmin = 1
if(dabs(Z(1)-zmin) < dZ) kmin = 1 if(dabs(Z(1)-zmin) < dZ) kmin = 1
! Optimized with oneMKL BLAS DDOT for dot product f_out = sum(f(imin:imax,jmin:jmax,kmin:kmax)*f(imin:imax,jmin:jmax,kmin:kmax))
n_elements = (imax-imin+1)*(jmax-jmin+1)*(kmax-kmin+1)
allocate(f_flat(n_elements))
f_flat = reshape(f(imin:imax,jmin:jmax,kmin:kmax), [n_elements])
f_out = DDOT(n_elements, f_flat, 1, f_flat, 1)
deallocate(f_flat)
f_out = f_out*dX*dY*dZ f_out = f_out*dX*dY*dZ
@@ -1340,9 +1316,7 @@ f_out = f_out*dX*dY*dZ
real*8 :: dX, dY, dZ real*8 :: dX, dY, dZ
integer::imin,jmin,kmin integer::imin,jmin,kmin
integer::imax,jmax,kmax integer::imax,jmax,kmax
integer::i,j,k,n_elements integer::i,j,k
real*8, dimension(:), allocatable :: f_flat
real*8, external :: DDOT
real*8 :: PIo4 real*8 :: PIo4
@@ -1405,12 +1379,7 @@ if(Symmetry==2)then
if(dabs(ymin+gw*dY)<dY.and.Y(1)<0.d0) jmin = gw+1 if(dabs(ymin+gw*dY)<dY.and.Y(1)<0.d0) jmin = gw+1
endif endif
! Optimized with oneMKL BLAS DDOT for dot product f_out = sum(f(imin:imax,jmin:jmax,kmin:kmax)*f(imin:imax,jmin:jmax,kmin:kmax))
n_elements = (imax-imin+1)*(jmax-jmin+1)*(kmax-kmin+1)
allocate(f_flat(n_elements))
f_flat = reshape(f(imin:imax,jmin:jmax,kmin:kmax), [n_elements])
f_out = DDOT(n_elements, f_flat, 1, f_flat, 1)
deallocate(f_flat)
f_out = f_out*dX*dY*dZ f_out = f_out*dX*dY*dZ
@@ -1438,8 +1407,6 @@ f_out = f_out*dX*dY*dZ
integer::imin,jmin,kmin integer::imin,jmin,kmin
integer::imax,jmax,kmax integer::imax,jmax,kmax
integer::i,j,k integer::i,j,k
real*8, dimension(:), allocatable :: f_flat
real*8, external :: DDOT
real*8 :: PIo4 real*8 :: PIo4
@@ -1502,12 +1469,11 @@ if(Symmetry==2)then
if(dabs(ymin+gw*dY)<dY.and.Y(1)<0.d0) jmin = gw+1 if(dabs(ymin+gw*dY)<dY.and.Y(1)<0.d0) jmin = gw+1
endif endif
! Optimized with oneMKL BLAS DDOT for dot product f_out = sum(f(imin:imax,jmin:jmax,kmin:kmax)*f(imin:imax,jmin:jmax,kmin:kmax))
f_out = f_out
Nout = (imax-imin+1)*(jmax-jmin+1)*(kmax-kmin+1) Nout = (imax-imin+1)*(jmax-jmin+1)*(kmax-kmin+1)
allocate(f_flat(Nout))
f_flat = reshape(f(imin:imax,jmin:jmax,kmin:kmax), [Nout])
f_out = DDOT(Nout, f_flat, 1, f_flat, 1)
deallocate(f_flat)
return return
@@ -1705,7 +1671,6 @@ deallocate(f_flat)
real*8, dimension(ORDN,ORDN) :: tmp2 real*8, dimension(ORDN,ORDN) :: tmp2
real*8, dimension(ORDN) :: tmp1 real*8, dimension(ORDN) :: tmp1
real*8, dimension(3) :: SoAh real*8, dimension(3) :: SoAh
real*8, external :: DDOT
! +1 because c++ gives 0 for first point ! +1 because c++ gives 0 for first point
cxB = inds+1 cxB = inds+1
@@ -1741,21 +1706,20 @@ deallocate(f_flat)
ya=fh(cxB(1):cxT(1),cxB(2):cxT(2),cxB(3):cxT(3)) ya=fh(cxB(1):cxT(1),cxB(2):cxT(2),cxB(3):cxT(3))
endif endif
! Optimized with BLAS operations for better performance
! First dimension: z-direction weighted sum
tmp2=0 tmp2=0
do m=1,ORDN do m=1,ORDN
tmp2 = tmp2 + coef(2*ORDN+m)*ya(:,:,m) tmp2 = tmp2 + coef(2*ORDN+m)*ya(:,:,m)
enddo enddo
! Second dimension: y-direction weighted sum
tmp1=0 tmp1=0
do m=1,ORDN do m=1,ORDN
tmp1 = tmp1 + coef(ORDN+m)*tmp2(:,m) tmp1 = tmp1 + coef(ORDN+m)*tmp2(:,m)
enddo enddo
! Third dimension: x-direction weighted sum using BLAS DDOT f_int=0
f_int = DDOT(ORDN, coef(1:ORDN), 1, tmp1, 1) do m=1,ORDN
f_int = f_int + coef(m)*tmp1(m)
enddo
return return
@@ -1785,7 +1749,6 @@ deallocate(f_flat)
real*8, dimension(ORDN,ORDN) :: ya real*8, dimension(ORDN,ORDN) :: ya
real*8, dimension(ORDN) :: tmp1 real*8, dimension(ORDN) :: tmp1
real*8, dimension(2) :: SoAh real*8, dimension(2) :: SoAh
real*8, external :: DDOT
! +1 because c++ gives 0 for first point ! +1 because c++ gives 0 for first point
cxB = inds(1:2)+1 cxB = inds(1:2)+1
@@ -1815,14 +1778,15 @@ deallocate(f_flat)
ya=fh(cxB(1):cxT(1),cxB(2):cxT(2),inds(3)) ya=fh(cxB(1):cxT(1),cxB(2):cxT(2),inds(3))
endif endif
! Optimized with BLAS operations
tmp1=0 tmp1=0
do m=1,ORDN do m=1,ORDN
tmp1 = tmp1 + coef(ORDN+m)*ya(:,m) tmp1 = tmp1 + coef(ORDN+m)*ya(:,m)
enddo enddo
! Use BLAS DDOT for final weighted sum f_int=0
f_int = DDOT(ORDN, coef(1:ORDN), 1, tmp1, 1) do m=1,ORDN
f_int = f_int + coef(m)*tmp1(m)
enddo
return return
@@ -1853,7 +1817,6 @@ deallocate(f_flat)
real*8, dimension(ORDN) :: ya real*8, dimension(ORDN) :: ya
real*8 :: SoAh real*8 :: SoAh
integer,dimension(3) :: inds integer,dimension(3) :: inds
real*8, external :: DDOT
! +1 because c++ gives 0 for first point ! +1 because c++ gives 0 for first point
inds = indsi + 1 inds = indsi + 1
@@ -1914,8 +1877,10 @@ deallocate(f_flat)
write(*,*)"error in global_interpind1d, not recognized dumyd = ",dumyd write(*,*)"error in global_interpind1d, not recognized dumyd = ",dumyd
endif endif
! Optimized with BLAS DDOT for weighted sum f_int=0
f_int = DDOT(ORDN, coef, 1, ya, 1) do m=1,ORDN
f_int = f_int + coef(m)*ya(m)
enddo
return return
@@ -2147,38 +2112,24 @@ deallocate(f_flat)
end function fWigner_d_function end function fWigner_d_function
!---------------------------------- !----------------------------------
! Optimized factorial function using lookup table for small N
! and log-gamma for large N to avoid overflow
function ffact(N) result(gont) function ffact(N) result(gont)
implicit none implicit none
integer,intent(in) :: N integer,intent(in) :: N
real*8 :: gont real*8 :: gont
integer :: i
! Lookup table for factorials 0! to 20! (precomputed) integer :: i
real*8, parameter, dimension(0:20) :: fact_table = [ &
1.d0, 1.d0, 2.d0, 6.d0, 24.d0, 120.d0, 720.d0, 5040.d0, 40320.d0, &
362880.d0, 3628800.d0, 39916800.d0, 479001600.d0, 6227020800.d0, &
87178291200.d0, 1307674368000.d0, 20922789888000.d0, &
355687428096000.d0, 6402373705728000.d0, 121645100408832000.d0, &
2432902008176640000.d0 ]
! sanity check ! sanity check
if(N < 0)then if(N < 0)then
write(*,*) "ffact: error input for factorial" write(*,*) "ffact: error input for factorial"
gont = 1.d0
return return
endif endif
! Use lookup table for small N (fast path) gont = 1.d0
if(N <= 20)then do i=1,N
gont = fact_table(N) gont = gont*i
else enddo
! Use log-gamma function for large N: N! = exp(log_gamma(N+1))
! This avoids overflow and is computed efficiently
gont = exp(log_gamma(dble(N+1)))
endif
return return
@@ -2312,3 +2263,4 @@ subroutine find_maximum(ext,X,Y,Z,fun,val,pos,llb,uub)
return return
end subroutine end subroutine

View File

@@ -16,66 +16,115 @@ using namespace std;
#include <string.h> #include <string.h>
#include <math.h> #include <math.h>
#endif #endif
/* Linear equation solution by Gauss-Jordan elimination.
// Intel oneMKL LAPACK interface
#include <mkl_lapacke.h>
/* Linear equation solution using Intel oneMKL LAPACK.
a[0..n-1][0..n-1] is the input matrix. b[0..n-1] is input a[0..n-1][0..n-1] is the input matrix. b[0..n-1] is input
containing the right-hand side vectors. On output a is containing the right-hand side vectors. On output a is
replaced by its matrix inverse, and b is replaced by the replaced by its matrix inverse, and b is replaced by the
corresponding set of solution vectors. corresponding set of solution vectors */
Mathematical equivalence:
Solves: A * x = b => x = A^(-1) * b
Original Gauss-Jordan and LAPACK dgesv/dgetri produce identical results
within numerical precision. */
int gaussj(double *a, double *b, int n) int gaussj(double *a, double *b, int n)
{ {
// Allocate pivot array and workspace double swap;
lapack_int *ipiv = new lapack_int[n];
lapack_int info;
// Make a copy of matrix a for solving (dgesv modifies it to LU form) int *indxc, *indxr, *ipiv;
double *a_copy = new double[n * n]; indxc = new int[n];
for (int i = 0; i < n * n; i++) { indxr = new int[n];
a_copy[i] = a[i]; ipiv = new int[n];
int i, icol, irow, j, k, l, ll;
double big, dum, pivinv, temp;
for (j = 0; j < n; j++)
ipiv[j] = 0;
for (i = 0; i < n; i++)
{
big = 0.0;
for (j = 0; j < n; j++)
if (ipiv[j] != 1)
for (k = 0; k < n; k++)
{
if (ipiv[k] == 0)
{
if (fabs(a[j * n + k]) >= big)
{
big = fabs(a[j * n + k]);
irow = j;
icol = k;
}
}
else if (ipiv[k] > 1)
{
cout << "gaussj: Singular Matrix-1" << endl;
for (int ii = 0; ii < n; ii++)
{
for (int jj = 0; jj < n; jj++)
cout << a[ii * n + jj] << " ";
cout << endl;
}
return 1; // error return
}
}
ipiv[icol] = ipiv[icol] + 1;
if (irow != icol)
{
for (l = 0; l < n; l++)
{
swap = a[irow * n + l];
a[irow * n + l] = a[icol * n + l];
a[icol * n + l] = swap;
}
swap = b[irow];
b[irow] = b[icol];
b[icol] = swap;
}
indxr[i] = irow;
indxc[i] = icol;
if (a[icol * n + icol] == 0.0)
{
cout << "gaussj: Singular Matrix-2" << endl;
for (int ii = 0; ii < n; ii++)
{
for (int jj = 0; jj < n; jj++)
cout << a[ii * n + jj] << " ";
cout << endl;
}
return 1; // error return
}
pivinv = 1.0 / a[icol * n + icol];
a[icol * n + icol] = 1.0;
for (l = 0; l < n; l++)
a[icol * n + l] *= pivinv;
b[icol] *= pivinv;
for (ll = 0; ll < n; ll++)
if (ll != icol)
{
dum = a[ll * n + icol];
a[ll * n + icol] = 0.0;
for (l = 0; l < n; l++)
a[ll * n + l] -= a[icol * n + l] * dum;
b[ll] -= b[icol] * dum;
}
} }
// Step 1: Solve linear system A*x = b using LU decomposition for (l = n - 1; l >= 0; l--)
// LAPACKE_dgesv uses column-major by default, but we use row-major {
info = LAPACKE_dgesv(LAPACK_ROW_MAJOR, n, 1, a_copy, n, ipiv, b, 1); if (indxr[l] != indxc[l])
for (k = 0; k < n; k++)
if (info != 0) { {
cout << "gaussj: Singular Matrix (dgesv info=" << info << ")" << endl; swap = a[k * n + indxr[l]];
delete[] ipiv; a[k * n + indxr[l]] = a[k * n + indxc[l]];
delete[] a_copy; a[k * n + indxc[l]] = swap;
return 1; }
}
// Step 2: Compute matrix inverse A^(-1) using LU factorization
// First do LU factorization of original matrix a
info = LAPACKE_dgetrf(LAPACK_ROW_MAJOR, n, n, a, n, ipiv);
if (info != 0) {
cout << "gaussj: Singular Matrix (dgetrf info=" << info << ")" << endl;
delete[] ipiv;
delete[] a_copy;
return 1;
}
// Then compute inverse from LU factorization
info = LAPACKE_dgetri(LAPACK_ROW_MAJOR, n, a, n, ipiv);
if (info != 0) {
cout << "gaussj: Singular Matrix (dgetri info=" << info << ")" << endl;
delete[] ipiv;
delete[] a_copy;
return 1;
} }
delete[] indxc;
delete[] indxr;
delete[] ipiv; delete[] ipiv;
delete[] a_copy;
return 0; return 0;
} }

View File

@@ -512,10 +512,11 @@
IMPLICIT DOUBLE PRECISION (A-H,O-Z) IMPLICIT DOUBLE PRECISION (A-H,O-Z)
DIMENSION V(N),W(N) DIMENSION V(N),W(N)
! SUBROUTINE TO COMPUTE DOUBLE PRECISION VECTOR DOT PRODUCT. ! SUBROUTINE TO COMPUTE DOUBLE PRECISION VECTOR DOT PRODUCT.
! Optimized using Intel oneMKL BLAS ddot
! Mathematical equivalence: DGVV = sum_{i=1}^{N} V(i)*W(i)
DOUBLE PRECISION, EXTERNAL :: DDOT SUM = 0.0D0
DGVV = DDOT(N, V, 1, W, 1) DO 10 I = 1,N
SUM = SUM + V(I)*W(I)
10 CONTINUE
DGVV = SUM
RETURN RETURN
END END

View File

@@ -65,8 +65,6 @@ real*8,intent(in) :: eps
! dx^4 ! dx^4
! note the sign (-1)^r-1, now r=2 ! note the sign (-1)^r-1, now r=2
!DIR$ SIMD VECTORLENGTHFOR(KNOWN_INTEGER=8)
!DIR$ UNROLL PARTIAL(4)
do k=1,ex(3) do k=1,ex(3)
do j=1,ex(2) do j=1,ex(2)
do i=1,ex(1) do i=1,ex(1)

View File

@@ -487,201 +487,6 @@ subroutine lopsided(ex,X,Y,Z,f,f_rhs,Sfx,Sfy,Sfz,Symmetry,SoA)
end subroutine lopsided end subroutine lopsided
!-----------------------------------------------------------------------------
! Combined advection (lopsided) + Kreiss-Oliger dissipation (kodis)
! Shares the symmetry_bd buffer fh, eliminating one full-grid copy per call.
! Mathematically identical to calling lopsided then kodis separately.
!-----------------------------------------------------------------------------
subroutine lopsided_kodis(ex,X,Y,Z,f,f_rhs,Sfx,Sfy,Sfz,Symmetry,SoA,eps)
implicit none
!~~~~~~> Input parameters:
integer, intent(in) :: ex(1:3),Symmetry
real*8, intent(in) :: X(1:ex(1)),Y(1:ex(2)),Z(1:ex(3))
real*8,dimension(ex(1),ex(2),ex(3)),intent(in) :: f,Sfx,Sfy,Sfz
real*8,dimension(ex(1),ex(2),ex(3)),intent(inout):: f_rhs
real*8,dimension(3),intent(in) ::SoA
real*8,intent(in) :: eps
!~~~~~~> local variables:
! note index -2,-1,0, so we have 3 extra points
real*8,dimension(-2:ex(1),-2:ex(2),-2:ex(3)) :: fh
integer :: imin,jmin,kmin,imax,jmax,kmax,i,j,k
real*8 :: dX,dY,dZ
real*8 :: d12dx,d12dy,d12dz,d2dx,d2dy,d2dz
real*8, parameter :: ZEO=0.d0,ONE=1.d0, F3=3.d0
real*8, parameter :: TWO=2.d0,F6=6.0d0,F18=1.8d1
real*8, parameter :: F12=1.2d1, F10=1.d1,EIT=8.d0
integer, parameter :: NO_SYMM = 0, EQ_SYMM = 1, OCTANT = 2
! kodis parameters
real*8, parameter :: SIX=6.d0,FIT=1.5d1,TWT=2.d1
real*8, parameter :: cof=6.4d1 ! 2^6
dX = X(2)-X(1)
dY = Y(2)-Y(1)
dZ = Z(2)-Z(1)
d12dx = ONE/F12/dX
d12dy = ONE/F12/dY
d12dz = ONE/F12/dZ
d2dx = ONE/TWO/dX
d2dy = ONE/TWO/dY
d2dz = ONE/TWO/dZ
imax = ex(1)
jmax = ex(2)
kmax = ex(3)
imin = 1
jmin = 1
kmin = 1
if(Symmetry > NO_SYMM .and. dabs(Z(1)) < dZ) kmin = -2
if(Symmetry > EQ_SYMM .and. dabs(X(1)) < dX) imin = -2
if(Symmetry > EQ_SYMM .and. dabs(Y(1)) < dY) jmin = -2
! Single symmetry_bd call shared by both advection and dissipation
call symmetry_bd(3,ex,f,fh,SoA)
! ---- Advection (lopsided) loop ----
! upper bound set ex-1 only for efficiency,
! the loop body will set ex 0 also
do k=1,ex(3)-1
do j=1,ex(2)-1
do i=1,ex(1)-1
! x direction
if(Sfx(i,j,k) > ZEO)then
if(i+3 <= imax)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfx(i,j,k)*d12dx*(-F3*fh(i-1,j,k)-F10*fh(i,j,k)+F18*fh(i+1,j,k) &
-F6*fh(i+2,j,k)+ fh(i+3,j,k))
elseif(i+2 <= imax)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfx(i,j,k)*d12dx*(fh(i-2,j,k)-EIT*fh(i-1,j,k)+EIT*fh(i+1,j,k)-fh(i+2,j,k))
elseif(i+1 <= imax)then
f_rhs(i,j,k)=f_rhs(i,j,k)- &
Sfx(i,j,k)*d12dx*(-F3*fh(i+1,j,k)-F10*fh(i,j,k)+F18*fh(i-1,j,k) &
-F6*fh(i-2,j,k)+ fh(i-3,j,k))
endif
elseif(Sfx(i,j,k) < ZEO)then
if(i-3 >= imin)then
f_rhs(i,j,k)=f_rhs(i,j,k)- &
Sfx(i,j,k)*d12dx*(-F3*fh(i+1,j,k)-F10*fh(i,j,k)+F18*fh(i-1,j,k) &
-F6*fh(i-2,j,k)+ fh(i-3,j,k))
elseif(i-2 >= imin)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfx(i,j,k)*d12dx*(fh(i-2,j,k)-EIT*fh(i-1,j,k)+EIT*fh(i+1,j,k)-fh(i+2,j,k))
elseif(i-1 >= imin)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfx(i,j,k)*d12dx*(-F3*fh(i-1,j,k)-F10*fh(i,j,k)+F18*fh(i+1,j,k) &
-F6*fh(i+2,j,k)+ fh(i+3,j,k))
endif
endif
! y direction
if(Sfy(i,j,k) > ZEO)then
if(j+3 <= jmax)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfy(i,j,k)*d12dy*(-F3*fh(i,j-1,k)-F10*fh(i,j,k)+F18*fh(i,j+1,k) &
-F6*fh(i,j+2,k)+ fh(i,j+3,k))
elseif(j+2 <= jmax)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfy(i,j,k)*d12dy*(fh(i,j-2,k)-EIT*fh(i,j-1,k)+EIT*fh(i,j+1,k)-fh(i,j+2,k))
elseif(j+1 <= jmax)then
f_rhs(i,j,k)=f_rhs(i,j,k)- &
Sfy(i,j,k)*d12dy*(-F3*fh(i,j+1,k)-F10*fh(i,j,k)+F18*fh(i,j-1,k) &
-F6*fh(i,j-2,k)+ fh(i,j-3,k))
endif
elseif(Sfy(i,j,k) < ZEO)then
if(j-3 >= jmin)then
f_rhs(i,j,k)=f_rhs(i,j,k)- &
Sfy(i,j,k)*d12dy*(-F3*fh(i,j+1,k)-F10*fh(i,j,k)+F18*fh(i,j-1,k) &
-F6*fh(i,j-2,k)+ fh(i,j-3,k))
elseif(j-2 >= jmin)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfy(i,j,k)*d12dy*(fh(i,j-2,k)-EIT*fh(i,j-1,k)+EIT*fh(i,j+1,k)-fh(i,j+2,k))
elseif(j-1 >= jmin)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfy(i,j,k)*d12dy*(-F3*fh(i,j-1,k)-F10*fh(i,j,k)+F18*fh(i,j+1,k) &
-F6*fh(i,j+2,k)+ fh(i,j+3,k))
endif
endif
! z direction
if(Sfz(i,j,k) > ZEO)then
if(k+3 <= kmax)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfz(i,j,k)*d12dz*(-F3*fh(i,j,k-1)-F10*fh(i,j,k)+F18*fh(i,j,k+1) &
-F6*fh(i,j,k+2)+ fh(i,j,k+3))
elseif(k+2 <= kmax)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfz(i,j,k)*d12dz*(fh(i,j,k-2)-EIT*fh(i,j,k-1)+EIT*fh(i,j,k+1)-fh(i,j,k+2))
elseif(k+1 <= kmax)then
f_rhs(i,j,k)=f_rhs(i,j,k)- &
Sfz(i,j,k)*d12dz*(-F3*fh(i,j,k+1)-F10*fh(i,j,k)+F18*fh(i,j,k-1) &
-F6*fh(i,j,k-2)+ fh(i,j,k-3))
endif
elseif(Sfz(i,j,k) < ZEO)then
if(k-3 >= kmin)then
f_rhs(i,j,k)=f_rhs(i,j,k)- &
Sfz(i,j,k)*d12dz*(-F3*fh(i,j,k+1)-F10*fh(i,j,k)+F18*fh(i,j,k-1) &
-F6*fh(i,j,k-2)+ fh(i,j,k-3))
elseif(k-2 >= kmin)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfz(i,j,k)*d12dz*(fh(i,j,k-2)-EIT*fh(i,j,k-1)+EIT*fh(i,j,k+1)-fh(i,j,k+2))
elseif(k-1 >= kmin)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfz(i,j,k)*d12dz*(-F3*fh(i,j,k-1)-F10*fh(i,j,k)+F18*fh(i,j,k+1) &
-F6*fh(i,j,k+2)+ fh(i,j,k+3))
endif
endif
enddo
enddo
enddo
! ---- Dissipation (kodis) loop ----
if(eps > ZEO) then
do k=1,ex(3)
do j=1,ex(2)
do i=1,ex(1)
if(i-3 >= imin .and. i+3 <= imax .and. &
j-3 >= jmin .and. j+3 <= jmax .and. &
k-3 >= kmin .and. k+3 <= kmax) then
f_rhs(i,j,k) = f_rhs(i,j,k) + eps/cof *( ( &
(fh(i-3,j,k)+fh(i+3,j,k)) - &
SIX*(fh(i-2,j,k)+fh(i+2,j,k)) + &
FIT*(fh(i-1,j,k)+fh(i+1,j,k)) - &
TWT* fh(i,j,k) )/dX + &
( &
(fh(i,j-3,k)+fh(i,j+3,k)) - &
SIX*(fh(i,j-2,k)+fh(i,j+2,k)) + &
FIT*(fh(i,j-1,k)+fh(i,j+1,k)) - &
TWT* fh(i,j,k) )/dY + &
( &
(fh(i,j,k-3)+fh(i,j,k+3)) - &
SIX*(fh(i,j,k-2)+fh(i,j,k+2)) + &
FIT*(fh(i,j,k-1)+fh(i,j,k+1)) - &
TWT* fh(i,j,k) )/dZ )
endif
enddo
enddo
enddo
endif
return
end subroutine lopsided_kodis
#elif (ghost_width == 4) #elif (ghost_width == 4)
! sixth order code ! sixth order code
! Compute advection terms in right hand sides of field equations ! Compute advection terms in right hand sides of field equations

View File

@@ -2,7 +2,7 @@
#ifndef MICRODEF_H #ifndef MICRODEF_H
#define MICRODEF_H #define MICRODEF_H
#include "macrodef.fh" #include "microdef.fh"
// application parameters // application parameters

View File

@@ -16,12 +16,6 @@ include makefile.inc
.cu.o: .cu.o:
$(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH) $(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH)
TwoPunctures.o: TwoPunctures.C
${CXX} $(CXXAPPFLAGS) -qopenmp -c $< -o $@
TwoPunctureABE.o: TwoPunctureABE.C
${CXX} $(CXXAPPFLAGS) -qopenmp -c $< -o $@
# Input files # Input files
C++FILES = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o\ C++FILES = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o\
cgh.o bssn_class.o surface_integral.o ShellPatch.o\ cgh.o bssn_class.o surface_integral.o ShellPatch.o\
@@ -102,7 +96,7 @@ ABEGPU: $(C++FILES_GPU) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES)
$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES_GPU) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES) $(LDLIBS) $(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES_GPU) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES) $(LDLIBS)
TwoPunctureABE: $(TwoPunctureFILES) TwoPunctureABE: $(TwoPunctureFILES)
$(CLINKER) $(CXXAPPFLAGS) -qopenmp -o $@ $(TwoPunctureFILES) $(LDLIBS) $(CLINKER) $(CXXAPPFLAGS) -o $@ $(TwoPunctureFILES) $(LDLIBS)
clean: clean:
rm *.o ABE ABEGPU TwoPunctureABE make.log -f rm *.o ABE ABEGPU TwoPunctureABE make.log -f

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@@ -10,16 +10,16 @@ filein = -I/usr/include/ -I${MKLROOT}/include
## Added -lifcore for Intel Fortran runtime and -limf for Intel math library ## Added -lifcore for Intel Fortran runtime and -limf for Intel math library
LDLIBS = -L${MKLROOT}/lib -lmkl_intel_lp64 -lmkl_sequential -lmkl_core -lifcore -limf -lpthread -lm -ldl LDLIBS = -L${MKLROOT}/lib -lmkl_intel_lp64 -lmkl_sequential -lmkl_core -lifcore -limf -lpthread -lm -ldl
## Aggressive optimization flags + PGO Phase 2 (profile-guided optimization) ## Aggressive optimization flags:
## -fprofile-instr-use: use collected profile data to guide optimization decisions ## -O3: Maximum optimization
## (branch prediction, basic block layout, inlining, loop unrolling) ## -xHost: Optimize for the host CPU architecture (Intel/AMD compatible)
PROFDATA = ../../pgo_profile/default.profdata ## -fp-model fast=2: Aggressive floating-point optimizations
CXXAPPFLAGS = -O3 -xHost -fp-model fast=2 -fma -ipo \ ## -fma: Enable fused multiply-add instructions
-fprofile-instr-use=$(PROFDATA) \ ## Note: OpenMP has been disabled (-qopenmp removed) due to performance issues
CXXAPPFLAGS = -O3 -xHost -fp-model fast=2 -fma \
-Dfortran3 -Dnewc -I${MKLROOT}/include -Dfortran3 -Dnewc -I${MKLROOT}/include
f90appflags = -O3 -xHost -fp-model fast=2 -fma -ipo \ f90appflags = -O3 -xHost -fp-model fast=2 -fma \
-fprofile-instr-use=$(PROFDATA) \ -fpp -I${MKLROOT}/include
-align array64byte -fpp -I${MKLROOT}/include
f90 = ifx f90 = ifx
f77 = ifx f77 = ifx
CXX = icpx CXX = icpx
@@ -30,3 +30,4 @@ Cu = nvcc
CUDA_LIB_PATH = -L/usr/lib/cuda/lib64 -I/usr/include -I/usr/lib/cuda/include CUDA_LIB_PATH = -L/usr/lib/cuda/lib64 -I/usr/include -I/usr/lib/cuda/include
#CUDA_APP_FLAGS = -c -g -O3 --ptxas-options=-v -arch compute_13 -code compute_13,sm_13 -Dfortran3 -Dnewc #CUDA_APP_FLAGS = -c -g -O3 --ptxas-options=-v -arch compute_13 -code compute_13,sm_13 -Dfortran3 -Dnewc
CUDA_APP_FLAGS = -c -g -O3 --ptxas-options=-v -Dfortran3 -Dnewc CUDA_APP_FLAGS = -c -g -O3 --ptxas-options=-v -Dfortran3 -Dnewc

File diff suppressed because it is too large Load Diff

View File

@@ -10,18 +10,6 @@
import AMSS_NCKU_Input as input_data import AMSS_NCKU_Input as input_data
import subprocess import subprocess
import time
## CPU core binding configuration using taskset
## taskset ensures all child processes inherit the CPU affinity mask
## This forces make and all compiler processes to use only nohz_full cores (4-55, 60-111)
## Format: taskset -c 4-55,60-111 ensures processes only run on these cores
#NUMACTL_CPU_BIND = "taskset -c 0-111"
NUMACTL_CPU_BIND = "taskset -c 16-47,64-95"
## Build parallelism configuration
## Use nohz_full cores (4-55, 60-111) for compilation: 52 + 52 = 104 cores
## Set make -j to utilize available cores for faster builds
BUILD_JOBS = 96
################################################################## ##################################################################
@@ -38,11 +26,11 @@ def makefile_ABE():
print( " Compiling the AMSS-NCKU executable file ABE/ABEGPU " ) print( " Compiling the AMSS-NCKU executable file ABE/ABEGPU " )
print( ) print( )
## Build command with CPU binding to nohz_full cores ## Build command
if (input_data.GPU_Calculation == "no"): if (input_data.GPU_Calculation == "no"):
makefile_command = f"{NUMACTL_CPU_BIND} make -j{BUILD_JOBS} ABE" makefile_command = "make -j4" + " ABE"
elif (input_data.GPU_Calculation == "yes"): elif (input_data.GPU_Calculation == "yes"):
makefile_command = f"{NUMACTL_CPU_BIND} make -j{BUILD_JOBS} ABEGPU" makefile_command = "make -j4" + " ABEGPU"
else: else:
print( " CPU/GPU numerical calculation setting is wrong " ) print( " CPU/GPU numerical calculation setting is wrong " )
print( ) print( )
@@ -79,8 +67,8 @@ def makefile_TwoPunctureABE():
print( " Compiling the AMSS-NCKU executable file TwoPunctureABE " ) print( " Compiling the AMSS-NCKU executable file TwoPunctureABE " )
print( ) print( )
## Build command with CPU binding to nohz_full cores ## Build command
makefile_command = f"{NUMACTL_CPU_BIND} make -j{BUILD_JOBS} TwoPunctureABE" makefile_command = "make" + " TwoPunctureABE"
## Execute the command with subprocess.Popen and stream output ## Execute the command with subprocess.Popen and stream output
makefile_process = subprocess.Popen(makefile_command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True) makefile_process = subprocess.Popen(makefile_command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True)
@@ -117,11 +105,10 @@ def run_ABE():
## Define the command to run; cast other values to strings as needed ## Define the command to run; cast other values to strings as needed
if (input_data.GPU_Calculation == "no"): if (input_data.GPU_Calculation == "no"):
mpi_command = NUMACTL_CPU_BIND + " mpirun -np " + str(input_data.MPI_processes) + " ./ABE" mpi_command = "mpirun -np " + str(input_data.MPI_processes) + " ./ABE"
#mpi_command = " mpirun -np " + str(input_data.MPI_processes) + " ./ABE"
mpi_command_outfile = "ABE_out.log" mpi_command_outfile = "ABE_out.log"
elif (input_data.GPU_Calculation == "yes"): elif (input_data.GPU_Calculation == "yes"):
mpi_command = NUMACTL_CPU_BIND + " mpirun -np " + str(input_data.MPI_processes) + " ./ABEGPU" mpi_command = "mpirun -np " + str(input_data.MPI_processes) + " ./ABEGPU"
mpi_command_outfile = "ABEGPU_out.log" mpi_command_outfile = "ABEGPU_out.log"
## Execute the MPI command and stream output ## Execute the MPI command and stream output
@@ -154,14 +141,13 @@ def run_ABE():
## Run the AMSS-NCKU TwoPuncture program TwoPunctureABE ## Run the AMSS-NCKU TwoPuncture program TwoPunctureABE
def run_TwoPunctureABE(): def run_TwoPunctureABE():
tp_time1=time.time()
print( ) print( )
print( " Running the AMSS-NCKU executable file TwoPunctureABE " ) print( " Running the AMSS-NCKU executable file TwoPunctureABE " )
print( ) print( )
## Define the command to run ## Define the command to run
#TwoPuncture_command = NUMACTL_CPU_BIND + " ./TwoPunctureABE" TwoPuncture_command = "./TwoPunctureABE"
TwoPuncture_command = " ./TwoPunctureABE"
TwoPuncture_command_outfile = "TwoPunctureABE_out.log" TwoPuncture_command_outfile = "TwoPunctureABE_out.log"
## Execute the command with subprocess.Popen and stream output ## Execute the command with subprocess.Popen and stream output
@@ -182,9 +168,7 @@ def run_TwoPunctureABE():
print( ) print( )
print( " The TwoPunctureABE simulation is finished " ) print( " The TwoPunctureABE simulation is finished " )
print( ) print( )
tp_time2=time.time()
et=tp_time2-tp_time1
print(f"Used time: {et}")
return return
################################################################## ##################################################################

View File

@@ -1,29 +0,0 @@
import multiprocessing
def run_plot_task(task):
"""Execute a single plotting task.
Parameters
----------
task : tuple
A tuple of (function, args_tuple) where function is a callable
plotting function and args_tuple contains its arguments.
"""
func, args = task
return func(*args)
def run_plot_tasks_parallel(plot_tasks):
"""Execute a list of independent plotting tasks in parallel.
Uses the 'fork' context to create worker processes so that the main
script is NOT re-imported/re-executed in child processes.
Parameters
----------
plot_tasks : list of tuples
Each element is (function, args_tuple).
"""
ctx = multiprocessing.get_context('fork')
with ctx.Pool() as pool:
pool.map(run_plot_task, plot_tasks)

View File

@@ -1,97 +0,0 @@
# AMSS-NCKU PGO Profile Analysis Report
## 1. Profiling Environment
| Item | Value |
|------|-------|
| Compiler | Intel oneAPI DPC++/C++ 2025.3.0 (icpx/ifx) |
| Instrumentation Flag | `-fprofile-instr-generate` |
| Optimization Level (instrumented) | `-O2 -xHost -fma` |
| MPI Processes | 1 (single process to avoid MPI+instrumentation deadlock) |
| Profile File | `default_9725750769337483397_0.profraw` (327 KB) |
| Merged Profile | `default.profdata` (394 KB) |
| llvm-profdata | `/home/intel/oneapi/compiler/2025.3/bin/compiler/llvm-profdata` |
## 2. Reduced Simulation Parameters (for profiling run)
| Parameter | Production Value | Profiling Value |
|-----------|-----------------|-----------------|
| MPI_processes | 64 | 1 |
| grid_level | 9 | 4 |
| static_grid_level | 5 | 3 |
| static_grid_number | 96 | 24 |
| moving_grid_number | 48 | 16 |
| largest_box_xyz_max | 320^3 | 160^3 |
| Final_Evolution_Time | 1000.0 | 10.0 |
| Evolution_Step_Number | 10,000,000 | 1,000 |
| Detector_Number | 12 | 2 |
## 3. Profile Summary
| Metric | Value |
|--------|-------|
| Total instrumented functions | 1,392 |
| Functions with non-zero counts | 117 (8.4%) |
| Functions with zero counts | 1,275 (91.6%) |
| Maximum function entry count | 386,459,248 |
| Maximum internal block count | 370,477,680 |
| Total block count | 4,198,023,118 |
## 4. Top 20 Hotspot Functions
| Rank | Total Count | Max Block Count | Function | Category |
|------|------------|-----------------|----------|----------|
| 1 | 1,241,601,732 | 370,477,680 | `polint_` | Interpolation |
| 2 | 755,994,435 | 230,156,640 | `prolong3_` | Grid prolongation |
| 3 | 667,964,095 | 3,697,792 | `compute_rhs_bssn_` | BSSN RHS evolution |
| 4 | 539,736,051 | 386,459,248 | `symmetry_bd_` | Symmetry boundary |
| 5 | 277,310,808 | 53,170,728 | `lopsided_` | Lopsided FD stencil |
| 6 | 155,534,488 | 94,535,040 | `decide3d_` | 3D grid decision |
| 7 | 119,267,712 | 19,266,048 | `rungekutta4_rout_` | RK4 time integrator |
| 8 | 91,574,616 | 48,824,160 | `kodis_` | Kreiss-Oliger dissipation |
| 9 | 67,555,389 | 43,243,680 | `fderivs_` | Finite differences |
| 10 | 55,296,000 | 42,246,144 | `misc::fact(int)` | Factorial utility |
| 11 | 43,191,071 | 27,663,328 | `fdderivs_` | 2nd-order FD derivatives |
| 12 | 36,233,965 | 22,429,440 | `restrict3_` | Grid restriction |
| 13 | 24,698,512 | 17,231,520 | `polin3_` | Polynomial interpolation |
| 14 | 22,962,942 | 20,968,768 | `copy_` | Data copy |
| 15 | 20,135,696 | 17,259,168 | `Ansorg::barycentric(...)` | Spectral interpolation |
| 16 | 14,650,224 | 7,224,768 | `Ansorg::barycentric_omega(...)` | Spectral weights |
| 17 | 13,242,296 | 2,871,920 | `global_interp_` | Global interpolation |
| 18 | 12,672,000 | 7,734,528 | `sommerfeld_rout_` | Sommerfeld boundary |
| 19 | 6,872,832 | 1,880,064 | `sommerfeld_routbam_` | Sommerfeld boundary (BAM) |
| 20 | 5,709,900 | 2,809,632 | `l2normhelper_` | L2 norm computation |
## 5. Hotspot Category Breakdown
Top 20 functions account for ~98% of total execution counts:
| Category | Functions | Combined Count | Share |
|----------|-----------|---------------|-------|
| Interpolation / Prolongation / Restriction | polint_, prolong3_, restrict3_, polin3_, global_interp_, Ansorg::* | ~2,093M | ~50% |
| BSSN RHS + FD stencils | compute_rhs_bssn_, lopsided_, fderivs_, fdderivs_ | ~1,056M | ~25% |
| Boundary conditions | symmetry_bd_, sommerfeld_rout_, sommerfeld_routbam_ | ~559M | ~13% |
| Time integration | rungekutta4_rout_ | ~119M | ~3% |
| Dissipation | kodis_ | ~92M | ~2% |
| Utilities | misc::fact, decide3d_, copy_, l2normhelper_ | ~256M | ~6% |
## 6. Conclusions
1. **Profile data is valid**: 1,392 functions instrumented, 117 exercised with ~4.2 billion total counts.
2. **Hotspot concentration is high**: Top 5 functions alone account for ~76% of all counts, which is ideal for PGO — the compiler has strong branch/layout optimization targets.
3. **Fortran numerical kernels dominate**: `polint_`, `prolong3_`, `compute_rhs_bssn_`, `symmetry_bd_`, `lopsided_` are all Fortran routines in the inner evolution loop. PGO will optimize their branch prediction and basic block layout.
4. **91.6% of functions have zero counts**: These are code paths for unused features (GPU, BSSN-EScalar, BSSN-EM, Z4C, etc.). PGO will deprioritize them, improving instruction cache utilization.
5. **Profile is representative**: Despite the reduced grid size, the code path coverage matches production — the same kernels (RHS, prolongation, restriction, boundary) are exercised. PGO branch probabilities from this profile will transfer well to full-scale runs.
## 7. PGO Phase 2 Usage
To apply the profile, use the following flags in `makefile.inc`:
```makefile
CXXAPPFLAGS = -O3 -xHost -fp-model fast=2 -fma -ipo \
-fprofile-instr-use=/home/amss/AMSS-NCKU/pgo_profile/default.profdata \
-Dfortran3 -Dnewc -I${MKLROOT}/include
f90appflags = -O3 -xHost -fp-model fast=2 -fma -ipo \
-fprofile-instr-use=/home/amss/AMSS-NCKU/pgo_profile/default.profdata \
-align array64byte -fpp -I${MKLROOT}/include
```

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@@ -11,8 +11,6 @@
import numpy ## numpy for array operations import numpy ## numpy for array operations
import scipy ## scipy for interpolation and signal processing import scipy ## scipy for interpolation and signal processing
import math import math
import matplotlib
matplotlib.use('Agg') ## use non-interactive backend for multiprocessing safety
import matplotlib.pyplot as plt ## matplotlib for plotting import matplotlib.pyplot as plt ## matplotlib for plotting
import os ## os for system/file operations import os ## os for system/file operations

View File

@@ -8,23 +8,16 @@
## ##
################################################# #################################################
## Restrict OpenMP to one thread per process so that running
## many workers in parallel does not create an O(workers * BLAS_threads)
## thread explosion. The variable MUST be set before numpy/scipy
## are imported, because the BLAS library reads them only at load time.
import os
os.environ.setdefault("OMP_NUM_THREADS", "1")
import numpy import numpy
import scipy import scipy
import matplotlib
matplotlib.use('Agg') ## use non-interactive backend for multiprocessing safety
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm from matplotlib.colors import LogNorm
from mpl_toolkits.mplot3d import Axes3D from mpl_toolkits.mplot3d import Axes3D
## import torch ## import torch
import AMSS_NCKU_Input as input_data import AMSS_NCKU_Input as input_data
import os
######################################################################################### #########################################################################################
@@ -199,19 +192,3 @@ def get_data_xy( Rmin, Rmax, n, data0, time, figure_title, figure_outdir ):
#################################################################################### ####################################################################################
####################################################################################
## Allow this module to be run as a standalone script so that each
## binary-data plot can be executed in a fresh subprocess whose BLAS
## environment variables (set above) take effect before numpy loads.
##
## Usage: python3 plot_binary_data.py <filename> <binary_outdir> <figure_outdir>
####################################################################################
if __name__ == '__main__':
import sys
if len(sys.argv) != 4:
print(f"Usage: {sys.argv[0]} <filename> <binary_outdir> <figure_outdir>")
sys.exit(1)
plot_binary_data(sys.argv[1], sys.argv[2], sys.argv[3])

View File

@@ -8,8 +8,6 @@
################################################# #################################################
import numpy ## numpy for array operations import numpy ## numpy for array operations
import matplotlib
matplotlib.use('Agg') ## use non-interactive backend for multiprocessing safety
import matplotlib.pyplot as plt ## matplotlib for plotting import matplotlib.pyplot as plt ## matplotlib for plotting
from mpl_toolkits.mplot3d import Axes3D ## needed for 3D plots from mpl_toolkits.mplot3d import Axes3D ## needed for 3D plots
import glob import glob
@@ -17,9 +15,6 @@ import os ## operating system utilities
import plot_binary_data import plot_binary_data
import AMSS_NCKU_Input as input_data import AMSS_NCKU_Input as input_data
import subprocess
import sys
import multiprocessing
# plt.rcParams['text.usetex'] = True ## enable LaTeX fonts in plots # plt.rcParams['text.usetex'] = True ## enable LaTeX fonts in plots
@@ -55,40 +50,10 @@ def generate_binary_data_plot( binary_outdir, figure_outdir ):
file_list.append(x) file_list.append(x)
print(x) print(x)
## Plot each file in parallel using subprocesses. ## Plot each file in the list
## Each subprocess is a fresh Python process where the BLAS thread-count
## environment variables (set at the top of plot_binary_data.py) take
## effect before numpy is imported. This avoids the thread explosion
## that occurs when multiprocessing.Pool with 'fork' context inherits
## already-initialized multi-threaded BLAS from the parent.
script = os.path.join( os.path.dirname(__file__), "plot_binary_data.py" )
max_workers = min( multiprocessing.cpu_count(), len(file_list) ) if file_list else 0
running = []
failed = []
for filename in file_list: for filename in file_list:
print(filename) print(filename)
proc = subprocess.Popen( plot_binary_data.plot_binary_data(filename, binary_outdir, figure_outdir)
[sys.executable, script, filename, binary_outdir, figure_outdir],
)
running.append( (proc, filename) )
## Keep at most max_workers subprocesses active at a time
if len(running) >= max_workers:
p, fn = running.pop(0)
p.wait()
if p.returncode != 0:
failed.append(fn)
## Wait for all remaining subprocesses to finish
for p, fn in running:
p.wait()
if p.returncode != 0:
failed.append(fn)
if failed:
print( " WARNING: the following binary data plots failed:" )
for fn in failed:
print( " ", fn )
print( ) print( )
print( " Binary Data Plot Has been Finished " ) print( " Binary Data Plot Has been Finished " )