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DTSTAMP:20230124T171522Z
LOCATION:C143-149
DTSTART;TZID=America/Chicago:20221113T091000
DTEND;TZID=America/Chicago:20221113T093500
UID:submissions.supercomputing.org_SC22_sess426_ws_isav111@linklings.com
SUMMARY:Conduit: A Successful Strategy for Describing and Sharing Data In 
 Situ
DESCRIPTION:Workshop\n\nConduit: A Successful Strategy for Describing and 
 Sharing Data In Situ\n\nHarrison, Larsen, Ryujin, Kunen, Capps...\n\nData 
 representation and coupling between scientific libraries is a key challeng
 e to building a vibrant ecosystem of HPC simulation tools. From bespoke da
 ta structures to hundreds of file-based data models, the myriad of possibl
 e choices involved both enables key features and blocks adoption of others
 . Connecting data between code bases requires agreeing on or adapting betw
 een data representations. While in some cases this process is trivial, for
  more complicated cases, adapting data becomes a costly barrier. Conduit w
 as designed within this context to help meet the key challenge of sharing 
 data across HPC simulation tools by providing a dynamic API to describe in
 -memory data. It supports coupling simulations and connecting simulations 
 to analysis and I/O libraries. This paper provides a broad overview of Con
 duit, background on the evolution of the project, and details on recently 
 added features relevant to in situ use cases.\n\nSession Format: Recorded\
 n\nTag: Accelerator-based Architectures, Data Analytics, In Situ Processin
 g, Scientific Computing, Visualization, Workflows\n\nRegistration Category
 : Workshop Reg Pass
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