Something similar to ParallelPython for C++?

I need to do some extensive searching and string comparisons and for this I figure that a compiled program is much better than an interpreted ones especially after seeing some comparison studies. I came across ParallelPython which was beautiful. It has autodis开发者_开发百科covery for clusters and can pretty much do all the load balancing for me as well.

My first question is, is it a good idea to just go ahead with Python on a cluster having 20 nodes or do I switch to C++? If I need to switch then is there a good alternative to ParallelPython for C++ that provides features like load balancing and autodiscovery for node?

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I would suggest OpenMPI. I do not know what ParallelPython does exactly, but OpenMPI is an open API for cluster computing, and I imagine it will provide the requested functionality.

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You can always use ParallelPython for your high level work, and call into C++ code for the "hard-core" processing, as needed.

That being said, there are options in the C++ world. The most common cluster-based technology is MPI. Some implementations provide load balancing and auto-discovery, though it's not in the core spec.