sturlamolden wrote: > 3. One often uses cluster architectures (e.g. Beowulf) instead of SMPs > for scientific computing. MPI works on SMP and clusters. Threads only > work on SMPs.
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/ -- http://mail.python.org/mailman/listinfo/python-list
