Heterogeneous Computing Tools

Heterogeneous computing refers to systems that use more than one kind of processor. Heterogeneous systems architecture or HSA creates an improved processor design that exposes the benefits and capabilities of mainstream programmable compute elements. Learn more about heterogeneous computing in our resources section.

Tools & SDKs

CodeXL — AMD CodeXL is a comprehensive tool suite that enables developers to harness the benefits of AMD CPUs, GPUs and APUs.blank

APP SDK — The APP SDK is a complete development platform to allow you to quickly and easily develop applications that are accelerated using OpenCL™. This SDK works with AMD heterogeneous computing technologies (AMD APUs or GPUs).

Legacy Heterogeneous Computing Tools — These tools have reached end of life and are no longer supported, but they, and the supporting documentation, are still available for download if you need them.

Libraries

Aparapi — This API converts Java bytecode to OpenCL at runtime and executes it on the GPU. If Aparapi can’t execute on the GPU, it will execute in a Java thread pool.

clMath (Formerly APPML) — These math libraries contain FFT and BLAS functions. They primarily target AMD GPUs & APUs but support CPUs as well to facilitate debugging and heterogeneous programming.

Bolt — Bolt provides an STL compatible library of high level constructs for creating accelerated data parallel applications. Bolt includes an array of Bolt capabilities by including support for common compute-optimized routines including sort, scan, transform, and reduce operations. In its open-source debut, Bolt supports C++ AMP in addition to OpenCL™ as underlying supported compute technologies.

GPUPerfAPI — GPUPerfAPI is a library that can be integrated directly into your own graphics or compute application for accessing GPU performance counters. It requires AMD Radeon™ HDseries graphic cards.

Resources

Everything  you Always Wanted to Know about HSA (But Were Afraid to Ask) - Whitepaper, by Nathan Brookwood, Research Fellow, Insight 64

HSA: A New Architecture for Heterogeneous Computing - Whitepaper/Research by Tirias Research, Sponsored by AMD

So all in all the announcement of AMD’s CodeXL tool is a major step forward for AMD’s software developer initiatives. CodeXL brings the CPU side and GPU side of AMD hardware base under the same roof for the purposes of code profiling and debugging, and does it in a multi-platform conscious manner. To AMD’s credit, in the year since the inaugural AFDS,they’ve really started to build a truly meaningful software ecosystem around their APUs; and CodeXL isanother integral part of that initiative. — Thomas Ryan, SemiAccurate