Created
September 13, 2013 06:55
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Multi-core programming with Python
http://in.pycon.org/2010/talks/65-multi-core-programming-with-python
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import sys | |
import time | |
import multiprocessing | |
from merge_sort import * | |
from sort_helpers import * | |
def split(arr, n): | |
part_len = len(arr) / n | |
if part_len == 0: | |
return arr | |
res = [] | |
for i in range(0, n - 1): | |
beg = i * part_len | |
end = beg + part_len | |
res.append(arr[beg : end]) | |
res.append(arr[(n - 1) * part_len : ]) | |
return res | |
def merge_all(arrays): | |
res = [] | |
for i in range(0, len(arrays)): | |
res = merge(res, arrays[i]) | |
return res | |
if __name__ == "__main__": | |
if len(sys.argv) != 3: | |
print "usage: merge_sort.py <in> <out>" | |
sys.exit(-1) | |
workers = multiprocessing.cpu_count() | |
pool = multiprocessing.Pool(workers) | |
arr = load(sys.argv[1]) | |
start = time.time() | |
splices = split(arr, workers) | |
res = pool.map(merge_sort, splices) | |
res = merge_all(res) | |
stop = time.time() | |
flush(res, sys.argv[2]) | |
print "Time taken: %f seconds" % ((stop - start)) | |
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