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DTSTAMP:20260422T000713Z
LOCATION:506
DTSTART;TZID=America/Denver:20231113T113000
DTEND;TZID=America/Denver:20231113T114000
UID:submissions.supercomputing.org_SC23_sess452_ws_isav106@linklings.com
SUMMARY:Unraveling Diffusion in Fusion Plasma:  A Case Study of In Situ Pr
 ocessing and Particle Sorting
DESCRIPTION:Junmin Gu, Paul Lin, and Kesheng Wu (Lawrence Berkeley Nationa
 l Laboratory (LBNL)); Seung-Hoe Ku, C.S. Chang, and R. Michael Churchill (
 Princeton Plasma Physics Laboratory); and John Choi, Norbert Podhorszki, a
 nd Scott Klasky (Oak Ridge National Laboratory (ORNL))\n\nThis work explor
 es a new use case of an in situ processing capability to study a certain d
 iffusion process in magnetic confinement fusion. This diffusion process in
 volves plasma particles that are likely to escape confinement, because suc
 h particles carry a significant amount of energy from the burning plasma t
 o the diverter and damaging the diverter plate. This study requires in sit
 u processing because of the fast changing nature of the particle diffusion
  process. However, the in situ processing approach is challenging because 
 the amount of data to be retained for the diffusion calculations increases
  over time, unlike in other in situ processing cases where the amount of d
 ata to be processed is constant over time. Here we report our preliminary 
 efforts to control the memory usage while ensuring the necessary analysis 
 tasks are completed in a timely manner.\n\nTag: Data Analysis, Visualizati
 on, and Storage, Large Scale Systems, Performance Measurement, Modeling, a
 nd Tools\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: E.
  Wes Bethel (San Francisco State University, Lawrence Berkeley National La
 boratory (LBNL)); Nicola Ferrier (Argonne National Laboratory (ANL), Unive
 rsity of Chicago); Axel Huebl (Lawrence Berkeley National Laboratory (LBNL
 )); Tom Vierjahn (Westphalian University of Applied Sciences); and Sean Zi
 egeler (US Department of Defense HPC Modernization Program, Department of 
 Defense High Performance Computing Modernization Program (DoD HPCMP))\n\n
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