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run_all_experiments_ALPHA_CCNUMA_no_checkpoints.py
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#!/usr/bin/python
#
# A Python script to run all CC-NUMA multi-core experiments for PARSEC 2.1 benchmarks.
#
# Copyright (C) Min Cai 2015
#
import os
import multiprocessing as mp
def run(bench, input_set, l2_size, l2_assoc, l2_tags, num_domains, num_cpus_per_domain, numa_cache_size,
numa_cache_assoc, numa_cache_tags):
num_threads = num_domains * num_cpus_per_domain
dir = 'results/alpha_ccnuma_no_checkpoints/' + bench + '/' + input_set + '/' + \
l2_size + '/' + str(l2_assoc) + 'way/' + l2_tags + '/' + \
str(num_domains) + 'd/' + str(num_cpus_per_domain) + 'c/'
# + numa_cache_size + '/' + str(numa_cache_assoc) + 'way/' + numa_cache_tags + '/'
os.system('rm -fr ' + dir)
os.system('mkdir -p ' + dir)
cmd_run = 'build/ALPHA_MESI_Two_Level/gem5.opt -d ' + dir + ' configs/numa/ccnuma_fs.py --two-phase --cpu-type=timing --num-cpus=' \
+ str(num_threads) + ' --script=ext/parsec/2.1/run_scripts/' \
+ bench + '_' + str(num_threads) + 'c_' + input_set + '.rcS' \
+ ' --caches --l2cache --num-l2caches=1' \
+ ' --l1d_size=32kB --l1i_size=32kB --l2_size=' + l2_size + ' --l2_assoc=' + str(l2_assoc) + ' --l2_tags=' + l2_tags \
+ ' --num_domains=' + str(num_domains) + ' --num_cpus_per_domain=' + str(num_cpus_per_domain) \
+ ' --numa_cache_size=' + numa_cache_size + ' --numa_cache_assoc=' + str(numa_cache_assoc) + ' --numa_cache_tags=' + numa_cache_tags \
+ ' --mem_size_per_domain=256MB'
print cmd_run
os.system(cmd_run)
def run_as_task(task):
bench, input_set, l2_size, l2_assoc, l2_tags, num_domains, num_cpus_per_domain, numa_cache_size, numa_cache_assoc, numa_cache_tags = task
run(bench, input_set, l2_size, l2_assoc, l2_tags, num_domains, num_cpus_per_domain, numa_cache_size, numa_cache_assoc, numa_cache_tags)
tasks = []
def run_experiments():
num_processes = mp.cpu_count()
pool = mp.Pool(num_processes)
pool.map(run_as_task, tasks)
pool.close()
pool.join()
def add_task(bench, input_set, l2_size, l2_assoc, l2_tags, num_domains, num_cpus_per_domain, numa_cache_size, numa_cache_assoc, numa_cache_tags):
task = (bench, input_set, l2_size, l2_assoc, l2_tags, num_domains, num_cpus_per_domain, numa_cache_size, numa_cache_assoc, numa_cache_tags)
tasks.append(task)
# input_sets = ['simsmall', 'simmedium', 'simlarge']
# input_sets = ['simsmall']
# input_sets = ['simmedium']
input_sets = ['simlarge']
def add_tasks(bench, input_set):
add_task(bench, input_set, '256kB', 8, 'LRU', 2, 2, '1kB', 8, 'LRU')
add_task(bench, input_set, '512kB', 8, 'LRU', 2, 2, '1kB', 8, 'LRU')
add_task(bench, input_set, '1MB', 8, 'LRU', 2, 2, '1kB', 8, 'LRU')
add_task(bench, input_set, '2MB', 8, 'LRU', 2, 2, '1kB', 8, 'LRU')
add_task(bench, input_set, '4MB', 8, 'LRU', 2, 2, '1kB', 8, 'LRU')
add_task(bench, input_set, '8MB', 8, 'LRU', 2, 2, '1kB', 8, 'LRU')
add_task(bench, input_set, '256kB', 8, 'LRU', 2, 1, '1kB', 8, 'LRU')
add_task(bench, input_set, '256kB', 8, 'LRU', 2, 4, '1kB', 8, 'LRU')
add_task(bench, input_set, '256kB', 8, 'LRU', 2, 8, '1kB', 8, 'LRU')
add_task(bench, input_set, '256kB', 8, 'LRU', 4, 1, '1kB', 8, 'LRU')
add_task(bench, input_set, '256kB', 8, 'LRU', 4, 2, '1kB', 8, 'LRU')
add_task(bench, input_set, '256kB', 8, 'LRU', 4, 4, '1kB', 8, 'LRU')
add_task(bench, input_set, '256kB', 8, 'IbRDP', 2, 2, '1kB', 8, 'LRU')
add_task(bench, input_set, '256kB', 8, 'RRIP', 2, 2, '1kB', 8, 'LRU')
add_task(bench, input_set, '256kB', 8, 'DBRSP', 2, 2, '1kB', 8, 'LRU')
for input_set in input_sets:
add_tasks('blackscholes', input_set)
add_tasks('bodytrack', input_set)
add_tasks('canneal', input_set)
add_tasks('dedup', input_set)
add_tasks('facesim', input_set)
add_tasks('ferret', input_set)
add_tasks('fluidanimate', input_set)
add_tasks('freqmine', input_set)
add_tasks('streamcluster', input_set)
add_tasks('swaptions', input_set)
add_tasks('vips', input_set)
add_tasks('x264', input_set)
run_experiments()