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. Explore AMD heterogeneous computing development tools, SDKs and solutions below or learn more about heterogeneous computing in our resources section.

Tools & SDKs

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

ROCm – The Radeon Open Compute platform delivers on the vision of the Boltzmann Initiative, bringing new opportunities in GPU Computing Research.


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.

GPUOpen – browse the collection of open source libraries on GPUOpen.com


Project Boltzmann HIP Datasheet – It’s HIP to be Open. Convert  your Cuda code to C++ using AMD’s new HIP tool. Learn more. Visit the GPUOpen website.

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