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author | Cedric Nugteren <web@cedricnugteren.nl> | 2018-03-10 16:49:36 +0100 |
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committer | Cedric Nugteren <web@cedricnugteren.nl> | 2018-03-10 16:49:36 +0100 |
commit | 86455841d1027e56ea4fee7d93ee42a95894db4d (patch) | |
tree | 279ae568c7821ee8fb8767f71910c1508edfc9ab /README.md | |
parent | 269bddbf34e5cad00f3845d1a68974420997a040 (diff) |
Added badge for OSX-Intel-CPU builds
Diffstat (limited to 'README.md')
-rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -6,7 +6,7 @@ CLBlast: The tuned OpenCL BLAS library |-----|-----|-----|-----|-----| | Windows | [![Build Status](https://ci.appveyor.com/api/projects/status/github/cnugteren/clblast?branch=master&svg=true)](https://ci.appveyor.com/project/CNugteren/clblast) | N/A | N/A | N/A | | Linux | [![Build Status](https://travis-ci.org/CNugteren/CLBlast.svg?branch=master)](https://travis-ci.org/CNugteren/CLBlast/branches) | [![Build Status](http://67.207.87.39:8010/badges/clblast-linux-intel-e5-2620-v4.svg)](http://67.207.87.39:8010/#/builders/97) | [![Build Status](http://67.207.87.39:8010/badges/clblast-linux-nvidia-k80.svg)](http://67.207.87.39:8010/#/builders/98) | [![Build Status](http://67.207.87.39:8010/badges/clblast-linux-amd-w9100.svg)](http://67.207.87.39:8010/#/builders/96) | -| OS X | [![Build Status](https://travis-ci.org/CNugteren/CLBlast.svg?branch=master)](https://travis-ci.org/CNugteren/CLBlast/branches) | N/A | N/A | N/A | +| OS X | [![Build Status](https://travis-ci.org/CNugteren/CLBlast.svg?branch=master)](https://travis-ci.org/CNugteren/CLBlast/branches) | [![Build Status](http://67.207.87.39:8010/badges/clblast-osx-intel-e5-2620-v4.svg)](http://67.207.87.39:8010/#/builders/101) | N/A | N/A | 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. |