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| author | Mikko Vedru <mikko.vedru@gmail.com> | 2023-05-23 10:09:21 +0300 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-05-23 09:09:21 +0200 |
| commit | 26ceab814f333a69d24cb07ba3231b80e437b453 (patch) | |
| tree | bcbb5798d9f8fd3d364f33e0a70a7d30777b1ec6 | |
| parent | 107beaac172ac1ae1d3f9656e1f97d57eff424ef (diff) | |
Update README.md with a useful link (#476)
* Update README.md with a useful link
* Update README.md
Co-authored-by: Cedric Nugteren <web@cedricnugteren.nl>
---------
Co-authored-by: Cedric Nugteren <web@cedricnugteren.nl>
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -20,7 +20,7 @@ CLBlast: The tuned OpenCL BLAS library 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. +The library is not tuned for all possible OpenCL devices: __if out-of-the-box performance is poor, please run the tuners first__. See [the docs for a list of already tuned devices](doc/tuning.md#already-tuned-for-devices) and [instructions on how to tune yourself](doc/tuning.md) and contribute to future releases of the CLBlast library. Why CLBlast and not clBLAS or cuBLAS? |