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| author | Cedric Nugteren <web@cedricnugteren.nl> | 2017-10-20 18:21:31 +0200 |
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| committer | Cedric Nugteren <web@cedricnugteren.nl> | 2017-10-20 18:21:31 +0200 |
| commit | 5fd1f2fc609a771d852cad1bd4ad4f02489016a5 (patch) | |
| tree | 5a19646ffc91684ac5c629114395f55e470d2c06 /README.md | |
| parent | 472f90501ce5ed11ca3e1fe7e1f7004abe2162e9 (diff) | |
Added first version of a roadmap
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -10,7 +10,7 @@ CLBlast: The tuned OpenCL BLAS library 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. -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 below for a list of already tuned devices and instructions on how to tune yourself and contribute to future releases of the CLBlast library. See also the [CLBlast feature roadmap](ROADMAP.md) to get an indication of the future of CLBlast. Why CLBlast and not clBLAS or cuBLAS? |