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Open MPI is a Message Passing Interface (MPI) library project combining technologies and resources from several other projects (FT-MPI, LA-MPI, LAM/MPI, and PACX-MPI).It is used by many TOP500 supercomputers including Roadrunner, which was the world's fastest supercomputer from June 2008 to November 2009, [3] and K computer, the fastest supercomputer from June 2011 to June 2012.
The original implementation of MPICH (sometimes called "MPICH1") implemented the MPI-1.1 standard. In 2001, work began on a new code base to replace the MPICH1 code and support the MPI-2 standard. Until November 2012, this project was known as "MPICH2". As of November 2012, the MPICH2 project renamed itself to simply "MPICH".
Version 2.5 is a combined C/C++/Fortran specification that was released in 2005. [citation needed] Up to version 2.0, OpenMP primarily specified ways to parallelize highly regular loops, as they occur in matrix-oriented numerical programming, where the number of iterations of the loop is known at entry time. This was recognized as a limitation ...
The Message Passing Interface (MPI) is a portable message-passing standard designed to function on parallel computing architectures. [1] The MPI standard defines the syntax and semantics of library routines that are useful to a wide range of users writing portable message-passing programs in C, C++, and Fortran.
Microsoft Message Passing Interface (MS MPI) [1] is an implementation of the MPI-2 specification by Microsoft for use in Windows HPC Server 2008 to interconnect and communicate (via messages) between High performance computing nodes. It is mostly compatible with the MPICH2 reference implementation, with some exceptions for job launch and ...
[1] [2] [3] ScaLAPACK is designed for heterogeneous computing and is portable on any computer that supports MPI or PVM. ScaLAPACK depends on PBLAS operations in the same way LAPACK depends on BLAS. As of version 2.0, the code base directly includes PBLAS and BLACS and has dropped support for PVM.
LAM/MPI is one of the predecessors of the Open MPI project. Open MPI represents a community-driven, next generation implementation of a Message Passing Interface (MPI) fundamentally designed upon a component architecture to make an extremely powerful platform for high-performance computing. LAM/MPI was officially retired in March 2015. [1]
The software implements the multifrontal method, which is a version of Gaussian elimination for large sparse systems of equations, especially those arising from the finite element method. It is written in Fortran 90 with parallelism by MPI and it uses BLAS and ScaLAPACK kernels for dense matrix computations.