104 lines
3.2 KiB
Python
104 lines
3.2 KiB
Python
from data_stat import Cpu
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import argparse
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import glob
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import os
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import subprocess
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import random
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parser = argparse.ArgumentParser()
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parser.add_argument('cpu', choices=[x.name.lower() for x in Cpu])
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parser.add_argument('output_dir')
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parser.add_argument('matrix_dir')
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parser.add_argument('iterations', type=int)
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parser.add_argument('baseline_time_s', type=int)
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parser.add_argument('baseline_delay_s', type=int)
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parser.add_argument('--perf', action='store_const', const='--perf')
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parser.add_argument('--power', action='store_const', const='--power')
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parser.add_argument('--distribute', action='store_true')
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args = parser.parse_args()
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args.cpu = Cpu[args.cpu.upper()]
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srun_args = {
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Cpu.ALTRA: [
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'--account', 'oasis',
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'--partition', 'oasis',
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'--qos', 'oasis-exempt',
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#'--cpus-per-task 160',
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'--cpus-per-task', '160',
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#'--mem 28114',
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'--mem', '16G',
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'--ntasks-per-node', '1'#,
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#'--exclusive',
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#'--output', '/dev/null',
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#'--error', '/dev/null'
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],
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Cpu.EPYC_7313P: [
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'--account', 'nexus',
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'--partition', 'tron',
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'--qos', 'high',
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'--cpus-per-task', '16',
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'--ntasks-per-node', '1',
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'--prefer', 'EPYC-7313P'
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]
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}
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python = {
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Cpu.ALTRA: 'python3',
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Cpu.EPYC_7313P: 'python3.11'
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}
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def srun(srun_args_list: list, run_args, matrix_file: str) -> list:
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run_args_list = [
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args.cpu.name.lower(),
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matrix_file,
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str(args.iterations),
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str(args.baseline_time_s),
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str(args.baseline_delay_s)]
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if args.perf is not None:
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run_args_list += [args.perf]
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if args.power is not None:
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run_args_list += [args.power]
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return ['srun'] + srun_args_list + [python[args.cpu], 'run.py'] + run_args_list
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processes = list()
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for i, matrix in enumerate(glob.glob(f'{args.matrix_dir.rstrip("/")}/*.mtx')):
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if args.distribute:
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if args.cpu == Cpu.ALTRA:
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i = i % 40
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srun_args_temp = srun_args[args.cpu] + ['--nodelist', f'oasis{i:02}']
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elif args.cpu == Cpu.EPYC_7313P:
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srun_args_temp = srun_args[args.cpu]
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else:
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srun_args_temp = srun_args[args.cpu]
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output_filename = '_'.join([
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args.cpu.name.lower(),
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str(args.baseline_time_s),
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str(args.baseline_delay_s),
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os.path.splitext(os.path.basename(matrix))[0],
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str(args.iterations)])
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json_filepath = f'{args.output_dir.rstrip("/")}/{output_filename}.json'
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raw_filepath = f'{args.output_dir.rstrip("/")}/{output_filename}.output'
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with open(json_filepath, 'w') as json_file, open(raw_filepath, 'w') as raw_file:
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print(srun(srun_args_temp, args, matrix))
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print(json_filepath)
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print(raw_filepath)
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processes.append(subprocess.Popen(
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srun(srun_args_temp, args, matrix),
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stdout=json_file,
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stderr=raw_file))
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# Wait on every 10 jobs to avoid socket timeout.
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if i % 10 == 9:
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print("Waiting on 10 jobs")
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for process in processes:
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process.wait()
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processes = list()
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for process in processes:
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process.wait()
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