diff options
| author | Cedric Nugteren <web@cedricnugteren.nl> | 2018-05-09 18:56:25 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2018-05-09 18:56:25 +0200 |
| commit | fa4fee4fee9758a5ee7f532f760207de48b2848a (patch) | |
| tree | 1af8f77ce1757941fe5123157f85b2fdf0ad2800 | |
| parent | 8b381480f8bd3b40cc030b07a599da10092b8117 (diff) | |
| parent | 1659ae5432f79ef0bc07e901f3ee9bbe0f39e9a2 (diff) | |
Merge pull request #279 from umar456/ci_links
Update ci links to use doman names and build names instead of IP/id
| -rw-r--r-- | README.md | 6 |
1 files changed, 3 insertions, 3 deletions
@@ -4,9 +4,9 @@ CLBlast: The tuned OpenCL BLAS library | | Build status | Tests on Intel CPU | Tests on NVIDIA GPU | Tests on Intel GPU | |-----|-----|-----|-----|-----| -| Windows | [](https://ci.appveyor.com/project/CNugteren/clblast) | [](http://67.207.87.39:8010/#/builders/106) | [](http://67.207.87.39:8010/#/builders/105) | [](http://67.207.87.39:8010/#/builders/107) | -| Linux | [](https://travis-ci.org/CNugteren/CLBlast/branches) | [](http://67.207.87.39:8010/#/builders/97) | [](http://67.207.87.39:8010/#/builders/98) | N/A | -| OS X | [](https://travis-ci.org/CNugteren/CLBlast/branches) | [](http://67.207.87.39:8010/#/builders/110) | N/A | N/A | +| Windows | [](https://ci.appveyor.com/project/CNugteren/clblast) | [](http://ci.arrayfire.org:8010/#/builders/clblast-windows-intel-i7-4790k) | [](http://ci.arrayfire.org:8010/#/builders/clblast-windows-nvidia-k5000) | [](http://ci.arrayfire.org:8010/#/builders/clblast-windows-intel-HD4600) | +| Linux | [](https://travis-ci.org/CNugteren/CLBlast/branches) | [](http://ci.arrayfire.org:8010/#/builders/clblast-linux-intel-e5-2620-v4) | [](http://ci.arrayfire.org:8010/#/builders/clblast-linux-nvidia-k80) | N/A | +| OS X | [](https://travis-ci.org/CNugteren/CLBlast/branches) | [](http://ci.arrayfire.org:8010/#/builders/clblast-osx-intel-i5-4278U) | 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. |