For the past three years, the AMD library team has been heads down, working on an important project – the Accelerated Parallel Processing Math Library. APPML contains an OpenCL implementation of BLAS and FFT routines. The library enables developers to accelerate common scientific and engineering computations on APUs and discrete graphics accelerators. Under the right conditions, we can accelerate them A LOT. After 6 caffeine-powered releases, I’m proud of the work we accomplished. Along the way, we received numerous requests to participate in the library. We heard you, and we believe that the time is right to take the project to the next level.
It brings me great pleasure to announce that in close collaboration with AccelerEyes, we are opening the source to the APPML project and making it available on GitHub under the name clMath (read more about AccelerEyes comments here: http://www.accelereyes.com/clmath). AccelerEyes engineers are dedicating significant resources for continued development of the clMath library, and we intend for this project to be a focal point for collaboration. With AccelerEyes, we welcome adoption and encourage contributions to the source. We look forward to your voice in this conversation.
The clMath source will be licensed under the Apache License, Version 2.0 http://www.apache.org/licenses/LICENSE-2.0.html. The source also includes our test and performance infrastructure. Our hope is that the community will embrace and improve the existing code, and keep the projects going for years to come!
You will find the new clMath projects at the following URL’s:
and we have also created two mailing lists for the clMath projects to help facilitate communication between users and developers of the libraries respectively:
Both projects compile for Linux and Windows and the associated project wiki pages contain build instructions and other related project documentation; interested developers should make sure to scan through the wiki.
Kent Knox has spent 15 years as a developer at AMD and has served as the technical lead for the APPML and Bolt projects. His postings are his own opinions and may not represent AMD’s positions, strategies or opinions. Links to third party sites, and references to third party trademarks, are provided for convenience and illustrative purposes only. Unless explicitly stated, AMD is not responsible for the contents of such links, and no third party endorsement of AMD or any of its products is implied.