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DTSTART;TZID=America/Denver:20231112T144000
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UID:submissions.supercomputing.org_SC23_sess438_ws_corr103@linklings.com
SUMMARY:Rethinking Data Race Detection in MPI-RMA Programs
DESCRIPTION:Radjasouria Vinayagame (Eviden, INRIA); Emmanuelle Saillard (I
 NRIA); Samuel Thibault (University of Bordeaux); and Van Man Nguyen and Ma
 rc Sergent (Eviden)\n\nSupercomputers are capable of more and more computa
 tions, and nodes forming them need to communicate even more efficiently wi
 th each other. Thus, new types of communication models gain traction in th
 e community to promote overlapping communications with computations. For i
 nstance, the Message Passing Interface (MPI) proposes a communication mode
 l based on one-sided communications called the MPI Remote Memory Access (M
 PI-RMA).  Thanks to these operations, applications can improve the overlap
  of communications with computations. However, one-sided communications ar
 e complex to write since they are subject to data races.  Tools helping de
 velopers detect data races caused by MPI one-sided communications are thus
  emerging. This work rethinks an existing on-the-fly data race detection a
 lgorithm for MPI-RMA programs by improving the storage of memory accesses,
  thus improving its accuracy and reducing the overhead at runtime.\n\nTag:
  Applications, Software Engineering\n\nRegistration Category: Workshop Reg
  Pass\n\nSession Chairs: Ignacio Laguna (Lawrence Livermore National Labor
 atory (LLNL)); Cindy Rubio-González (University of California, Davis); and
  Emmanuelle Saillard (French Institute for Research in Computer Science an
 d Automation (INRIA))\n\n
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