![]() ![]() The goals of MPICH are: (1) to provide an MPI implementation that efficiently supports different computation and communication platforms including commodity clusters (desktop systems, shared-memory systems, multicore architectures), high-speed networks (10 Gigabit Ethernet, InfiniBand, Myrinet, Quadrics) and proprietary high-end computing systems (Blue Gene, Cray) and (2) to enable cutting-edge research in MPI through an easy-to-extend modular framework for other derived implementations. ![]() We recommend using conda to build a Python environment with all the necessary prerequisites. MPICH is a high-performance and widely portable implementation of the Message Passing Interface (MPI) standard (MPI-1, MPI-2 and MPI-3). A Python 2.4 to 2.7 or 3.0 to 3.3 distribution, with Python library preferably built with shared/dynamic libraries. Dedalus is a Python 3 package that includes custom C-extensions (compiled with Cython) and that relies on MPI, FFTW (linked to MPI), HDF5, and a basic scientific-Python stack: numpy, scipy, mpi4py (linked to the same MPI), and h5py.
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