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Add Channel (thread-safe container) (#1420)
* Add Channel (thread-safe container) * remove space
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@@ -279,6 +279,7 @@ A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny
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* [Async++](https://github.com/Amanieu/asyncplusplus) - A lightweight concurrency framework for C++11, inspired by the Microsoft PPL library and the N3428 C++ standard proposal. [MIT]
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* [Async++](https://github.com/Amanieu/asyncplusplus) - A lightweight concurrency framework for C++11, inspired by the Microsoft PPL library and the N3428 C++ standard proposal. [MIT]
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* [Boost.Compute](https://github.com/boostorg/compute) - A C++ GPU Computing Library for OpenCL. [Boost] [website](https://boost.org/libs/compute)
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* [Boost.Compute](https://github.com/boostorg/compute) - A C++ GPU Computing Library for OpenCL. [Boost] [website](https://boost.org/libs/compute)
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* [Bolt](https://github.com/HSA-Libraries/Bolt) - A C++ template library optimized for GPUs. [Apache2]
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* [Bolt](https://github.com/HSA-Libraries/Bolt) - A C++ template library optimized for GPUs. [Apache2]
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* [Channel](https://github.com/andreiavrammsd/cpp-channel) - Thread-safe container for sharing data between threads. [MIT]
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* [ck](https://github.com/concurrencykit/ck) - Concurrency primitives, safe memory reclamation mechanisms and non-blocking data structures. [BSD]
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* [ck](https://github.com/concurrencykit/ck) - Concurrency primitives, safe memory reclamation mechanisms and non-blocking data structures. [BSD]
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* [concurrentqueue](https://github.com/cameron314/concurrentqueue) - A fast multi-producer, multi-consumer lock-free concurrent queue for C++11. [BSD,Boost]
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* [concurrentqueue](https://github.com/cameron314/concurrentqueue) - A fast multi-producer, multi-consumer lock-free concurrent queue for C++11. [BSD,Boost]
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* [CUB](https://github.com/NVlabs/cub) - CUB provides state-of-the-art, reusable software components for every layer of the CUDA programming mode. [New BSD]
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* [CUB](https://github.com/NVlabs/cub) - CUB provides state-of-the-art, reusable software components for every layer of the CUDA programming mode. [New BSD]
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