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DTSTAMP:20211207T055401Z
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DTSTART;TZID=America/Chicago:20211115T103000
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UID:submissions.supercomputing.org_SC21_sess349_ws_isav103@linklings.com
SUMMARY:LOOM: Interweaving Tightly Coupled Visualization and Numeric Simul
 ation Framework
DESCRIPTION:Workshop\n\nLOOM: Interweaving Tightly Coupled Visualization a
 nd Numeric Simulation Framework\n\nBarbosa, Navratil, University of Minho,
  Portugal, Fussell\n\nPost-hoc high-fidelity scientific visualization (HSV
 ) of numerical simulations (NS) requires multiple I/O check-pointing to in
 spect the simulation progress. The costs of these I/O is high and can grow
  exponentially with increasing problem sizes. \nIn situ HSV dispenses with
  costly I/O, but requires additional computing resources (CR) to generate 
 the visualization, increasing power and energy consumption. In this paper 
 we present LOOM, a new interweaving approach supported by a task schedulin
 g framework to allow  tightly coupled in situ visualization without adding
  to the NS runtime. The approach exploits idle time of the NS, due to work
 load imbalances, to perform the visualization. Execution time and power re
 quirements are minimized by sharing the same CR among NS and visualization
 . We demonstrate that LOOM reduces time to visualization by 3x compared to
  a traditional non-interwoven pipeline. Our results here demonstrate good 
 potential for additional gains for large distributed-memory use cases with
  larger interleaving opportunities.\n\nTag: Applications, Big Data, Visual
 ization\n\nRegistration Category: Workshop Reg Pass
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