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authorCedric Nugteren <web@cedricnugteren.nl>2018-03-03 13:12:09 +0100
committerCedric Nugteren <web@cedricnugteren.nl>2018-03-03 13:12:09 +0100
commit269bddbf34e5cad00f3845d1a68974420997a040 (patch)
treef5d1922d1996b36278ed4e448b83f3517f1ce7bd /README.md
parent1aef354577723eb4a097a047a760ceaa101cd74a (diff)
Fixed the buildbot badges in the README
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CLBlast: The tuned OpenCL BLAS library
================
-| | Build status | Tests on Intel GPU | Tests on NVIDIA GPU | Tests on AMD GPU |
+| | Build status | Tests on Intel CPU | Tests on NVIDIA GPU | Tests on AMD GPU |
|-----|-----|-----|-----|-----|
| 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/#/builders/97)](http://67.207.87.39:8010/badges/clblast-linux-intel-e5-2620-v4.svg) | [![Build Status](http://67.207.87.39:8010/#/builders/98)](http://67.207.87.39:8010/badges/clblast-linux-nvidia-k80.svg) | [![Build Status](http://67.207.87.39:8010/#/builders/96)](http://67.207.87.39:8010/badges/clblast-linux-amd-w9100.svg) |
+| 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 |
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.