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The Wayback Machine - https://web.archive.org/web/20200903084612/https://github.com/topics/mpi
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1,111 public repositories
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Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Updated
Sep 3, 2020
Python
Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
OpenHPC Integration, Packaging, and Test Repo
distributed dataflows with functional list operations for data processing with C++14
Official git repository of Elmer FEM software
Updated
Sep 2, 2020
Fortran
LibTomMath is a free open source portable number theoretic multiple-precision integer library written entirely in C.
C++ library for solving large sparse linear systems with algebraic multigrid method
Updated
Aug 27, 2020
Python
High-performance stateful serverless runtime based on WebAssembly
This is a set of simple programs that can be used to explore the features of a parallel platform.
Official MPICH Repository
Updated
Jul 23, 2020
HTML
Simplify HPC and Batch workloads on Azure
Updated
Aug 4, 2020
Python
🔬 Assemble large genomes using short reads
A fast simulator and a library dedicated to the channel coding.
DMTCP: Distributed MultiThreaded CheckPointing
🚀 Fast prime counting function implementations
Updated
Jul 30, 2020
Julia
RAxML Next Generation: faster, easier-to-use and more flexible
TomsFastMath is a fast public domain, open source, large integer arithmetic library written in portable ISO C.
Kubernetes Operator for Allreduce-style Distributed Training
Modular, multilingual (C, C++, CUDA, Fortran, Python) utility for performance measurement and analysis
Information about many aspects of high-performance computing. Wiki content moved to ~/docs.
QUDA is a library for performing calculations in lattice QCD on GPUs.
DASH, the C++ Template Library for Distributed Data Structures with Support for Hierarchical Locality for HPC and Data-Driven Science
parallel finite element unstructured meshes
Intel(R) Machine Learning Scaling Library is a library providing an efficient implementation of communication patterns used in deep learning.
🍇 A C++ library for parallel graph processing 🍇
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The documentation for the function
shmem_waitseems inconsistent with the function signatures as it describes parameterstarget,pe, andvaluethat are actually not part of the interface. The parameterivaris described but at least in the C interface the variable is namedvar(without the prefixi).See https://github.com/open-mpi/ompi/blob/master/oshmem/shmem/man/man3/shmem_wai