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UID:submissions.supercomputing.org_SC24_sess743@linklings.com
SUMMARY:ISAV 2024: In Situ Infrastructures for Enabling Extreme-Scale Anal
 ysis and Visualization
DESCRIPTION:As HPC platforms and applications increase significantly in si
 ze, complexity, and heterogeneity, one major challenge is the widening gap
  between computation and our ability to gain insight from extreme-scale da
 ta and make timely, data-driven decisions. A well-known, challenging appro
 ach is in situ processing– performing as much analysis as possible while c
 omputed data stays resident in memory. ISAV goes one step further: in its 
 10th year, in situ analysis has evolved from research efforts to a central
  component in supercomputer, cloud and edge applications. ISAV is a commun
 ity of developers, practitioners, researchers, and users of in situ method
 s and infrastructure, connecting industry, government, and academia across
  all career levels. Through presentations and discussions of research find
 ings, lessons learned, and early ideas, ISAV illuminates new requirements 
 driven by science and engineering applications and fosters the community m
 embers and knowledge base around development and application of in situ me
 thods with peer reviewed proceedings.\n\nISAV 2024 — Afternoon Break\n----
 -----------------\nBridging Gaps in Simulation Analysis through a General 
 Purpose, Bidirectional Steering Interface with Ascent\n\nThis paper presen
 ts a novel, general-purpose interface for adding interactive human-in-the-
 loop steering controls to existing simulation codes. The design is agnosti
 c to any specific in situ analysis and visualization library, though our r
 eference implementation is based on Ascent -- a common in sit...\n\n\nAndr
 es Sewell (Utah State University); Dimitrios Fytanidis and Victor Mateevit
 si (Argonne National Laboratory (ANL)); Cyrus Harrison and Nicole Marsagli
 a (Lawrence Livermore National Laboratory (LLNL)); Thomas Marrinan, Silvio
  Rizzi, Joseph Insley, and Michael Papka (Argonne National Laboratory (ANL
 )); and Steve Petruzza (Utah State University)\n---------------------\nDis
 cussion Break\n---------------------\nLightning Talk: In-Situ Temperature 
 Profiling for Determining Detonation in White Dwarf Environments\n\nThe te
 mperature profile in white dwarf (WD) mergers plays a critical role in det
 ermining where and how detonations occur in stellar simulations. Existing 
 methods, which primarily focus on maximum and ambient temperatures, often 
 lack the precision needed for comprehensive detonation analysis. To addr..
 .\n\n\nKewei Yan and Yonghong Yan (University of North Carolina at Charlot
 te)\n---------------------\nBest Paper Award and Closing Thoughts\n-------
 --------------\nIn situ data analytics: compression, machine learning, and
  live visual feedback to guide interactivity and model improvement by Prof
 . Kenneth E. Jansen\n---------------------\nScalable In-Situ Visualization
  for Extreme-Scale SPH Simulations\n\nLarge-scale scientific simulations p
 resent significant challenges in data processing efficiency.\nThis paper a
 ddresses the critical issue of I/O and data processing performance bottlen
 ecks within the domain of extreme-scale Smoothed-particle Hydrodynamics (S
 PH) and gravity simulations.\nWe present a n...\n\n\nYiqing Zhu and Osman 
 Seckin Simsek (University of Basel, Switzerland); Jean M. Favre (Swiss Nat
 ional Supercomputing Centre (CSCS)); and Rubén Cabezón and Florina M. Cior
 ba (University of Basel, Switzerland)\n---------------------\nIntroduction
  by ISAV OC\n---------------------\nDyTwin: Federated Adaptive Digital Twi
 ns for Data Centers – Visualization and Anomaly Detection\n\nReliable and 
 uninterrupted operation is crucial in supercomputers, especially during fa
 ilures or inconsistencies i.e., anomalies. In this paper, we present a fed
 erated adaptive Digital Twin (DT) framework, with a focus on enhancing ano
 maly detection -- a critical aspect of modern data center managem...\n\n\n
 Ebad Taheri, Pedro Bruel, Pavana Prakash, Gourav Rattihalli, Ninad Hogade,
  Aditya Dhakal, and Rolando P. Hong Enriquez (Hewlett Packard Labs); Torst
 en Wilde and Leo Popokh (Hewlett Packard Enterprise (HPE)); and Dejan Milo
 jicic and Cullen Bash (Hewlett Packard Labs)\n\nTag: Distributed Computing
 , Performance Evaluation and/or Optimization Tools, Scientific and Informa
 tion Visualization\n\nRegistration Category: Workshop Reg Pass\n\nSession 
 Chairs: Nicola Ferrier (Argonne National Laboratory (ANL), University of C
 hicago); Axel Huebl (Lawrence Berkeley National Laboratory (LBNL)); Matthe
 w Larsen (Luminary Cloud Inc); Will Usher (Luminary Cloud Inc); and Sean Z
 iegeler (US Department of Defense HPC Modernization Program, Department of
  Defense High Performance Computing Modernization Program (DoD HPCMP))
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