There are 9 repositories under thread-pool topic.
:fire: Android developers should collect the following utils(updating).
📌 a missing Java std lib(simple & 0-dependency) for framework/middleware, provide an enhanced InheritableThreadLocal that transmits values between threads even using thread pooling components.
🧵 Make web workers & worker threads as simple as a function call.
BS::thread_pool: a fast, lightweight, and easy-to-use C++17 thread pool library
A generic cross-platform C library that includes many commonly used components and frameworks, and a new scripting language interpreter. It currently supports C99 and Aspect-Oriented Programming (AOP).
Thread pool implementation using c++11 threads
based on C++11 , a mini threadpool , accept variable number of parameters 基于C++11的线程池,简洁且可以带任意多的参数
:cactus:《实战java高并发程序设计》源码整理
Java 并发编程知识梳理以及常见处理模式 features and patterns
A very simple thread pool for parallel task execution
A modern, fast, lightweight thread pool library based on C++20
Java Concurrency/Multithreading Tutorial with Examples for Dummies
A modern header-only C++ library that provides platform-independent utilities.
A Java componentized distributed crawler framework. 一个Java版本的组件化的分布式通用爬虫
Execution primitives for C++
干净的springboot-netty,google protocol buffer,根目录下我给你放了一本《Netty实战(精髓)》,test下关于同步回调和异步回调、JUC和NIO(RPC我也加进来了)的一些讲解的方法代码
A fastest, exception-safety and pure C++17 thread pool.
Offers an comprehensive and efficient thread pool with granular work control, flexible concurrency, and robust error handling, alongside an easy-to-use API for diverse task submissions.
Shape Aware Parallel Mesh Simplification Algorithm
An experiment in controlling the size of a thread pool using a PID controller.
Practical multithreading tutorials. Languages supported: C++, Java, C#, Python, Javascript/Nodejs.
Light-weight header-only library for parallel function calls and continuations in C++ based on Eric Niebler's talk at CppCon 2019.
A C++14 Task Manager / Scheduler
A spider on Dcard. Strong and speedy.
Modern C++ made easy
:horse: Distribute load on front-end via parallelism