CUDA Core Compute Libraries

OpenCL integration for Python, plus shiny features

Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization

NetworKit is a growing open-source toolkit for large-scale network analysis.

This is a list of useful libraries and resources for CUDA development.

the fastest in-memory index in the East 东半球最快并发索引

FastFlow pattern-based parallel programming framework (formerly on sourceforge)

ScaLAPACK development repository

Shape Aware Parallel Mesh Simplification Algorithm

A novel parallel UCT algorithm with linear speedup and negligible performance loss.

Header only framework for data analysis in massively parallel platforms.

Theoretically Efficient and Practical Parallel DBSCAN

Modern library for bulk-synchronous parallel programs.

Quad/octree building for FMMs in Python and OpenCL

Super Fast 🔥 File Downloader 🚀 (parallels connections)

This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).

Parallel map, reduce and more using coroutines in Kotlin.

Numerical methods for edge and scrape-off layer blob and turbulence simulations. Homepage:

CMU 15-618 Final Project - Parallel Panorama

Basic tutorial for ESMPy Python package

World's fastest GPU-accelerated radial Fast Fourier Transform

A Tabu Search pseudo-parallel algorithm for the Vehicle Routing Problem

Parallel computing implementation examples

An algorithmic framework for parallel dual decomposition methods in Julia

coursera

Fast MSER and other comparison MSER algorithms

:coffee:Parallel programming course at Peking University

A parallelised implementation of the K-means clustering algorithm using C Pthreads and separately using OpenMP specification for C

Code for paper "Locally Distributed Deep Learning Inference on Edge Device Clusters"

Data partitioning toolbox for tomographic reconstruction