The porting to run on GPUs continues to get easier with improvements in GPU programming languages and tools. In this presentation, we first look at the wide range of AMD GPU architectures. Then we review the many language options for programming AMD GPUs. AMD is a strong proponent of application portability to run on all types of GPUs and CPUs. The languages covered will be HIP, ROCm, OpenMP, and some portability frameworks. We’ll briefly touch on the many optimized libraries that can be used in GPU applications. We’ll also take a look at the rich set of tools now available for AMD GPU programming.
This online session is open to all. It will use the Blackboard Collaborate platform.