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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 ...
Windows, Linux, macOS Yes, via OpenHPC. Also available as part of Spack, xSDK, E4S, FASTMath, RADIUSS and CEED. Linux (Debian/Ubuntu) Linux, Windows, Mac Windows, Linux (launchpad: Debian/Ubuntu), Mac (homebrew) (all with MPI) Linux (Debian\Ubuntu), Mac Windows, Linux, Mac fullname: Elmer finite element software Testing:
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
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.
Rocks Cluster Distribution (originally NPACI Rocks) is a Linux distribution intended for high-performance computing (HPC) clusters.It was started by National Partnership for Advanced Computational Infrastructure and the San Diego Supercomputer Center (SDSC) in 2000. [2]
It is being widely used to collect low level performance metrics (e.g. instruction counts, clock cycles, cache misses) of computer systems running UNIX/Linux operating systems. PAPI provides predefined high level hardware events summarized from popular processors and direct access to low level native events of one particular processor.
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.
OpenMP (Open Multi-Processing) is an application programming interface (API) that supports multi-platform shared-memory multiprocessing programming in C, C++, and Fortran, [3] on many platforms, instruction-set architectures and operating systems, including Solaris, AIX, FreeBSD, HP-UX, Linux, macOS, and Windows.