thread-pool
Lazy
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| thread-pool | Lazy | |
|---|---|---|
| 12 | 5 | |
| 358 | 109 | |
| - | - | |
| 6.8 | 2.6 | |
| 8 days ago | 4 months ago | |
| C++ | C++ | |
| MIT License | The Unlicense |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
thread-pool
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C++ Show and Tell - June 2023
I just released version 0.6.0 of my C++20 thread_pool library.
- I've added benchmarks to my C++20 work stealing thread pool implementation
- Show HN: A modern, high performance C++ thread pool
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C++ Show and Tell - November 2022
Release link: https://github.com/DeveloperPaul123/thread-pool/releases/tag/0.5.1
- Work stealing thread pool built with C++20
- how to make project ultra "modern"?
- A performant C++20 thread pool with no external dependencies
- A fast, single queue thread pool created with C++20
- [C++] A simple, performant thread pool written using C++20
Lazy
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A fast, single queue thread pool created with C++20
Benchmarks is indeed a good question. Here is a C++17-style library for parallel function calls which avoids std::{function, future, promise} and uses disposable threads for running the functions. I have run a few benchmarks against a typical thread pool which uses a mutex and a condition variable and a vector of threads.
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for_each with plain integers
You might consider using this header-only library.
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Does Execution Policy in std::transform in gcc have any effect?
Using Lazy the simple header-only parallel library found here in Github.
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Therads in Cpp
Unless you really want to play with "raw" C++ threads, you may be able to completely avoid them by using a library like this one. See the simple examples on the main page and check if they would suit your application.
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How to force your code to use all CPU cores? In an efficient manner.
This header-only library might come in handy when experimenting with parallel functions. You can run any number of functions in parallel and gather the results conveniently. Take a look at the examples on the main page in Github and see if you find them useful.
What are some alternatives?
thread-pool - BS::thread_pool: a fast, lightweight, and easy-to-use C++17 thread pool library
oneTBB - oneAPI Threading Building Blocks (oneTBB)
CUB - THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.
moodycamel - A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
TDP - The Darkest Pipeline - Multithreaded pipelines for modern C++
Simple-Iterator - Simple to use iterator_interface for several iterator categories
not-enough-standards - A modern header-only C++ library that provides platform-independent utilities.
cpp-concurrency - C++ Concurrency Tests and Examples
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
parallel-cellular-automata - Framework for building parallel cellular automata in C++. In it you can also find a work-stealing threadpool and a reusable barrier that you can use in other projects.