diff options
| author | Umar Arshad <umar@arrayfire.com> | 2018-05-08 20:24:40 -0400 |
|---|---|---|
| committer | Umar Arshad <umar@arrayfire.com> | 2018-05-08 20:24:40 -0400 |
| commit | 1659ae5432f79ef0bc07e901f3ee9bbe0f39e9a2 (patch) | |
| tree | 1af8f77ce1757941fe5123157f85b2fdf0ad2800 | |
| parent | 8b381480f8bd3b40cc030b07a599da10092b8117 (diff) | |
Update ci links to use doman names and build names instead of IP/id
Updates the README badges to point to the domain name instead of
IP addresses. Also updates the names of the builds to the name
of the build instead of the id of the build.
| -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. |