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DTSTAMP:20260422T000713Z
LOCATION:401-402
DTSTART;TZID=America/Denver:20231115T103000
DTEND;TZID=America/Denver:20231115T110000
UID:submissions.supercomputing.org_SC23_sess157_pap317@linklings.com
SUMMARY:Optimizing High-Performance Linpack for Exascale Accelerated Archi
 tectures
DESCRIPTION:Noel Chalmers, Jakub Kurzak, Damon McDougall, and Paul Bauman 
 (Advanced Micro Devices (AMD) Inc)\n\nWe detail the performance optimizati
 ons made in rocHPL, AMD's open-source implementation of the High-Performan
 ce Linpack (HPL) benchmark targeting accelerated node architectures design
 ed for exascale systems such as the Frontier supercomputer. The implementa
 tion leverages the high-throughput GPU accelerators on the node via highly
  optimized linear algebra libraries, as well as the entire CPU socket to p
 erform latency-sensitive factorization phases. We detail novel performance
  improvements such as a multi-threaded approach to computing the panel fac
 torization phase on the CPU, time-sharing of CPU cores between processes o
 n the node, as well as several optimizations which hide MPI communication.
  We present some performance results of this implementation of the HPL ben
 chmark on a single node of the Frontier early access cluster at Oak Ridge 
 National Laboratory, as well as scaling to multiple nodes.\n\nTag: Acceler
 ators, Algorithms, Linear Algebra\n\nRegistration Category: Tech Program R
 eg Pass\n\nAward Finalist: Best Paper Finalist\n\nReproducibility Badges: 
 Artifact Available, Artifact Functional, Results Reproduced\n\nSession Cha
 ir: Hartwig Anzt (Technical University of Munich; University of Tennessee,
  Knoxville)\n\n
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