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README.md

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![](image/performance.jpg)
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Cpp-Taskflow enables you to implement efficient task decomposition strategies
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that incorporate both regular loop-based parallelism
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and irregular compute patterns to optimize multicore performance.
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Cpp-Taskflow lets you quickly implement task decomposition strategies
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that incorporate both regular and irregular compute patterns,
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together with an efficient *work-stealing* scheduler to optimize your multithreaded performance.
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| Without Cpp-Taskflow | With Cpp-Taskflow |
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| -------------------- | ----------------- |
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![](image/timeline.png)
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Cpp-Taskflow is committed to support both academic and industry research projects,
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making it reliable and cost-effective for long-term and large-scale developments.
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Cpp-Taskflow is part of the [DARPA IDEA research program][DARPA IDEA].
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We are committed to support trustworthy developments
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for both academic and industrial research projects in parallel computing.
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+ *"Cpp-Taskflow is the cleanest Task API I've ever seen." [damienhocking][damienhocking]*
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+ *"Cpp-Taskflow has a very simple and elegant tasking interface. The performance also scales very well." [totalgee][totalgee]*
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+ *"Best poster award for open-source parallel programming library." [Cpp Conference 2018][Cpp Conference 2018]*
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See a quick [presentation][Presentation] and
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visit the [documentation][wiki] to learn more about Cpp-Taskflow.
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Technical details can be referred to our [IEEE IPDPS19 paper][IPDPS19].
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# Table of Contents
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[email me]: mailto:[email protected]
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[Cpp Conference 2018]: https://github.com/CppCon/CppCon2018
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[ChromeTracing]: https://www.chromium.org/developers/how-tos/trace-event-profiling-tool
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[IPDPS19]: docs/reference/ipdps19.pdf
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[WorkStealing Wiki]: https://en.wikipedia.org/wiki/Work_stealing
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[std::invoke]: https://en.cppreference.com/w/cpp/utility/functional/invoke
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[std::future]: https://en.cppreference.com/w/cpp/thread/future

awesome-parallel-computing.md

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# Awesome Parallel Computing Resources <img align="right" width="20%" src="image/parallel-computing.jpg">
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A curated list of awesome parallel computing resources.
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## Contributing
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A curated list of awesome parallel computing resources.
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Please feel free to update this page through [submitting pull requests][GitHub pull requests] or
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[emailing me][email me].
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