on http://docs.python.org/2/library/multiprocessing.html, there is a bit about how to use a Pool properly, which looks like this

pool = Pool(processes=4)              # start 4 worker processes
result = pool.apply_async(f, [10])

What this neglects to mention is that only one process will get any of the work.  If you really want four processes in the pool to work, you have to call apply_async four times.  For example:

results = []
pool = Pool(processes=4)
for i in xrange(4):
    results.append(pool.apply_async(f, [10]))

hat tip to http://stackoverflow.com/questions/12483512/python-multiprocessing-apply-async-only-uses-one-process