Python has a Parallel version of 'map' where we can offload work to os
level processes (worker pool) and get the results
-------------< cut here >-----------------------
from multiprocessing import Pool
def f(x):
return x*x
if __name__ == '__main__':
pool = Pool(processes=4) # start 4 worker processes
result = pool.apply_async(f, [10]) # evaluate "f(10)" asynchronously
print(result.get(timeout=1)) # prints "100" unless your
computer is *very* slow
print(pool.map(f, range(10))) # prints "[0, 1, 4,..., 81]"
----------------< end >--------------------------
I am aware that Chicken has threads, but they are limited to a single
process. An egg for parallel map would be a welcome addition for new
schemers like me to make use of those extra cores :)
- Joe
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