From 26ceab814f333a69d24cb07ba3231b80e437b453 Mon Sep 17 00:00:00 2001 From: Mikko Vedru Date: Tue, 23 May 2023 10:09:21 +0300 Subject: Update README.md with a useful link (#476) * Update README.md with a useful link * Update README.md Co-authored-by: Cedric Nugteren --------- Co-authored-by: Cedric Nugteren --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a1ff2791..c7826f2e 100644 --- a/README.md +++ b/README.md @@ -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? -- cgit v1.2.3