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DTSTAMP:20230124T171521Z
LOCATION:C148
DTSTART;TZID=America/Chicago:20221114T161000
DTEND;TZID=America/Chicago:20221114T161500
UID:submissions.supercomputing.org_SC22_sess460_ws_pdswwip102@linklings.co
 m
SUMMARY:Dask-Enabled External Tasks for In Transit Analytics
DESCRIPTION:Workshop\n\nDask-Enabled External Tasks for In Transit Analyti
 cs\n\nGueroudji, Bigot, Raffin\n\nIn situ models represent a relevant alte
 rnative to classical post hoc workflows as they allow bypassing disk acces
 ses, thus reducing the IO bottleneck. However, as most in situ data analyt
 ics tools are based on MPI, they are complicated to use, especially to par
 allelize irregular algorithms. Deisa, a task-based in situ analytics tool,
   couples MPI with Dask, providing a higher level and easier way to write 
 in situ analytics. In this work, we improve Deisa's design by introducing 
 three main concepts: deisa virtual arrays, contracts, and external tasks i
 n Dask distributed. Those refinements reduce the load in the centralized s
 cheduler of Dask and integrate selected simulation data in Dask task graph
 s transparently, improving Deisa's performance and productivity.\n\nSessio
 n Format: Recorded\n\nRegistration Category: Workshop Reg Pass
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