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TZOFFSETFROM:-0700
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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DTSTAMP:20240116T191657Z
LOCATION:506
DTSTART;TZID=America/Denver:20231113T103000
DTEND;TZID=America/Denver:20231113T105000
UID:submissions.supercomputing.org_SC23_sess452_ws_isav111@linklings.com
SUMMARY:Extensions to the SENSEI In situ Framework for Heterogeneous Archi
 tectures
DESCRIPTION:Workshop\n\nBurlen Loring and Gunther H. Webber (Lawrence Berk
 eley National Laboratory (LBNL)); E. Wes Bethel (San Francisco State Unive
 rsity, Lawrence Berkeley National Laboratory (LBNL)); and Michael W. Mahon
 ey (Lawrence Berkeley National Laboratory (LBNL); University of California
 , University of California, Berkeley)\n\nThe presence of GPUs and accelera
 tors in recent super computing\nsystems, so called heterogeneous architect
 ures, has lead to increased\ncomplexity in execution environments and prog
 ramming models\nas well as deeper memory hierarchies on these systems. In 
 this\nwork we discuss challenges that arise in in situ code coupling on\nh
 eterogeneous architectures. We present data and execution model\nextension
 s to the SENSEI in situ framework targeted at effective use\nof systems wi
 th heterogeneous architectures. We use the new data\nand execution model e
 xtensions in SENSEI to investigate a number\nof in situ placement and exec
 ution configurations and analyze the\nimpact these choices have on overall
  performance.\n\nTag: Data Analysis, Visualization, and Storage, Large Sca
 le Systems, Performance Measurement, Modeling, and Tools\n\nRegistration C
 ategory: Workshop Reg Pass\n\nSession Chairs: E. Wes Bethel (San Francisco
  State University, Lawrence Berkeley National Laboratory (LBNL)); Nicola F
 errier (Argonne National Laboratory (ANL), University of Chicago); Axel Hu
 ebl (Lawrence Berkeley National Laboratory (LBNL)); Tom Vierjahn (Westphal
 ian University of Applied Sciences); and Sean Ziegeler (US Department of D
 efense HPC Modernization Program, Department of Defense High Performance C
 omputing Modernization Program (DoD HPCMP))
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