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Diffstat (limited to 'README.md')
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1 files changed, 6 insertions, 22 deletions
@@ -5,8 +5,8 @@ CLBlast: The tuned OpenCL BLAS library | Platform | Build status | |-----|-----| | Windows | [](https://ci.appveyor.com/project/CNugteren/clblast) | -| Linux | [](https://travis-ci.org/CNugteren/CLBlast/branches) | -| OS X | [](https://travis-ci.org/CNugteren/CLBlast/branches) | +| Linux/macOS | [](https://github.com/CNugteren/CLBlast/actions/workflows/build_and_test.yml) | + | Test machine (thanks to [ArrayFire](https://ci.arrayfire.org:8010/#/builders)) | Test status | |-----|-----| @@ -18,9 +18,9 @@ CLBlast: The tuned OpenCL BLAS library | clblast-windows-amd-r9 | [](http://ci.arrayfire.org:8010/#/builders/clblast-windows-amd-r9) | | clblast-windows-nvidia-m6000 | [](http://ci.arrayfire.org:8010/#/builders/clblast-windows-nvidia-m6000) | -CLBlast is a modern, lightweight, performant and tunable OpenCL BLAS library written in C++11. It is designed to leverage the full performance potential of a wide variety of OpenCL devices from different vendors, including desktop and laptop GPUs, embedded GPUs, and other accelerators. CLBlast implements BLAS routines: basic linear algebra subprograms operating on vectors and matrices. See [the CLBlast website](https://cnugteren.github.io/clblast) for performance reports on various devices as well as the latest CLBlast news. +CLBlast is a lightweight, performant and tunable OpenCL BLAS library written in C++11. It is designed to leverage the full performance potential of a wide variety of OpenCL devices from different vendors, including desktop and laptop GPUs, embedded GPUs, and other accelerators. CLBlast implements BLAS routines: basic linear algebra subprograms operating on vectors and matrices. See [the CLBlast website](https://cnugteren.github.io/clblast) for performance reports on some devices. -The library is not tuned for all possible OpenCL devices: __if out-of-the-box performance is poor, please run the tuners first__. See below for a list of already tuned devices and instructions on how to tune yourself and contribute to future releases of the CLBlast library. See also the [CLBlast feature roadmap](ROADMAP.md) to get an indication of the future of CLBlast. +The library is not tuned for all possible OpenCL devices: __if out-of-the-box performance is poor, please run the tuners first__. See below for a list of already tuned devices and instructions on how to tune yourself and contribute to future releases of the CLBlast library. Why CLBlast and not clBLAS or cuBLAS? @@ -101,8 +101,6 @@ Known performance related issues: * Severe performance issues with Beignet v1.3.0 due to missing support for local memory. Please downgrade to v1.2.1 or upgrade to v1.3.1 or newer. -* Performance issues on Qualcomm Adreno GPUs. - Other known issues: * Routines returning an integer are currently not properly tested for half-precision FP16: IHAMAX/IHAMIN/IHMAX/IHMIN @@ -123,21 +121,7 @@ Contributing Contributions are welcome in the form of tuning results for OpenCL devices previously untested or pull requests. See [the contributing guidelines](CONTRIBUTING.md) for more details. -The main contributing authors (code, pull requests, testing) are: - -* [Cedric Nugteren](http://cnugteren.github.io) - main author -* [Anton Lokhmotov](https://github.com/psyhtest) -* [Dragan Djuric](https://github.com/blueberry) -* [Marco Hutter](http://marco-hutter.de/) -* [Hugh Perkins](https://github.com/hughperkins) -* [Gian-Carlo Pascutto](https://github.com/gcp) -* [Ivan Shapovalov](https://github.com/intelfx) -* [Dimitri Van Assche](https://github.com/dvasschemacq) -* [Shehzan Mohammed](https://shehzan10.github.io) -* [Marco Cianfriglia](https://github.com/mcian) -* [Kodonnell](https://github.com/kodonnell) -* [Koichi Akabe](https://github.com/vbkaisetsu) -* Everyone else listed as a [GitHub contributor](https://github.com/CNugteren/CLBlast/graphs/contributors) +The main contributing authors (code, pull requests, testing) can be found in the list of[GitHub contributors](https://github.com/CNugteren/CLBlast/graphs/contributors). Tuning and testing on a variety of OpenCL devices was made possible by: @@ -174,4 +158,4 @@ How to cite this work: Support us ------------- -This project started in March 2015 as an evenings and weekends free-time project next to a full-time job for Cedric Nugteren. If you are in the position to support the project by OpenCL-hardware donations or otherwise, please find contact information on the [website of the main author](http://cnugteren.github.io). +This project started in March 2015 as an evenings and weekends free-time project next to a full-time job for Cedric Nugteren. You can find contact information on the [website of the main author](http://cnugteren.github.io). |