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DTSTART;TZID=America/Denver:20231113T110000
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UID:submissions.supercomputing.org_SC23_sess451_misc232@linklings.com
SUMMARY:The MI300 APU:  Programming for CPUs and GPUs on a Single Package
DESCRIPTION:Nicholas Malaya (Advanced Micro Devices (AMD) Inc)\n\nModern e
 xtreme scale computing systems rely on heterogeneous CPU and GPU architect
 ures. While this design has enabled several remarkable achievements in hig
 h-performance computing, applications running at exascale have already ide
 ntified multiple opportunities where this paradigm can be improved; notabl
 y, the communication costs, and the complexity of the resultant programmin
 g model, incurred by the presence of two isolated memory spaces for CPU an
 d GPU. To address these challenges, AMD has developed the Instinct MI300 A
 PU (Accelerated Processing Unit) architecture, which integrates CPU and GP
 U processing elements on the same system on a chip (SoC). This talk will d
 iscuss programmability advantages, and future possibilities, afforded by t
 he MI300 for Exascale computing, including: the improved simplicity of por
 ting from CPU codes and performance benefits resulting from close integrat
 ion of CPU and GPU compute elements. These simplifications and improvement
 s are realized in a variety of tools, including the RAJA and Kokkos accele
 rator abstraction frameworks, a recently developed Standard Parallelism in
 terface to AMD APUs, and automatic offload of libraries.\n\nTag: Large Sca
 le Systems, Middleware and System Software, Programming Frameworks and Sys
 tem Software\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs
 : Dhabaleswar K. (DK) Panda (The Ohio State University), Karl Schulz (Adva
 nced Micro Devices (AMD) Inc), Aamir Shafi (The Ohio State University), an
 d Hari Subramoni (The Ohio State University)\n\n
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