Speaker
Description
This session provides an introduction to the AMD ROCm™ software platform for GPU-accelerated computing on Debian and Ubuntu. It will describe the current state of AMD GPU support for AI and HPC applications, demonstrate methods to build and run applications for AMD GPUs, and clarify some common sources of user confusion. As part of this talk, we will discuss recent community efforts to package the ROCm compute stack, as well as differences between the AMD-provided packages and the distribution-provided packages.
Hardware compatibility will be discussed as a notable point of confusion. We will cover how to determine if a given GPU is officially supported by AMD in a ROCm release, what factors may affect compatibility of unsupported hardware, and alternatives for those with unsupported hardware. We will also examine some of the ways in which the Debian AI Team has improved hardware compatibility in the packages it maintains.
Session author's bio
Cordell has been working for AMD as a developer of the rocSOLVER library since 2020 and has been a volunteer on the Debian AI Team since 2022. He is a software engineer with a master's degree in computer graphics and fifteen years of professional experience in C++.
| Level of Difficulty | Intermediate |
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