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The MI300 APU: Programming for CPUs and GPUs on a Single Package
DescriptionModern extreme scale computing systems rely on heterogeneous CPU and GPU architectures. While this design has enabled several remarkable achievements in high-performance computing, applications running at exascale have already identified multiple opportunities where this paradigm can be improved; notably, the communication costs, and the complexity of the resultant programming model, incurred by the presence of two isolated memory spaces for CPU and GPU. To address these challenges, AMD has developed the Instinct MI300 APU (Accelerated Processing Unit) architecture, which integrates CPU and GPU processing elements on the same system on a chip (SoC). This talk will discuss programmability advantages, and future possibilities, afforded by the MI300 for Exascale computing, including: the improved simplicity of porting from CPU codes and performance benefits resulting from close integration of CPU and GPU compute elements. These simplifications and improvements are realized in a variety of tools, including the RAJA and Kokkos accelerator abstraction frameworks, a recently developed Standard Parallelism interface to AMD APUs, and automatic offload of libraries.
Event Type
Workshop
TimeMonday, 13 November 202311am - 11:30am MST
Location708
Large Scale Systems
Middleware and System Software
Programming Frameworks and System Software
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