On Sun, Jun 14, 2009 at 5:27 PM, Bryan Cole<br...@cole.uklinux.net> wrote: >> In fact, I should have specified previously: I need to >> deploy on MS-Win. On first glance, I can't see that mpi4py is >> installable on Windows. > > My mistake. I see it's included in Enthon, which I'm using. >
Hi, Bryan... I'm the author of mpi4py... If you are going to run your code in a single multicore machine, then you should likely use Sturla's extension... As you noticed, MPI is a bit "complicated". Moreover, you will have two dependencies: the core MPI implementation, and mpi4py. These "complications" and extra dependencies however do make sense in the case of DISTRIBUTED computing, i.e, you want to take advantage of many machines to perform your computations. In such cases, MPI is the "smart" approach, and mpi4py the best wrapper out there... -- Lisandro Dalcín --------------- Centro Internacional de Métodos Computacionales en Ingeniería (CIMEC) Instituto de Desarrollo Tecnológico para la Industria Química (INTEC) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) PTLC - Güemes 3450, (3000) Santa Fe, Argentina Tel/Fax: +54-(0)342-451.1594 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
