Translations:MPI/10/en: Difference between revisions
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The Message Passing Interface (MPI) is, strictly speaking, a ''standard'' describing a set of subroutines, functions, objects, ''etc.'', with which one can write parallel programs in a distributed memory environment. Many different ''implementations'' of the standard have been produced, such as Open MPI, MPICH, and MVAPICH. The standard describes how MPI should be called from Fortran, C, and C++ languages, but unofficial "bindings" can be found for several other languages. | The Message Passing Interface (MPI) is, strictly speaking, a ''standard'' describing a set of subroutines, functions, objects, ''etc.'', with which one can write parallel programs in a distributed memory environment. Many different ''implementations'' of the standard have been produced, such as Open MPI, Intel MPI, MPICH, and MVAPICH. The standard describes how MPI should be called from Fortran, C, and C++ languages, but unofficial "bindings" can be found for several other languages. Note that MPI 3.0 dropped official C++ bindings but instead you can use the C bindings from C++, or [https://www.boost.org/doc/libs/1_71_0/doc/html/mpi.html Boost MPI]. For Python we give examples using the MPI for Python package [https://mpi4py.readthedocs.io mpi4py]. | ||
Revision as of 15:24, 24 October 2019
The Message Passing Interface (MPI) is, strictly speaking, a standard describing a set of subroutines, functions, objects, etc., with which one can write parallel programs in a distributed memory environment. Many different implementations of the standard have been produced, such as Open MPI, Intel MPI, MPICH, and MVAPICH. The standard describes how MPI should be called from Fortran, C, and C++ languages, but unofficial "bindings" can be found for several other languages. Note that MPI 3.0 dropped official C++ bindings but instead you can use the C bindings from C++, or Boost MPI. For Python we give examples using the MPI for Python package mpi4py.