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DTSTART:19700308T020000
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DTSTAMP:20260522T150123Z
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DTSTART;TZID=America/Chicago:20181114T103000
DTEND;TZID=America/Chicago:20181114T120000
UID:submissions.supercomputing.org_SC18_sess188@linklings.com
SUMMARY:MPI Optimization and Characterization
DESCRIPTION:Framework for Scalable Intra-Node Collective Operations Using 
 Shared Memory\n\nCollective operations are used in MPI programs to express
  common communication patterns, collective computations, or synchronizatio
 ns. In many collectives, such as barrier or allreduce, the intra-node comp
 onent of the collective is in the critical path, as the inter-node communi
 cation cannot start u...\n\n\nSurabhi Jain, Rashid Kaleem, Marc Gamell Bal
 mana, Akhil Langer, Dmitry Durnov, Alexander Sannikov, and Maria Garzaran 
 (Intel Corporation)\n---------------------\nCharacterization of MPI Usage 
 on a Production Supercomputer\n\nMPI is the most prominent programming mod
 el used in scientific computing today.  Despite it's importance, however, 
 how scientific applications use it in production is not very well understo
 od due to the lack of low overhead profiling tools.   We used a lightweigh
 t profiling tool, called autoperf, to...\n\n\nSudheer Chunduri, Scott Park
 er, Pavan Balaji, Kevin Harms, and Kalyan Kumaran (Argonne National Labora
 tory)\n---------------------\nCooperative Rendezvous Protocols for Improve
 d Performance and Overlap\n\nWith the emergence of larger multi-/many-core
  clusters, performance of large message communication is becoming more imp
 ortant. MPI libraries use different Rendezvous protocols to perform large 
 message communication. However, existing Rendezvous protocols do not consi
 der the overall communication pat...\n\n\nS. Chakraborty, M. Bayatpour, J.
  Hashmi, H. Subramoni, and D. K. Panda (Ohio State University)\n\nTag: Arc
 hitectures, MPI, Networks, Performance, Programming Systems, State of the 
 Practice\n\nRegistration Category: Tech Program Reg Pass\n\nFinalist: BSP 
 Finalist\n\nSession Chair: Sriram Krishnamoorthy (Google LLC)
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