There are 31 repositories under multi-threading topic.
A modern replacement for Redis and Memcached
The Forge Cross-Platform Framework PC Windows, Steamdeck (native), Ray Tracing, macOS / iOS, Android, XBOX, PS4, PS5, Switch, Quest 2
C++14 lock-free queue.
Persistent dict, backed by sqlite3 and pickle, multithread-safe.
Thread pool implementation using c++11 threads
🎏 Simple showcases of java concurrency problems, seeing 🙈 is believing 🐵
A multi-platform support c++11 library with focus on asio (asynchronous socket I/O) for any client applications.
RingoJS is a JavaScript platform built on the JVM and optimized for server-side applications.
⚡️ Fast async task based Swift framework with focus on type safety, concurrency and multi threading
Efficient and parallel algorithms for point cloud registration [C++, Python]
Fast multi-thread FEC simulator & library of efficient digital communication algorithms for SDR.
taskflow是一款轻量、简单易用、可灵活扩展的通用任务编排框架,基于有向无环图(DAG)的方式实现,框架提供了组件复用、同步/异步编排、条件判断、分支选择等能力,可以根据不同的业务场景对任意的业务流程进行编排
oj! Algorithms
An powerful download library for Android.
Cross-platform Total Commander-like orthodox file manager for Windows, Mac and Linux
Portable (POSIX/Windows/Emscripten) thread pool for C/C++
Database connections for multi-threaded environments
⚡ Multithreading functions in JavaScript. Designed to feel like writing vanilla functions.
🕷 A lightning fast multithreaded network scanner framework with modules.
Lightweight toolset for creating concurrent networking systems for multiplayer games
a multi-browser download manager with multi-threading support
Blazing fast admin panel finder with asyncio and aiohttp
A small, portable and extensible game framework written in Rust.
Blazing fast memory allocator designed for video games meets .NET
Portable Cooperative Multi-tasking Scheduler for Arduino
Header only read/write wrapper to combine mutexes with locks.
SQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.