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DTSTAMP:20230124T171525Z
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DTSTART;TZID=America/Chicago:20221117T083000
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UID:submissions.supercomputing.org_SC22_sess275_rpost156@linklings.com
SUMMARY:CGYRO Performance on Slingshot-Connected Perlmutter GPU nodes
DESCRIPTION:Posters, Research Posters\n\nCGYRO Performance on Slingshot-Co
 nnected Perlmutter GPU nodes\n\nSfiligoi, Belli, Candy\n\nThe NERSC Perlmu
 tter HPC system is the most recent large-scale US system that is publicly 
 available. NERSC chose to deploy a first phase of its GPU-based nodes in l
 ate 2021 using 2x Slingshot10 connections and has been upgrading them to 4
 x Slinghot11 connections starting in summer 2021. In this poster we provid
 e benchmark numbers for using CGYRO, a popular fusion turbulence simulatio
 n tool, comparing the original and the upgraded network setup. CGYRO has b
 een previously shown to be communication-bound in many recent HPC systems 
 and we show that the upgraded networking provides a significant boost for 
 fusion science.\n\nRegistration Category: Tech Program Reg Pass, Exhibits 
 Reg Pass
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