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DTSTAMP:20250626T233532Z
LOCATION:B302-B305
DTSTART;TZID=America/New_York:20241121T100000
DTEND;TZID=America/New_York:20241121T170000
UID:submissions.supercomputing.org_SC24_sess534_post112@linklings.com
SUMMARY:Characterizing the Performance of the GENE-X Code for Gyrokinetic 
 Turbulence Simulations
DESCRIPTION:Jordy Trilaksono (Max Planck Institute for Plasma Physics, Tok
 amak Theory Division); Jeremy Johnathan Williams (KTH Royal Institute of T
 echnology); Philipp Ulbl (Max Planck Institute for Plasma Physics, Tokamak
  Theory Division); Tilman Dannert and Erwin Laure (Max Planck Computing an
 d Data Facility); Stefano Markidis (KTH Royal Institute of Technology); an
 d Frank Jenko (Max Planck Institute for Plasma Physics, Tokamak Theory Div
 ision)\n\nSimulating plasma turbulence in the edge region of a magnetic co
 nfinement fusion (MCF) device is crucial for identifying optimal operation
 al scenarios for future fusion energy commercialization. GENE-X, an Euleri
 an electromagnetic gyrokinetic code, can simulate plasma turbulence throug
 hout an MCF device, including the edge region. This work focuses on charac
 terizing GENE-X's performance, such as the elapsed time during the time in
 tegration phase, memory usage, and file I/O. Two cases with different MPI 
 decomposition schemes are analyzed using GENE-X's built-in profiler, along
  with profiling and monitoring tools such as IPM and Darshan. This study a
 ims to provide a preliminary view of the HPC characteristics of the code t
 o assist in future optimization efforts.\n\nRegistration Category: Tech Pr
 ogram Reg Pass, Exhibits Reg Pass\n\nSession Chairs: Ayesha Afzal (Friedri
 ch-Alexander University, Erlangen-Nuremberg; Erlangen National High Perfor
 mance Computing Center); Sally Ellingson (University of Kentucky); and Ala
 n Sussman (University of Maryland)\n\n
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