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DTSTART;TZID=America/Chicago:20251116T140000
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UID:submissions.supercomputing.org_SC25_sess206_ws_exampi109@linklings.com
SUMMARY:Scaling All-to-All Operations Across Emerging Many-Core Supercompu
 ters
DESCRIPTION:Shannon Kinkead (Sandia National Laboratories, University of N
 ew Mexico); Jackson Wesley (University of New Mexico); Whit Schonbein (San
 dia National Laboratories); David DeBonis (Los Alamos National Laboratory 
 (LANL)); Matthew Dosanjh (Sandia National Laboratories); and Amanda Bienz 
 (University of New Mexico)\n\nPerformant all-to-all collective operations 
 in MPI are critical to fast Fourier transforms, transposition, and machine
  learning applications. There are many existing implementations for all-to
 -all exchanges on emerging systems, with the achieved performance dependen
 t on many factors, including message size, process count, architecture, an
 d parallel system partition. This paper presents novel all-to-all algorith
 ms for emerging many-core systems. Further, the paper presents a performan
 ce analysis against existing algorithms and system MPI, with novel algorit
 hms achieving up to 3x speedup over system MPI at 32 nodes of state-of-the
 -art Sapphire Rapids systems.\n\nRecording: Livestreamed, Recorded\n\nRegi
 stration Category: Technical Program Reg Pass, Workshop Reg Pass\n\nSessio
 n Chairs: Matthew G. F. Dosanjh (Sandia National Laboratories); William Sc
 honbein (Sandia National Laboratories); Amanda J. Bienz (University of New
  Mexico); and Joseph Schuchart (Stony Brook University, Institute for Adva
 nced Computational Science (IACS))\n\n
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