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    <p>If by cluster computing you mean distributed memory systems (multiple nodes rather that SMP) then Python's multiprocessing may not be a suitable choice. It can spawn multiple processes but they will still be bound within a single node.</p> <p>What you will need is a framework that handles spawing of processes across multiple nodes and provides a mechanism for communication between the processors. (pretty much what MPI does).</p> <p>See the page on <a href="http://wiki.python.org/moin/ParallelProcessing" rel="noreferrer">Parallel Processing on the Python wiki</a> for a list of frameworks which will help with cluster computing. </p> <p>From the list, <a href="http://www.parallelpython.com/" rel="noreferrer">pp</a>, <a href="http://luispedro.org/software/jug" rel="noreferrer">jug</a>, <a href="http://pythonhosted.org/Pyro4/" rel="noreferrer">pyro</a> and <a href="http://celeryproject.org/" rel="noreferrer">celery</a> look like sensible options although I can't personally vouch for any since I have no experience with any of them (I use mainly MPI).</p> <p>If ease of installation/use is important, I would start by exploring <code>jug</code>. It's <a href="https://jug.readthedocs.org/en/latest/#how-do-i-get-jug" rel="noreferrer">easy to install</a>, <a href="http://jug.readthedocs.org/en/latest/faq.html#will-jug-work-on-batch-cluster-systems-like-sge-or-pbs" rel="noreferrer">supports common batch cluster systems</a>, and looks <a href="http://jug.readthedocs.org/" rel="noreferrer">well documented</a>.</p>
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    1. COI wrote jug (thank for you the kind words). I'll add that the module is also well supported. If you find any bugs at all, they'll get fixed very fast (<24h, generally).
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