On Fri, 28 Jan 2011 12:39:44 +0200, avidday <avid...@gmail.com> wrote: > I have hit a wall moving some existing pycuda code to a distributed > memory cluster and am hoping someone cleverer than I can suggest a > work around.
Try calling pytools.prefork.enable_prefork before you call MPI_Init(). (PyCUDA is already prepared for this under the hood, and you already have pytools if you have PyCUDA.) http://git.tiker.net/pytools.git/blob/HEAD:/pytools/prefork.py If you use mpi4py, you simply import pytools.mpiwrap in its stead, this will take care of doing the prefork for you. (mpi4py call MPI_Init implicitly on import, which makes this a bit tricky.) HTH, Andreas
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