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DTSTART:19700308T020000
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DTSTAMP:20210402T160546Z
LOCATION:Track 11
DTSTART;TZID=America/New_York:20201113T143000
DTEND;TZID=America/New_York:20201113T183000
UID:submissions.supercomputing.org_SC20_sess233@linklings.com
SUMMARY:Fourth Workshop on Interactive High-Performance Computing
DESCRIPTION:Workshop\n\nInteractiveHPC – Introduction: Fourth Workshop on 
 Interactive High-Performance Computing\n\nThomas, Ferrier, Reuther, Ringen
 burg\n\nInteractive exploration of large data sets, interactive preparatio
 n and debugging of large-scale scientific simulations, in situ visualizati
 on and application steering are just a few of the many compelling scenario
 s for interactive high-performance computing.  A range of technical, organ
 izational an...\n\n---------------------\nInteractiveHPC – Panel\n\n\n\n--
 -------------------\nInteractiveHPC – Break\n\n\n\n---------------------\n
 InteractiveHPC – Break\n\n\n\n---------------------\nInteractiveHPC – Wrap
 up\n\n\n\n---------------------\nToward an HPC Service-Oriented Hybrid Clo
 ud Architecture Designed for Interactive Workflows\n\nKortas, Shaikh\n\nWe
  detail Ludion, a  service-oriented hybrid architecture, well-adapted
  to launch, monitor and steer interactive services running either on on-pr
 emise HPC resources, on user laptops and workstations or in the cloud.&nbs
 p; Based on AWS serverless components at virtually no cost, Ludion require
 s ...\n\n---------------------\nAccelerating Fusion Energy Experimental Wo
 rkflows Using HPC Resources\n\nKube, Churchill, Choi, Wang, Klasky...\n\nE
 xperiments on magnetic fusion energy routinely generate high-velocity, lar
 ge-volume datasets. In experiments, which last about one minute with about
  30 minute cool-down phases in between them, numerous diagnostics sample h
 igh-temperature fusion plasmas with ever increasing spatial and temporal r
 eso...\n\n---------------------\nToward Interactive, Reproducible Analytic
 s at Scale on HPC Systems\n\nCholia, Heagy, Henderson, Paine, Hays...\n\nT
 he growth in scientific data volumes has resulted in a need to scale up pr
 ocessing and analysis pipelines using high-performance computing (HPC) sys
 tems. These workflows need interactive, reproducible analytics at scale. T
 he Jupyter platform provides core capabilities for interactivity but was n
 ot ...\n\n---------------------\nKeynote: Rapid-response Data Analytics fo
 r COVID-19 Using GPUs\n\nGlaser\n\n\nTag: Interactive HPC\n\nRegistration 
 Category: Workshop Reg Pass
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