oneAPI Deep Neural Network Library (oneDNN)

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

Extended Memory Semantics - Persistent shared object memory and parallelism for Node.js and 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.

stdgpu: Efficient STL-like Data Structures on the GPU

Armadillo: fast C++ library for linear algebra & scientific computing - http://arma.sourceforge.net

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

C++ library for solving large sparse linear systems with algebraic multigrid method

High-performance stateful serverless runtime based on WebAssembly

A C++ header-only library of statistical distribution functions.

This is a set of simple programs that can be used to explore the features of a parallel platform.

A state-of-the-art multithreading runtime: message-passing based, fast, scalable, ultra-low overhead

Dive into machine learning system, start from reinventing the wheel.

🔬 Assemble large genomes using short reads

JIT Compilation for Multiple Architectures: C++, OpenMP, CUDA, HIP, OpenCL, Metal

🚀 Fast prime counting function implementations

The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers

fast raw decoding library

GAP Benchmark Suite

Crack legacy zip encryption with Biham and Kocher's known plaintext attack.

⚡️⚡️⚡️Blazing fast correlation functions on the CPU.

Ytk-mp4j is a fast, user-friendly, cross-platform, multi-process, multi-thread collective message passing java library which includes gather, scatter, allgather, reduce-scatter, broadcast, reduce, allreduce communications for distributed machine learning.

STREAM, for lots of devices written in many programming models

Fast inference engine for OpenNMT models

R package for analyzing and interactively exploring large single-cell RNA-seq datasets

Header only framework for data analysis in massively parallel platforms.

A C++ library to compute neighborhood information for point clouds within a fixed radius. Suitable for many applications, e.g. neighborhood search for SPH fluid simulations.

Efficient monocular visual odometry for ground vehicles on ARM processors

A collection of code examples as well as presentations for training purposes

Simplex mesh adaptivity for HPC