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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.
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 ...
Installations can be customized with additional software packages at install-time by using special user-supplied CDs (called "Roll CDs"). The "Rolls" extend the system by integrating seamlessly and automatically into the management and packaging mechanisms used by base software, greatly simplifying installation and configuration of large ...
MPI hardware research focuses on implementing MPI directly in hardware, for example via processor-in-memory, building MPI operations into the microcircuitry of the RAM chips in each node. By implication, this approach is independent of language, operating system, and CPU, but cannot be readily updated or removed.
Examples of MPI software include Open MPI or MPICH. There are additional MPI implementations available. Beowulf systems operate worldwide, chiefly in support of scientific computing. Since 2017, every system on the Top500 list of the world's fastest supercomputers has used Beowulf software methods and a Linux operating system.
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
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.
Singularity is a free and open-source computer program that performs operating-system-level virtualization also known as containerization. [4]One of the main uses of Singularity is to bring containers and reproducibility to scientific computing and the high-performance computing (HPC) world.