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authorGravatar Maxence Thevenet <mthevenet@lbl.gov> 2019-09-12 09:54:38 -0400
committerGravatar Maxence Thevenet <mthevenet@lbl.gov> 2019-09-12 09:54:38 -0400
commitb8d56b2f8f04f0210b2ec1404b2cc815f06c1324 (patch)
treea709ea2309d53d9d1e8b166c6ca91b5719b5e15d /Tools/performance_tests/functions_perftest.py
parent1e3b0b68a27c653ede0f1b06cf7765e6e7ce6824 (diff)
parent0bda5edfefde5773f5a773dcc8991649d33cc360 (diff)
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merge conflicts with dev
Diffstat (limited to 'Tools/performance_tests/functions_perftest.py')
-rw-r--r--Tools/performance_tests/functions_perftest.py26
1 files changed, 13 insertions, 13 deletions
diff --git a/Tools/performance_tests/functions_perftest.py b/Tools/performance_tests/functions_perftest.py
index f3f3748a9..67622317a 100644
--- a/Tools/performance_tests/functions_perftest.py
+++ b/Tools/performance_tests/functions_perftest.py
@@ -172,14 +172,14 @@ def get_nsteps(run_name):
return nsteps
def extract_dataframe(filename, n_steps):
- # Get init time and total time through Inclusive time
+ # Get init time and total time through Inclusive time
partition_limit_start = 'NCalls Incl. Min Incl. Avg Incl. Max Max %'
with open(filename) as file_handler:
output_text = file_handler.read()
- # get total simulation time
+ # get total simulation time
line_match_totaltime = re.search('TinyProfiler total time across processes.*', output_text)
total_time = float(line_match_totaltime.group(0).split()[8])
- # get time performing steps as Inclusive WarpX::Evolve() time
+ # get time performing steps as Inclusive WarpX::Evolve() time
search_area = output_text.partition(partition_limit_start)[2]
line_match_looptime = re.search('\nWarpX::Evolve().*', search_area)
time_wo_initialization = float(line_match_looptime.group(0).split()[3])
@@ -189,14 +189,14 @@ def extract_dataframe(filename, n_steps):
time_WritePlotFile = float(line_match_WritePlotFile.group(0).split()[3])
else:
time_WritePlotFile = 0.
- # Get timers for all routines
- # Where to start and stop in the output_file
+ # Get timers for all routines
+ # Where to start and stop in the output_file
partition_limit_start = 'NCalls Excl. Min Excl. Avg Excl. Max Max %'
partition_limit_end = 'NCalls Incl. Min Incl. Avg Incl. Max Max %'
- # Put file content in a string
+ # Put file content in a string
with open(filename) as file_handler:
output_text = file_handler.read()
- # Keep only profiling data
+ # Keep only profiling data
search_area = output_text.partition(partition_limit_start)[2]\
.partition(partition_limit_end)[0]
list_string = search_area.split('\n')[2:-4]
@@ -213,26 +213,26 @@ def extract_dataframe(filename, n_steps):
# df['string_output'] = partition_limit_start + '\n' + search_area
return df
-# Run a performance test in an interactive allocation
+# Run a performance test in an interactive allocation
# def run_interactive(run_name, res_dir, n_node=1, n_mpi=1, n_omp=1):
-# # Clean res_dir #
+# # Clean res_dir #
# if os.path.exists(res_dir):
# shutil.rmtree(res_dir)
# os.makedirs(res_dir)
-# # Copy files to res_dir #
+# # Copy files to res_dir #
# shutil.copyfile(bin_dir + bin_name, res_dir + bin_name)
# shutil.copyfile(cwd + run_name, res_dir + 'inputs')
# os.chdir(res_dir)
# if args.architecture == 'cpu':
-# cflag_value = max(1, int(32/n_mpi) * 2) # Follow NERSC directives #
+# cflag_value = max(1, int(32/n_mpi) * 2) # Follow NERSC directives #
# exec_command = 'export OMP_NUM_THREADS=' + str(n_omp) + ';' +\
# 'srun --cpu_bind=cores ' + \
# ' -n ' + str(n_node*n_mpi) + \
# ' -c ' + str(cflag_value) + \
# ' ./' + bin_name + ' inputs > perf_output.txt'
# elif args.architecture == 'knl':
-# # number of logical cores per MPI process #
-# cflag_value = max(1,int(68/n_mpi) * 4) # Follow NERSC directives #
+# # number of logical cores per MPI process #
+# cflag_value = max(1,int(68/n_mpi) * 4) # Follow NERSC directives #
# exec_command = 'export OMP_NUM_THREADS=' + str(n_omp) + ';' +\
# 'srun --cpu_bind=cores ' + \
# ' -n ' + str(n_node*n_mpi) + \