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    <p>@Velimir Mlaker gave a great answer. I thought I could add some bits of comments and a tiny example.</p> <p>(I couldn't find much documentation on sharedmem - these are the results of my own experiments.)</p> <ol> <li>Do you need to pass the handles when the subprocess is starting, or after it has started? If it's just the former, you can just use the <code>target</code> and <code>args</code> arguments for <code>Process</code>. This is potentially better than using a global variable.</li> <li>From the discussion page you linked, it appears that support for 64-bit Linux was added to sharedmem a while back, so it could be a non-issue.</li> <li>I don't know about this one.</li> <li>No. Refer to example below.</li> </ol> <h3>Example</h3> <pre><code>#!/usr/bin/env python from multiprocessing import Process import sharedmem import numpy def do_work(data, start): data[start] = 0; def split_work(num): n = 20 width = n/num shared = sharedmem.empty(n) shared[:] = numpy.random.rand(1, n)[0] print "values are %s" % shared processes = [Process(target=do_work, args=(shared, i*width)) for i in xrange(num)] for p in processes: p.start() for p in processes: p.join() print "values are %s" % shared print "type is %s" % type(shared[0]) if __name__ == '__main__': split_work(4) </code></pre> <h3>Output</h3> <pre><code>values are [ 0.81397784 0.59667692 0.10761908 0.6736734 0.46349645 0.98340718 0.44056863 0.10701816 0.67167752 0.29158274 0.22242552 0.14273156 0.34912309 0.43812636 0.58484507 0.81697513 0.57758441 0.4284959 0.7292129 0.06063283] values are [ 0. 0.59667692 0.10761908 0.6736734 0.46349645 0. 0.44056863 0.10701816 0.67167752 0.29158274 0. 0.14273156 0.34912309 0.43812636 0.58484507 0. 0.57758441 0.4284959 0.7292129 0.06063283] type is &lt;type 'numpy.float64'&gt; </code></pre> <p>This <a href="https://stackoverflow.com/questions/7894791/use-numpy-array-in-shared-memory-for-multiprocessing">related question</a> might be useful.</p>
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    1. COThanks so much. I marked this as the correct answer since it wrapped up some of the missing details I needed :) I was torn between awarding the +50 to you or @Velimir, but since your answer was building on his a bit and you pointed out that his was great as well, I thought that was most fair. Thanks, you're awesome!
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