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DTSTART;TZID=America/Denver:20231113T090000
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UID:submissions.supercomputing.org_SC23_sess452@linklings.com
SUMMARY:ISAV23: In Situ Infrastructures for Enabling Extreme-Scale Analysi
 s and Visualization
DESCRIPTION:Trigger Smart Data Saving Applied to CO2 Capture in Metal-Orga
 nic Frameworks\n\nFacing the need for carbon emission reduction, processes
  such as CO2 capture in nanoporous Metal-Organic Frameworks (MOFs) have em
 erged. However, such processes still need to be improved, by understanding
  the dynamic properties of CO2 molecules when confined in MOF nanopores. T
 o do so, molecular dyn...\n\n\nEstelle Dirand, Ali Asad, and Yann Magnin (
 TotalEnergies SE)\n---------------------\nISAV23 Invited Keynote – Progres
 s in In-Situ Analysis and Visualization in the Fusion Exascale Code XGC\n\
 nExascale computers are becoming a playground for scientific discovery. Us
 ing the extreme-scale kinetic fusion PIC code XGC as a proxy, this present
 ation will demonstrate the challenges and opportunities of in situ analysi
 s, reduction, and visualization in our high-performance computing ecosyste
 m, wi...\n\n\nChoongseok Chang (Princeton Plasma Physics Laboratory, Princ
 eton University); Scott Klasky, David Pugmire, Jong Youl Choi, and Ana Gai
 naru (Oak Ridge National Laboratory (ORNL)); and John K Wu and Junmin Gu (
 Lawrence Berkeley National Laboratory (LBNL))\n---------------------\nISAV
 23 – Introduction\n\nIntroduction to the ISAV23 workshop and presentations
 .\n\n\nSean Ziegeler (US Department of Defense HPC Modernization Program /
  GDIT)\n---------------------\nExtensions to the SENSEI In situ Framework 
 for Heterogeneous Architectures\n\nThe presence of GPUs and accelerators i
 n recent super computing\nsystems, so called heterogeneous architectures, 
 has lead to increased\ncomplexity in execution environments and programmin
 g models\nas well as deeper memory hierarchies on these systems. In this\n
 work we discuss challenges that arise in in...\n\n\nBurlen Loring and Gunt
 her H. Webber (Lawrence Berkeley National Laboratory (LBNL)); E. Wes Bethe
 l (San Francisco State University, Lawrence Berkeley National Laboratory (
 LBNL)); and Michael W. Mahoney (Lawrence Berkeley National Laboratory (LBN
 L); University of California, University of California, Berkeley)\n-------
 --------------\nISAV23 – Morning Break\n---------------------\nToward a Sc
 alable In Situ Fast Fourier Transform\n\nThe Fast Fourier Transform (FFT) 
 is a numerical operation that transforms a function into a form comprised 
 of its constituent frequencies and is an integral part of scientific compu
 tation and data analysis. The objective of our work is to enable use of th
 e FFT as part of a scientific in situ process...\n\n\nSudhanshu Pravin Kul
 karni (San Francisco State University); Burlen Loring (Lawrence Berkeley N
 ational Laboratory (LBNL)); and E. Wes Bethel (San Francisco State Univers
 ity, Lawrence Berkeley National Laboratory (LBNL))\n---------------------\
 nEnabling In Situ Visualization of Large-Scale Cellular Simulations\n\nThe
  significance of studying cellular systems in silico is underscored by per
 sistent innovation in computational models. These models can now capture h
 undreds of millions of cells to recapitulate physiological behavior. The g
 rowing scale of models, however, poses challenges not only for visualizati
 o...\n\n\nAyman Yousef and Amanda Randles (Duke University)\n-------------
 --------\nScaling Computational Fluid Dynamics: In Situ Visualization of N
 ekRS using SENSEI\n\nComputational Fluid Dynamics (CFD) demands immense me
 mory and computational power, leading to reliance on high-end computing pl
 atforms. Traditional methods, like checkpointing, are inefficient, often s
 lowing simulations when data is saved. As technology advances towards exas
 cale and GPU-powered High...\n\n\nVictor A. Mateevitsi (Argonne National L
 aboratory (ANL)); Mathis Bode (Forschungzentrum Juelich); Nicola Ferrier (
 Argonne National Laboratory); Paul Fischer (University of Illinois at Urba
 na-Champaign); Jens Henrik Göbbert (Forschungzentrum Juelich); Joseph A. I
 nsley, Yu-Hsiang Lan, Misun Min, Michael E. Papka, Saumil Patel, and Silvi
 o Rizzi (Argonne National Laboratory); and Jonathan Windgassen (Forschungz
 entrum Juelich)\n---------------------\nState of In Situ Visualization in 
 Simulations: We are fast. But are we inspiring?\n\nVisualization of dynami
 c processes in scientific high-performance computing is an immensely data 
 intensive endeavor. Application codes have recently demonstrated scaling t
 o full-size Exascale machines, and generating high-quality data for visual
 ization is consequently on the machine-scale, easily sp...\n\n\nAxel Huebl
 , Arianna Formenti, Marco Garten, and Jean-Luc Vay (Lawrence Berkeley Nati
 onal Laboratory)\n---------------------\nUnraveling Diffusion in Fusion Pl
 asma:  A Case Study of In Situ Processing and Particle Sorting\n\nThis wor
 k explores a new use case of an in situ processing capability to study a c
 ertain diffusion process in magnetic confinement fusion. This diffusion pr
 ocess involves plasma particles that are likely to escape confinement, bec
 ause such particles carry a significant amount of energy from the burn...\
 n\n\nJunmin Gu, Paul Lin, and Kesheng Wu (Lawrence Berkeley National Labor
 atory (LBNL)); Seung-Hoe Ku, C.S. Chang, and R. Michael Churchill (Princet
 on Plasma Physics Laboratory); and John Choi, Norbert Podhorszki, and Scot
 t Klasky (Oak Ridge National Laboratory (ORNL))\n---------------------\nA 
 General Purpose Interface for Interactive Computational Steering Instrumen
 tation Using Ascent\n\nAutomated computational steering is used to automat
 ically guide simulations toward productive states by combining data analys
 is with predefined control flow paths. Interactive computational steering 
 achieves a similar goal, but by relying on manual human intervention inste
 ad. Existing in situ librar...\n\n\nAndres Sewell (Utah State University, 
 Argonne National Laboratory (ANL)); Victor A. Mateevitsi (Argonne National
  Laboratory (ANL)); Cyrus Harrison and Nicole Marsaglia (Lawrence Livermor
 e National Laboratory (LLNL)); Thomas Marrinan (University of St. Thomas, 
 Argonne National Laboratory (ANL)); Steve Petruzza (Utah State University)
 ; Silvio Rizzi (Argonne National Laboratory (ANL)); Joseph A. Insley (Argo
 nne National Laboratory (ANL), Northern Illinois University); and Michael 
 E. Papka (Argonne National Laboratory (ANL), University of Illinois Chicag
 o)\n---------------------\nUsing Umpire In-Situ for Improved Memory Perfor
 mance\n\nBecause memory is a highly constrained resource, Umpire, a data a
 nd memory management API, was created at Lawrence Livermore National Labor
 atory (LLNL). Umpire provides memory pools which enable less expensive way
 s to allocate very large amounts of memory in HPC environments. Additional
 ly, memory po...\n\n\nKristi Belcher, David Beckingsale, Nicole Marsaglia,
  and Marty McFadden (Lawrence Livermore National Laboratory)\n------------
 ---------\nDesign of a Framework for Combined Flexible and Efficient Simul
 ation and In Situ Processing\n\nThis paper presents preliminary work on a 
 new in situ tool design\nthat allows flexibility in the type of in situ pr
 ocessing. The design\ngoal is to be able to specify at run-time whether to
  run in-line in situ\nor in transit and to allow switching dynamically bet
 ween in-line\nin situ processing and in ...\n\n\nAndrew Charles Bauer (US 
 Army Corps of Engineers)\n---------------------\nISAV23 – Best Paper Award
  and Closing Remarks\n\nPresenting the best paper of ISAV23.\n\nClosing re
 marks.\n\n\nAxel Huebl (Lawrence Berkeley National Laboratory (LBNL)) and 
 Wes Bethel (California State University, San Francisco; Lawrence Berkeley 
 National Laboratory (LBNL))\n---------------------\nInformation Entropy-Ba
 sed Camera Focus Point and Zoom Level Adjustment for Smart In-Situ Visuali
 zation\n\nIn-situ processing has widely been recognized as an effective ap
 proach for the visualization and analysis of large-scale simulation output
 s from modern HPC systems. However, traditional batch-based in-situ visual
 ization can produce large amounts of rendering results for post-hoc visual
  analysis, whi...\n\n\nTaisei Matsushima, Ken Iwata, and Naohisa Sakamoto 
 (Kobe University, Japan); Jorji Nonaka (RIKEN Center for Computational Sci
 ence (R-CCS)); and Chongke Bi (Tianjin University, China)\n\nTag: Data Ana
 lysis, Visualization, and Storage, Large Scale Systems, Performance Measur
 ement, Modeling, and Tools\n\nRegistration Category: Workshop Reg Pass\n\n
 Session Chairs: E. Wes Bethel (San Francisco State University, Lawrence Be
 rkeley National Laboratory (LBNL)); Nicola Ferrier (Argonne National Labor
 atory (ANL), University of Chicago); Axel Huebl (Lawrence Berkeley Nationa
 l Laboratory (LBNL)); Tom Vierjahn (Westphalian University of Applied Scie
 nces); and Sean Ziegeler (US Department of Defense HPC Modernization Progr
 am, Department of Defense High Performance Computing Modernization Program
  (DoD HPCMP))
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