Added marl into Concurrency section

#945
This commit is contained in:
Alex Gomes
2020-03-08 16:41:36 -04:00
committed by GitHub
parent c976dacdb6
commit 619b9c9a67

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@@ -259,6 +259,7 @@ A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny
* [libdill](https://github.com/sustrik/libdill/) - Introduces structured concurrency in C. [MIT] * [libdill](https://github.com/sustrik/libdill/) - Introduces structured concurrency in C. [MIT]
* [libdispatch](https://github.com/apple/swift-corelibs-libdispatch) - Grand Central Dispatch (GCD), developed by Apple Inc., is a task parallelism technology based on the thread pool pattern. libdispatch is a library that provides the implementation of GCD's services. [Apache-2.0] [website](https://apple.github.io/swift-corelibs-libdispatch/) * [libdispatch](https://github.com/apple/swift-corelibs-libdispatch) - Grand Central Dispatch (GCD), developed by Apple Inc., is a task parallelism technology based on the thread pool pattern. libdispatch is a library that provides the implementation of GCD's services. [Apache-2.0] [website](https://apple.github.io/swift-corelibs-libdispatch/)
* [libmill](https://github.com/sustrik/libmill/) - Introduces Go-style concurrency in C. [MIT] * [libmill](https://github.com/sustrik/libmill/) - Introduces Go-style concurrency in C. [MIT]
* [marl](https://github.com/google/marl) - Marl is a hybrid thread / fiber task scheduler written in C++ 11. [Apache-2.0]
* [moderngpu](https://github.com/moderngpu/moderngpu) - moderngpu is a productivity library for general-purpose computing on GPUs. It is a header-only C++ library written for CUDA. The unique value of the library is in its accelerated primitives for solving irregularly parallel problems. [FreeBSD & Copyright, Sean Baxter] * [moderngpu](https://github.com/moderngpu/moderngpu) - moderngpu is a productivity library for general-purpose computing on GPUs. It is a header-only C++ library written for CUDA. The unique value of the library is in its accelerated primitives for solving irregularly parallel problems. [FreeBSD & Copyright, Sean Baxter]
* [NCCL](https://github.com/NVIDIA/nccl) - Optimized primitives for collective multi-GPU communication. [BSD] * [NCCL](https://github.com/NVIDIA/nccl) - Optimized primitives for collective multi-GPU communication. [BSD]
* [OpenCL](https://www.khronos.org/opencl/) - The open standard for parallel programming of heterogeneous systems. * [OpenCL](https://www.khronos.org/opencl/) - The open standard for parallel programming of heterogeneous systems.