P

parallel

Cross-platform GPU computing via OpenCL (works on NVIDIA, AMD, Intel, and Apple GPUs)

CUDA GPU computing via cuBLAS, cuFFT, and CUDA runtime (requires NVIDIA GPU and CUDA toolkit)

Mirror of

https://github.com/Christopher-K-Long/thread-chunks

A Python package for performing memory-intensive computations in parallel using chunks and checkpointing.

https://thread-chunks.readthedocs.io

Drop-in replacement for the famous "Tmux Plugin Manager" (TPM), written in Rust. 🦆

This is a basic, low-level library with pretensions to implementing features above and beyond (but not necessarily better than!) those implemented within the Standard C++ Library and the Boost Library. In particular data-flow based parallelism and a FIX-to Exchange-Protocol message translator that is blindingly fast!

See https://libjmmcg.sourceforge.io/

A cross-platform C++ library combining OOP and FP techniques for seamless asynchronous and parallel development.

Example running Cypress split across N GitLab CI machines without using an external service.

Parallel mysqldump in Python

Xunit でメソッド単位で並行テストをする。

A pipelined-concurrency service that automatically processes video files to be imported for a home movie server. Implemented in Golang.

Очередь параллельного исполнения заданий для php фреймворка yii2

Set of Feature Selection Tools that make use of parallel environments through CUDA, MPI and Threads

Ejercicios, apuntes y practicas de Programación de Arquitecturas Multinúcleo (PAM)

A portable system administration and software automation toolkit

Outflow is a framework that helps you create and execute sequential, parallel as well as distributed task workflows.

A tool to run cypress tests in parallel

Optimized password list based SHA-256 password cracking written in C/C++, OpenCL for GPU

DP3 is an algorithm for distributed and shared-memory parallel Frequent Itemsets Mining.

This is a small class to share a resource with multiple threads safely.

Implementation of a real-time 6D SLAM framework in OpenCL 作者的个人主页：http://nlamprian.me/portfolio/