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UID:submissions.supercomputing.org_SC24_sess487_post109@linklings.com
SUMMARY:Exploiting Data Compression and Low Precision for Exascale Fusion 
 Turbulence Simulations
DESCRIPTION:Jan Laukemann (University of Erlangen-Nuremberg, Germany; Erla
 ngen National High Performance Computing Center); Felix Jung (Technical Un
 iversity of Munich); Carl-Martin Pfeiler (Max Planck Institute for Plasma 
 Physics); Diego Jimenez (Max Planck Computing and Data Facility); Carsten 
 Clauss (ParTec AG, Germany); Tilman Dannert (Max Planck Computing and Data
  Facility); Frank Jenko (Max Planck Institute for Plasma Physics); Erwin L
 aure (Max Planck Computing and Data Facility); Martin Schulz (Technical Un
 iversity of Munich); and Gerhard Wellein (Erlangen National High Performan
 ce Computing Center)\n\nFuture exascale systems will feature unprecedented
  computing power with over 10^18 FLOPS, provided by thousands of heterogen
 eous computing nodes. To fully harness such potential, applications must s
 cale effectively and efficiently utilize these computing architectures.\n\
 nMany performance losses on large HPC systems originate from inefficiencie
 s in data movement.\nOn exascale systems, the involved data set size also 
 increases, leading to challenges in (a) migrating data through memory hier
 archies, (b) communicating data between distributed memory components, and
  (c) storing data in file systems.\n\nThis poster shows the ongoing effort
  in the DaREXA-F project and its goal to address these issues in the plasm
 a turbulence code GENE, by measures such as (a) mixed precision and the us
 age of novel data formats, (b) data compression, and (c) utilizing new net
 work hardware.\n\nWe present our current findings in the areas of mixed-pr
 ecision and lossy data compression for efficient computation without a red
 uction in accuracy.\n\nRegistration Category: Tech Program Reg Pass, Exhib
 its Reg Pass\n\nSession Chairs: Ayesha Afzal (Friedrich-Alexander Universi
 ty, Erlangen-Nuremberg; Erlangen National High Performance Computing Cente
 r); Sally Ellingson (University of Kentucky); and Alan Sussman (University
  of Maryland)\n\n
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