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diff --git a/Tools/performance_tests/run_alltests_1node.py b/Tools/performance_tests/run_alltests_1node.py
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+import os, sys, shutil
+import argparse, re, time
+from functions_perftest import *
+
+# This script runs automated performance tests for WarpX.
+# It runs tests in list test_list defined below, and write
+# results in file performance_log.txt in warpx/performance_tests/
+
+# ---- User's manual ----
+# Before running performance tests, make sure you have the latest version
+# of performance_log.txt
+
+# ---- Running a custom set of performance tests ----
+# > python run_alltests_1node.py --no-recompile --compiler=intel
+# > --architecture=knl --mode=run --input_file=uniform_plasma
+# > --n_node=1 --log_file='my_performance_log.txt'
+
+# ---- Running the pre-drefined automated tests ----
+# Compile and run:
+# > python run_alltests_1node.py --automated --recompile
+# Just run:
+# > python run_alltests_1node.py --automated
+
+# To add a new test item, extent the test_list with a line like
+# test_list.extend([['my_input_file', n_node, n_mpi, n_omp]]*n_repeat)
+# - my_input_file must be in warpx/performance_tests
+
+# ---- Developer's manual ----
+# This script can run in two modes:
+# - 'run' mode: for each test item, a batch job is executed.
+# create folder '$SCRATCH/performance_warpx/'
+# recompile the code if option --recompile is used
+# loop over test_list and submit one batch script per item
+# Submit a batch job that executes the script in read mode
+# This last job runs once all others are completed
+# - 'read' mode: Get performance data from all test items
+# create performance log file if does not exist
+# loop over test_file
+# read initialization time and step time
+# write data into the performance log file
+# push file performance_log.txt on the repo
+
+# Read command-line arguments
+# ---------------------------
+# Create parser and read arguments
+parser = argparse.ArgumentParser(
+ description='Run performance tests and write results in files')
+parser.add_argument('--recompile', dest='recompile', action='store_true', default=False)
+parser.add_argument('--no-recompile', dest='recompile', action='store_false', default=False)
+parser.add_argument('--commit', dest='commit', action='store_true', default=False)
+parser.add_argument( '--compiler', choices=['gnu', 'intel'], default='intel',
+ help='which compiler to use')
+parser.add_argument( '--architecture', choices=['cpu', 'knl'], default='knl',
+ help='which architecture to cross-compile for NERSC machines')
+parser.add_argument( '--mode', choices=['run', 'read'], default='run',
+ help='whether to run perftests or read their perf output. run calls read')
+parser.add_argument( '--log_file', dest = 'log_file', default='my_performance_log.txt',
+ help='name of log file where data will be written. ignored if option --commit is used')
+parser.add_argument('--n_node', dest='n_node', default=1, help='nomber of nodes for the runs')
+parser.add_argument('--input_file', dest='input_file', default='input_file.pixr',
+ type=str, help='input file to run')
+parser.add_argument('--automated', dest='automated', action='store_true', default=False,
+ help='Use to run the automated test list')
+
+args = parser.parse_args()
+log_file = args.log_file
+do_commit = args.commit
+run_name = args.input_file
+
+# list of tests to run and analyse.
+# Note: This is overwritten if is_automated
+# each element of test_list contains
+# [str input_file, int n_node, int n_mpi PER NODE, int n_omp]
+test_list = []
+n_repeat = 2
+filename1 = args.input_file
+test_list.extend([[filename1, 1, 128, 1]]*n_repeat)
+test_list.extend([[filename1, 1, 64, 2]]*n_repeat)
+# test_list.extend([[filename1, 1, 32, 4]]*n_repeat)
+# test_list.extend([[filename1, 1, 16, 8]]*n_repeat)
+# test_list.extend([[filename1, 1, 8, 16]]*n_repeat)
+# test_list.extend([[filename1, 1, 4, 32]]*n_repeat)
+# test_list.extend([[filename1, 1, 2, 64]]*n_repeat)
+# test_list.extend([[filename1, 1, 1, 128]]*n_repeat)
+
+# Nothing should be changed after this line
+# if flag --automated is used, test_list and do_commit are
+# overwritten
+
+if args.automated == True:
+ test_list = []
+ n_repeat = 4
+ test_list.extend([['automated_test_1_uniform_rest_32ppc', 1, 16, 8]]*n_repeat)
+ test_list.extend([['automated_test_2_uniform_rest_1ppc', 1, 16, 8]]*n_repeat)
+ test_list.extend([['automated_test_3_uniform_drift_4ppc', 1, 16, 8]]*n_repeat)
+ test_list.extend([['automated_test_4_labdiags_2ppc', 1, 16, 8]]*n_repeat)
+ test_list.extend([['automated_test_5_loadimbalance', 1, 16, 8]]*n_repeat)
+ test_list.extend([['automated_test_6_output_2ppc', 1, 16, 8]]*n_repeat)
+ do_commit = False
+ run_name = 'automated_tests'
+
+n_tests = len(test_list)
+if do_commit == True:
+ log_file = 'performance_log.txt'
+
+# Dictionaries
+# compiler names. Used for WarpX executable name
+compiler_name = {'intel': 'intel', 'gnu': 'gcc'}
+# architecture. Used for WarpX executable name
+module_name = {'cpu': 'haswell', 'knl': 'mic-knl'}
+# architecture. Used in batch scripts
+module_Cname = {'cpu': 'haswell', 'knl': 'knl,quad,cache'}
+# Define environment variables
+cwd = os.getcwd() + '/'
+res_dir_base = os.environ['SCRATCH'] + '/performance_warpx/'
+bin_dir = cwd + 'Bin/'
+bin_name = 'perf_tests3d.' + args.compiler + '.' + module_name[args.architecture] + '.TPROF.MPI.OMP.ex'
+log_dir = cwd
+
+day = time.strftime('%d')
+month = time.strftime('%m')
+year = time.strftime('%Y')
+n_node = int(args.n_node)
+
+# Initialize tests
+# ----------------
+if args.mode == 'run':
+# Set default options for compilation and execution
+ config_command = ''
+ config_command += 'module unload darshan;'
+ config_command += 'module load craype-hugepages4M;'
+ if args.architecture == 'knl':
+ if args.compiler == 'intel':
+ config_command += 'module unload PrgEnv-gnu;'
+ config_command += 'module load PrgEnv-intel;'
+ elif args.compiler == 'gnu':
+ config_command += 'module unload PrgEnv-intel;'
+ config_command += 'module load PrgEnv-gnu;'
+ config_command += 'module unload craype-haswell;'
+ config_command += 'module load craype-mic-knl;'
+ elif args.architecture == 'cpu':
+ if args.compiler == 'intel':
+ config_command += 'module unload PrgEnv-gnu;'
+ config_command += 'module load PrgEnv-intel;'
+ elif args.compiler == 'gnu':
+ config_command += 'module unload PrgEnv-intel;'
+ config_command += 'module load PrgEnv-gnu;'
+ config_command += 'module unload craype-mic-knl;'
+ config_command += 'module load craype-haswell;'
+ # Create main result directory if does not exist
+ if not os.path.exists(res_dir_base):
+ os.mkdir(res_dir_base)
+
+# Recompile if requested
+if args.recompile == True:
+ with open(cwd + 'GNUmakefile_perftest') as makefile_handler:
+ makefile_text = makefile_handler.read()
+ makefile_text = re.sub('\nCOMP.*', '\nCOMP=%s' %compiler_name[args.compiler], makefile_text)
+ with open(cwd + 'GNUmakefile_perftest', 'w') as makefile_handler:
+ makefile_handler.write( makefile_text )
+ os.system(config_command + " make -f GNUmakefile_perftest realclean ; " + " rm -r tmp_build_dir *.mod; make -j 8 -f GNUmakefile_perftest")
+
+# This function runs a batch script with dependencies to perform the analysis
+# when performance runs are done.
+def process_analysis():
+ dependencies = ''
+ f_log = open(cwd + 'log_jobids_tmp.txt','r')
+ line = f_log.readline()
+ print(line)
+ dependencies += line.split()[3] + ':'
+ batch_string = ''
+ batch_string += '#!/bin/bash\n'
+ batch_string += '#SBATCH --job-name=warpx_1node_read\n'
+ batch_string += '#SBATCH --time=00:05:00\n'
+ batch_string += '#SBATCH -C haswell\n'
+ batch_string += '#SBATCH -N 1\n'
+ batch_string += '#SBATCH -S 4\n'
+ batch_string += '#SBATCH -q regular\n'
+ batch_string += '#SBATCH -e read_error.txt\n'
+ batch_string += '#SBATCH -o read_output.txt\n'
+ batch_string += '#SBATCH --mail-type=end\n'
+ batch_string += '#SBATCH --account=m2852\n'
+ batch_string += 'python ' + __file__ + ' --no-recompile --compiler=' + \
+ args.compiler + ' --architecture=' + args.architecture + \
+ ' --mode=read' + ' --log_file=' + log_file + \
+ ' --input_file=' + args.input_file
+ if do_commit == True:
+ batch_string += ' --commit'
+ if args.automated == True:
+ batch_string += ' --automated'
+ batch_string += '\n'
+ batch_file = 'slurm_perfread'
+ f_exe = open(batch_file,'w')
+ f_exe.write(batch_string)
+ f_exe.close()
+ os.system('chmod 700 ' + batch_file)
+ os.system('sbatch --dependency afterok:' + dependencies[0:-1] + ' ' + batch_file)
+ return 0
+
+# Loop over the tests and return run time + details
+# -------------------------------------------------
+if args.mode == 'run':
+ # Remove file log_jobids_tmp.txt if exists.
+ # This file contains the jobid of every perf test
+ # It is used to manage the analysis script dependencies
+ if os.path.isfile(cwd + 'log_jobids_tmp.txt'):
+ os.remove(cwd + 'log_jobids_tmp.txt')
+ res_dir = res_dir_base
+ res_dir += '_'.join([run_name, args.compiler,\
+ args.architecture, str(n_node)]) + '/'
+ # Run the simulation.
+ run_batch_nnode(test_list, res_dir, bin_name, config_command,\
+ architecture=args.architecture, Cname=module_Cname[args.architecture], \
+ n_node=n_node)
+ os.chdir(cwd)
+ process_analysis()
+
+if args.mode == 'read':
+ # Create log_file for performance tests if does not exist
+ if not os.path.isfile(log_dir + log_file):
+ log_line = '## year month day input_file compiler architecture n_node n_mpi ' +\
+ 'n_omp time_initialization time_one_iteration Redistribute '+\
+ 'FillBoundary ParallelCopy CurrentDeposition FieldGather '+\
+ 'ParthiclePush Copy EvolveEM Checkpoint '+\
+ 'WriteParticles Write_FabArray '+\
+ 'WriteMultiLevelPlotfile(unit: second) '+\
+ 'RedistributeMPI\n'
+ f_log = open(log_dir + log_file, 'a')
+ f_log.write(log_line)
+ f_log.close()
+ for count, current_run in enumerate(test_list):
+ # Results folder
+ print('read ' + str(current_run))
+ input_file = current_run[0]
+ # Do not read n_node = current_run[1], it is an external parameter
+ n_mpi = current_run[2]
+ n_omp = current_run[3]
+ n_steps = get_nsteps(cwd + input_file)
+ print('n_steps = ' + str(n_steps))
+ res_dir = res_dir_base
+ res_dir += '_'.join([run_name, args.compiler,\
+ args.architecture, str(n_node)]) + '/'
+ # Read performance data from the output file
+ output_filename = 'out_' + '_'.join([input_file, str(n_node), str(n_mpi), str(n_omp), str(count)]) + '.txt'
+ timing_list = read_run_perf(res_dir + output_filename, n_steps)
+ # Write performance data to the performance log file
+ log_line = ' '.join([year, month, day, input_file, args.compiler,\
+ args.architecture, str(n_node), str(n_mpi),\
+ str(n_omp)] + timing_list + ['\n'])
+ write_perf_logfile(log_dir + log_file, log_line)
+
+ # Store test parameters fot record
+ dir_record_base = './perf_warpx_record/'
+ if not os.path.exists(dir_record_base):
+ os.mkdir(dir_record_base)
+ count = 0
+ dir_record = dir_record_base + '_'.join([year, month, day]) + '_0'
+ while os.path.exists(dir_record):
+ count += 1
+ dir_record = dir_record[:-1] + str(count)
+ os.mkdir(dir_record)
+ shutil.copy(__file__, dir_record)
+ shutil.copy(log_dir + log_file, dir_record)
+ for count, current_run in enumerate(test_list):
+ shutil.copy(current_run[0], dir_record)
+
+ # Rename directory with precise date for archive purpose
+ res_dir_arch = res_dir_base
+ res_dir_arch += '_'.join([year, month, day, run_name, args.compiler,\
+ args.architecture, str(n_node)]) + '/'
+ os.rename(res_dir, res_dir_arch)
+
+ # Commit results to the Repo
+ if do_commit == True:
+ os.system('git add ' + log_dir + log_file + ';'\
+ 'git commit -m "performance tests";'\
+ 'git push -u origin master')
+
+ # Plot file
+ import numpy as np
+ import matplotlib
+ matplotlib.use('Agg')
+ import matplotlib.pyplot as plt
+ filename0 = 'performance_log'
+ filename = filename0 + '.txt'
+ fontsize = 14
+ matplotlib.rcParams.update({'font.size': fontsize})
+ nsteps = 100.
+ nrepeat = 4
+ legends = [ 'n_node', 'n_mpi', 'n_omp', 'time_initialization', 'time_one_iteration', \
+ 'Redistribute', 'FillBoundary', 'ParallelCopy', 'CurrentDeposition', \
+ 'FieldGather', 'ParthiclePush', 'Copy', 'EvolveEM', 'Checkpoint', \
+ 'WriteParticles', 'Write_FabArray', 'WriteMultiLevelPlotfile', \
+ 'RedistributeMPI']
+ date = np.loadtxt( filename, usecols = np.arange(0, 3 ))
+ data = np.loadtxt( filename, usecols = np.arange(6, 6+len(legends)) )
+ # Read run name
+ with open(filename) as f:
+ namelist_tmp = zip(*[line.split() for line in f])[3]
+ # Remove first line = comments
+ namelist = list(namelist_tmp[1:])
+ selector_list = ['automated_test_1_uniform_rest_32ppc',\
+ 'automated_test_2_uniform_rest_1ppc',\
+ 'automated_test_3_uniform_drift_4ppc',\
+ 'automated_test_4_labdiags_2ppc',\
+ 'automated_test_5_loadimbalance',\
+ 'automated_test_6_output_2ppc']
+ selector_string = selector_list[0]
+ selector = [idx for idx in range(len(namelist)) if selector_string in namelist[idx]]
+ lin_date = date[:,0]+date[:,1]/12.+date[:,2]/366.
+ unique_lin_date = np.unique(lin_date)
+ my_xticks = unique_lin_date
+# cmap = plt.get_cmap("tab20")
+ cycle = plt.rcParams['axes.prop_cycle'].by_key()['color']
+ for selector_string in selector_list:
+ selector = [idx for idx in range(len(namelist)) if selector_string in namelist[idx]]
+ plt.figure(num=0, figsize=(8,4))
+ plt.clf()
+ plt.title('warpx ' + selector_string)
+ for i in np.arange(data.shape[1]):
+ icolors = i-3
+ if i>3 and (data[selector,i] > 5./100*data[selector,4]).any():
+ plt.plot(lin_date[selector], data[selector,i],'+', ms=6, \
+ mew=2, label=legends[i] )
+ # plt.plot(lin_date[selector], data[selector,i],'+', ms=6, \
+ # mew=2, label=legends[i], color=cmap(i) )
+ plt.xlabel('date')
+ plt.ylabel('time/step (s)')
+ plt.grid()
+ plt.legend(loc='best')
+ plt.legend(bbox_to_anchor=(1.1, 1.05))
+ plt.savefig( selector_string + '.pdf', bbox_inches='tight')
+ plt.savefig( selector_string + '.png', bbox_inches='tight')
generated by cgit v1.2.3 (git 2.46.0) at 2025-08-11 15:59:24 +0000