Collecting CPU utilization on the PARSEC benchmark (parsec.cs.princeton.edu)

parsec.py

#!/usr/bin/python

import sys, subprocess

apps = [
    'blackscholes',
    'bodytrack',
    'canneal',
    'dedup',
    'facesim',
    'ferret',
    'fluidanimate',
    'freqmine',
    'raytrace',
    'streamcluster',
    'swaptions',
    'vips',
    'x264']

inputs = [
    'test',
    'simdev',
    'simsmall',
    'simmedium',
    'simlarge',
    'native'
]

threads = [1, 2, 4, 8, 16, 32, 64, 128, 256]

for app in apps:
    for thread in threads:
        for input in inputs:
            cmd = '../bin/parsecmgmt -a run -i %s -p %s -n %d' % (input, app, thread)
            file = open('./out/%s-%s-%d.out' % (app, input, thread), 'w')

            print cmd
            p = subprocess.call([cmd], shell=True, stdout=file, stderr=file)

            file.close()

print 'Done!'