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DTSTART:19700308T020000
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DTSTAMP:20260522T150117Z
LOCATION:D166
DTSTART;TZID=America/Chicago:20181112T110000
DTEND;TZID=America/Chicago:20181112T113000
UID:submissions.supercomputing.org_SC18_sess173_ws_espm103@linklings.com
SUMMARY:Design of Data Management for Multi-SPMD Workflow Programming Mode
 l
DESCRIPTION:Thomas Dufaud (University of Versailles) and Miwako Tsuji and 
 Mitsuhisa Sato (Riken Center for Computational Science)\n\nAs both the com
 plexity of algorithms and architecture increase, development of scientific
  software becomes a challenge. In order to exploit future architecture, we
  consider a Multi-SPMD workflow programing model. Then, data transfer betw
 een tasks during computation highly depends on the architecture and middle
 ware used. In this study, we design an adaptive system for data management
  in a parallel programming environment which can express two level of para
 llelism. We show how the consideration of multiple strategies based on I/O
  and direct message passing can improve performances and fault tolerance i
 n the YML-XMP environment. On a real application with a sufficiently large
  amount of local data, speedup of 1.36 for a mixed strategy to 1.73 for a 
 direct message passing method are obtained compared to our original design
 .\n\nTag: Accelerators, Exascale, Parallel Programming Languages, Librarie
 s, and Models\n\nRegistration Category: Workshop Reg Pass\n\nSession Chair
 s: Dhabaleswar K. (DK) Panda (The Ohio State University), Karl Schulz (Adv
 anced Micro Devices (AMD) Inc), and Hari Subramoni (The Ohio State Univers
 ity)\n\n
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