sturlamolden wrote: > Following up on my previous post, there is a simple Python MPI wrapper > that can be used to exploit multiple processors for scientific > computing. It only works for Numeric, but an adaptaion to NumPy should > be easy (there is only one small C file in the source): > > http://datamining.anu.edu.au/~ole/pypar/ > > If you are using Windows, you can get a free implementation of MPI > here: > > http://www-unix.mcs.anl.gov/mpi/mpich1/mpich-nt/
It's also worth noting http://mpi4py.scipy.org The project just moved over to scipy hosting a few days ago, and the boxes haven't been unpacked yet. But it is very actively developed, has full numpy and MPI-2 support, and is looking very nice. Cheers, f -- http://mail.python.org/mailman/listinfo/python-list
