1.1 --- /dev/null Thu Jan 01 00:00:00 1970 +0000
1.2 +++ b/examples/simple_managed_map.py Sat Sep 15 19:42:24 2007 +0000
1.3 @@ -0,0 +1,58 @@
1.4 +#!/usr/bin/env python
1.5 +
1.6 +"""
1.7 +A simple example of parallel computation using a map and managed callables.
1.8 +"""
1.9 +
1.10 +import pprocess
1.11 +import time
1.12 +
1.13 +# Array size and a limit on the number of processes.
1.14 +
1.15 +N = 10
1.16 +limit = 10
1.17 +delay = 1
1.18 +
1.19 +# Work function and monitoring class.
1.20 +
1.21 +def calculate(i, j):
1.22 +
1.23 + """
1.24 + A supposedly time-consuming calculation on 'i' and 'j'.
1.25 + """
1.26 +
1.27 + time.sleep(delay)
1.28 + return i * N + j
1.29 +
1.30 +# Main program.
1.31 +
1.32 +if __name__ == "__main__":
1.33 +
1.34 + t = time.time()
1.35 +
1.36 + # Initialise the results using map with a limit on the number of
1.37 + # channels/processes.
1.38 +
1.39 + results = pprocess.Map(limit=limit)
1.40 +
1.41 + # Wrap the calculate function and manage it.
1.42 +
1.43 + calc = results.manage(pprocess.MakeParallel(calculate))
1.44 +
1.45 + # Perform the work.
1.46 +
1.47 + print "Calculating..."
1.48 + for i in range(0, N):
1.49 + for j in range(0, N):
1.50 + calc(i, j)
1.51 +
1.52 + # Show the results.
1.53 +
1.54 + for i in range(0, N):
1.55 + for result in results[i*N:i*N+N]:
1.56 + print result,
1.57 + print
1.58 +
1.59 + print "Time taken:", time.time() - t
1.60 +
1.61 +# vim: tabstop=4 expandtab shiftwidth=4