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DTSTART:19700308T020000
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DTSTAMP:20260522T162633Z
LOCATION:Bldg. 6 - Room 103
DTSTART;TZID=Europe/Stockholm:20260701T113000
DTEND;TZID=Europe/Stockholm:20260701T120000
UID:submissions.pasc-conference.org_PASC26_sess176_pap113@linklings.com
SUMMARY:GPU Halo Replay: Lossless Twin Simulations for Flexible In Situ An
 alysis of Stencil-Based Solvers
DESCRIPTION:Ayman Yousef, Aristotle Martin, and Amanda Randles (Duke Unive
 rsity)\n\nWe introduce GPU Halo Replay, a solver‐aware in situ framework f
 or stencil‐based applications that creates a lossless simulation "twin" fo
 r advanced visualization and analysis. By decoupling analysis from the pri
 mary simulation and delegating it to dedicated twin simulations, GPU Halo 
 Replay overcomes the synchronization and fidelity limitations of tradition
 al post hoc and in situ methods. We demonstrate the functionality and feas
 ibility of GPU Halo Replay on the computational fluid dynamics code HARVEY
 , a massively parallel solver. Compared to existing in situ approaches, it
  is co-designed with stencil solvers and exposes new analysis patterns. To
  meet the diverse needs of real-world applications, we developed GPU Halo 
 Replay variants tailored to common usage scenarios. We illustrate the adap
 tability of these variants across three representative case studies: concu
 rrent simulation replay, spatially-targeted subdomain analysis, and tempor
 ally selective domain evaluation. These results illustrate the potential o
 f simulation twins to enhance analysis capabilities without sacrificing pe
 rformance or fidelity.\n\nSession Chair: Stanislaw Ostyk-Narbutt (Politecn
 ico di Milano)\n\n
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