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DTSTART:19700308T020000
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DTSTAMP:20260522T150115Z
LOCATION:D221
DTSTART;TZID=America/Chicago:20181113T141500
DTEND;TZID=America/Chicago:20181113T143000
UID:submissions.supercomputing.org_SC18_sess278_drs114@linklings.com
SUMMARY:Fast and Generic Concurrent Message-Passing
DESCRIPTION:Hoang-Vu Dang and Marc Snir (University of Illinois)\n\nCommun
 ication hardware and software have a significant impact on the performance
  of clusters and supercomputers. Message-passing model and the Message-Pas
 sing Interface (MPI) is a widely used model of communications in the High-
 Performance<br />Computing (HPC) community. However, MPI has recently face
 d new challenges due to the emergence of many-core architecture and of pro
 gramming models with dynamic task parallelism, assuming a large number of 
 concurrent threads. These applications come from important classes of appl
 ications such as graph and data analytics.<br /><br />In this thesis, we s
 tudied MPI under the new assumptions. We identified several factors in the
  standard which were inherently problematic for scalability and performanc
 e. Next, we analyzed graph, threading and data-flow frameworks to understa
 nd the communication. We then proposed a communication engine (LCI) target
 ting these frameworks. Our thesis benefits MPI by developing several patch
 es in production MPI. Furthermore, LCI presents a simple and ground-up des
 ign which benefits various frameworks of study.\n\nTag: Compilers, Data An
 alytics, Data Management, GPUs, MPI, OS and Runtime Systems, Doctoral Show
 case\n\nRegistration Category: Workshop Reg Pass, Tutorial Reg Pass, Tech 
 Program Reg Pass, Exhibits Reg Pass, Exhibits - Exhibit Hall Only Reg Pass
 \n\nSession Chair: Kamesh Madduri (Pennsylvania State University)\n\n
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