Parallel Computing GitHub Repositories (2026) · Open Source Tools

Write Java. Run on GPUs. Fast.

Lightweight, general, scalable C++ library for finite element methods

Netgen/NGSolve is a high performance multiphysics finite element software. It is widely used to analyze models from solid mechanics, fluid dynamics and electromagnetics. Due to its flexible Python interface new physical equations and solution algorithms can be implemented easily.

A framework for high-performance medical image processing, neural network inference and visualization

Computing with Python functions.

Programmable CUDA/C++ GPU Graph Analytics

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

RAJA Performance Portability Layer (C++)

Parallel programming with Python

A flyweight in situ visualization and analysis runtime for multi-physics HPC simulations

The Charm++ parallel programming system. Visit https://charmplusplus.org/ for more information.

Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.

CS infrastructure components for HPC applications

PSyclone is a source-to-source Fortran compiler designed to programmatically optimise, parallelise and instrument HPC applications via user-provided transformation scripts.

Clojask is a Clojure data processing framework with parallel computing on larger-than-memory datasets

High-performance C++20 + Python engine for dynamic and incremental graph analytics on evolving graphs — BFS, SSSP, connected components, triangles, k-core and PageRank.

:gem: Feel++: Finite Element Embedded Language and Library in C++