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slurm_without_podman.py
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slurm_without_podman.py
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# basic requirements:
# - the cache size should be scaled per core
# - make sure we are running all traces
import yaml
import os
import random
from argparse import ArgumentParser
import itertools
import random
parser = ArgumentParser()
# -wd working_directory -od output_directory -td trace_directory
parser.add_argument('-wd', '--working_directory', type=str, required=True,
help='The directory where the ramulator executable is located')
parser.add_argument('-od', '--output_directory', type=str, required=True,
help='The directory where the output files will be stored')
parser.add_argument('-td', '--trace_directory', type=str,
required=True, help='The directory where the traces are located')
args = parser.parse_args()
BASH_HEADER = "#!/bin/bash\n"
# the command line slurm will execute
SBATCH_COMMAND_LINE = "\
sbatch --cpus-per-task=1 --nodes=1 --ntasks=1 \
--chdir={ramulator_dir} \
--output={output_file_name} \
--error={error_file_name} \
--partition=cpu_part \
--job-name='{job_name}' \
{ramulator_dir}/run_scripts/{config_name}{config_extension}-{workload}.sh"
# the script executed by the command line slurm executes
BASE_COMMAND_LINE = "\
{ramulator_dir}/ramulator "
# nRH sweep all mechanisms
configs = [
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/ABACUS/ABACUS125.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/ABACUS/ABACUS250.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/ABACUS/ABACUS500.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/ABACUS/ABACUS1000.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/Baseline.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/Hydra-Baseline.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/Graphene125.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/Graphene250.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/Graphene500.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/Graphene1000.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/Hydra125.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/Hydra250.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/Hydra500.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/Hydra1000.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/REGA125.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/REGA250.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/REGA500.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/REGA1000.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/PARA125.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/PARA250.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/PARA500.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/PARA1000.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/ACT-period-256ms.yaml',
'/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/MC-Baseline.yaml'
]
traces = [
"random_10.trace",
"stream_10.trace",
"401.bzip2",
"403.gcc",
"429.mcf",
"433.milc",
"434.zeusmp",
"435.gromacs",
"436.cactusADM",
"437.leslie3d",
"444.namd",
"445.gobmk",
"447.dealII",
"450.soplex",
"456.hmmer",
"458.sjeng",
"459.GemsFDTD",
"462.libquantum",
"464.h264ref",
"470.lbm",
"471.omnetpp",
"473.astar",
"481.wrf",
"482.sphinx3",
"483.xalancbmk",
"500.perlbench",
"502.gcc",
"505.mcf",
"507.cactuBSSN",
"508.namd",
"510.parest",
"511.povray",
"519.lbm",
"520.omnetpp",
"523.xalancbmk",
"525.x264",
"526.blender",
"531.deepsjeng",
"538.imagick",
"541.leela",
"544.nab",
"549.fotonik3d",
"557.xz",
"bfs_dblp",
"bfs_cm2003",
"bfs_ny",
"grep_map0",
"h264_decode",
"h264_encode",
"jp2_decode",
"jp2_encode",
"tpcc64",
"tpch17",
"tpch2",
"tpch6",
"wc_8443", # wordcount-8443
"wc_map0", # wordcount-map0
"ycsb_abgsave",
"ycsb_aserver",
"ycsb_bserver",
"ycsb_cserver",
"ycsb_dserver",
"ycsb_eserver"
]
LOW_RBMPKI = ['531.deepsjeng', '502.gcc', '541.leela', '435.gromacs', '481.wrf', '458.sjeng', '445.gobmk', '444.namd', '508.namd', '401.bzip2', '456.hmmer', '403.gcc', '464.h264ref', '526.blender', '447.dealII', '544.nab', '523.xalancbmk', '500.perlbench', '538.imagick', '525.x264', '507.cactuBSSN', '511.povray']
MED_RBMPKI = ['462.libquantum', '473.astar', '510.parest', '482.sphinx3', '505.mcf', '557.xz', '471.omnetpp', '483.xalancbmk', '436.cactusADM']
HIGH_RBMPKI = ['520.omnetpp', '450.soplex', '470.lbm', '519.lbm', '434.zeusmp', '433.milc', '459.GemsFDTD', '549.fotonik3d', '429.mcf', '437.leslie3d']
# @returns SBATCH command used to invoke the ramulator script
def generateExecutionSetup(ramulator_dir, output_dir, trace_dir, config, workload_name_list):
CMD = BASE_COMMAND_LINE.format(
ramulator_dir = ramulator_dir,
)
ramulator_config=None
with open(config) as f:
ramulator_config = yaml.load(f, Loader=yaml.FullLoader)
bare_config = config.split('/')[-1]
workload_name_list_dir = [(trace_dir + "/" + x) for x in workload_name_list]
ramulator_config["processor"]["trace"] = workload_name_list_dir
if "cache" in ramulator_config["processor"]:
if ramulator_config["processor"]["cache"]:
if "L3" in ramulator_config["processor"]["cache"]:
ramulator_config["processor"]["cache"]["L3"]["capacity"] = str(int(len(workload_name_list_dir) * 2)) + "MB"
if "MC-Baseline.yaml" not in config:
ramulator_config["processor"]["warmup_insts"] = int(100000000/len(workload_name_list_dir))
if len(workload_name_list_dir) > 1:
ramulator_config["processor"]["warmup_insts"] = 0
ramulator_config["processor"]["expected_limit_insts"] = int(200000000/len(workload_name_list_dir))
SBATCH_CMD = SBATCH_COMMAND_LINE.format(
ramulator_dir = ramulator_dir,
output_file_name = '{output_file_name}',
error_file_name = '{error_file_name}',
config_extension = '',
job_name = '{job_name}',
config_name = bare_config,
workload = '{workload}'
)
prog_list = ""
length = len(workload_name_list)
for j in range(length-1):
prog_list += workload_name_list[j] + '-'
prog_list += workload_name_list[length-1]
stats_prefix = output_dir + '/' + bare_config + '/' + prog_list + '/'
ramulator_config["stats"]["prefix"] = stats_prefix
activate_dump_file_name = output_dir + '/' + bare_config + '/' + prog_list + '/activate_commands.txt'
period_dump_file_name = output_dir + '/' + bare_config + '/' + prog_list + '/activate_periods.txt'
ramulator_config["memory"]["controller"]["activation_count_dump_file"] = activate_dump_file_name
if "refresh_based_defense" in ramulator_config["post_warmup_settings"]["memory"]["controller"]:
ramulator_config["post_warmup_settings"]["memory"]["controller"]["refresh_based_defense"]["activation_period_file_name"] = period_dump_file_name
# Finalize CMD
CMD += "\"" + yaml.dump(ramulator_config) + "\""
SBATCH_CMD = SBATCH_CMD.format(
output_file_name = output_dir + '/' + bare_config + '/' + prog_list + '/output.txt',
error_file_name = output_dir + '/' + bare_config + '/' + prog_list + '/error.txt',
job_name = prog_list,
workload = prog_list
)
os.system('mkdir -p ' + output_dir + '/' + bare_config + '/' + prog_list)
f = open(ramulator_dir + '/run_scripts/' + bare_config + '-' + prog_list + '.sh', 'w')
f.write(BASH_HEADER)
f.write(CMD)
f.close()
return SBATCH_CMD
ramulator_dir = args.working_directory
output_dir = args.output_directory
trace_dir = args.trace_directory
# remove scripts
os.system('rm -r ' + ramulator_dir + '/run_scripts')
os.system('mkdir -p ' + output_dir)
os.system('mkdir -p ' + ramulator_dir + '/run_scripts')
all_sbatch_commands = []
all_sbatch_commands.append(BASH_HEADER)
for config in configs:
os.system('mkdir -p ' + output_dir + '/' + config.split('/')[-1])
###################### single core traces ######################
for trace in traces:
print(trace)
all_sbatch_commands.append(generateExecutionSetup(ramulator_dir, output_dir, trace_dir, config, [trace]))
###################### 8-core traces ######################
if config != '/mnt/panzer/aevaluator/ABACuS/configs/ABACUS/Others/ACT-period-256ms.yaml':
for workload in traces:
print([workload] * 8)
all_sbatch_commands.append(generateExecutionSetup(ramulator_dir, output_dir, trace_dir, config, [workload] * 8))
with open('run.sh', 'w') as f:
f.write('\n'.join(all_sbatch_commands))
os.system('chmod uog+x run.sh')