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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 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.
MPI, OpenMP, PVM Yes Yes, and native Python Binding: PBS Pro: C/Python: OS Authentication, Munge Any, e.g., NFS, Lustre, GPFS, AFS Limited availability Heterogeneous Yes Yes Fully configurable Yes tested ~50,000 Millions Yes MPI, OpenMP Yes Yes: OpenLava: C/C++ OS authentication None NFS Heterogeneous Linux Yes Yes Configurable Yes
This python program: $ mpirun -np 3 pyMPI > import mpi > print "Hi, I'm process #%d" % mpi.rank will print this output: Hi, I'm process #0 Hi, I'm process #1 Hi, I'm process #2 The -np parameter given to mpirun tells mpi to use 3 processes, and each process in its turn prints its output on the screen.
MPI implementations typically use TCP/IP and socket connections. [6] MPI is now a widely available communications model that enables parallel programs to be written in languages such as C, Fortran, Python, etc. [8] The MPI specification has been implemented in systems such as MPICH and Open MPI. [8] [9]
Multiplatform open source application for the solution of physical problems based on the Hermes library: University of West Bohemia: 3.2: 2014-03-03: GNU GPL: Free: Linux, Windows: CalculiX: It is an Open Source FEA project. The solver uses a partially compatible ABAQUS file format. The pre/post-processor generates input data for many FEA and ...
C, C++, Fortran/Fortran90 and Python applications. Performance profiler. Shows I/O, communication, floating point operation usage and memory access costs. Supports multi-threaded and multi-process applications - such as those with MPI or OpenMP parallelism and scales to very high node counts. Proprietary CodeAnalyst by AMD: Linux, Windows
MPICH, formerly known as MPICH2, is a freely available, portable implementation of MPI, a standard for message-passing for distributed-memory applications used in parallel computing. MPICH is Free and open source software with some public domain components that were developed by a US governmental organisation, [ 2 ] and is available for most ...