Top 33 parallel-processing open source projects

A small Java 8 util library, complementary to Guava (BiStream, Substring, MoreStreams, Parallelizer).

Parallel processing with progress bars

🚀 R package: future.apply - Apply Function to Elements in Parallel using Futures

Python Multi-Process Execution Pool: concurrent asynchronous execution pool with custom resource constraints (memory, timeouts, affinity, CPU cores and caching), load balancing and profiling capabilities of the external apps on NUMA architecture

基于注解实现并行地依赖注入（数据聚合），可以看做 Spring Async 注解的升级版

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

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

Text Mining and Topic Modeling Toolkit for Python with parallel processing power

Parallel SSH Tools

STREAM, for lots of devices written in many programming models

Use a yaml file to stitch together commands and bash snippits and run them with a bit of style. Why? Because your bash script should be quiet and shy-like (...and not such a loud mouth).

Assignments and Quizzes submitted by me.

A simple and lightweight Rust library for making iterator pipelines concurrent

Parallel Processing - Matrix Multiplication (Cannon, DNS, LUdecomp)

Mass Parallel Secure Shell command execution

Elixir library providing some handy parallel processing facilities that supports configuring number of workers and timeout.

🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone

Python supercharged for the fastai library

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

100% Vanilla Javascript Multithreading & Parallel Execution Library

Parallel processing for PHP based on Amp.

Directory Tags for Lazy Programmers

An extremely easy way to perform background processing in Java. Backed by persistent storage. Open and free for commercial use.

Efficient Haskell Arrays featuring Parallel computation

Multi-core processing of 'Gameday' data from Major League Baseball Advanced Media. Additional tools to parallelize large data sets and write them to a database.

Deploying a Batch Scoring Pipeline for Python Models

Run MapReduce in user's browser.

🚀 R package future.callr: A Future API for Parallel Processing using 'callr'

Snap Programming Language

Java library for imaging tasks that integrates well with the java.awt.image environment

Run Git commands in all subdirectories really fast

Códigos feitos para o curso de Multithreading com Java, no canal RinaldoDev do YouTube.

Parallel NDJSON Reader for Python