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DTSTAMP:20181221T160911Z
LOCATION:C140/142
DTSTART;TZID=America/Chicago:20181114T103000
DTEND;TZID=America/Chicago:20181114T120000
UID:submissions.supercomputing.org_SC18_sess188@linklings.com
SUMMARY:MPI Optimization and Characterization
DESCRIPTION:Paper\nArchitectures, MPI, Networks, Performance, Programming 
 Systems, State of the Practice, Tech Program Reg Pass\n\nCharacterization 
 of MPI Usage on a Production Supercomputer\n\nChunduri, Parker, Balaji, Ha
 rms, Kumaran\n\nMPI is the most prominent programming model used in scient
 ific computing today.  Despite it's importance, however, how scientific ap
 plications use it in production is not very well understood due to the lac
 k of low overhead profiling tools.   We used a lightweight profiling tool,
  called autoperf, to...\n\n---------------------\nFramework for Scalable I
 ntra-Node Collective Operations Using Shared Memory\n\nJain, Kaleem, Balma
 na, Langer, Durnov...\n\nCollective operations are used in MPI programs to
  express common communication patterns, collective computations, or synchr
 onizations. In many collectives, such as barrier or allreduce, the intra-n
 ode component of the collective is in the critical path, as the inter-node
  communication cannot start u...\n\n---------------------\nCooperative Ren
 dezvous Protocols for Improved Performance and Overlap\n\nChakraborty, Bay
 atpour, Hashmi, Subramoni, Panda\n\nWith the emergence of larger multi-/ma
 ny-core clusters, performance of large message communication is becoming m
 ore important. MPI libraries use different Rendezvous protocols to perform
  large message communication. However, existing Rendezvous protocols do no
 t consider the overall communication pat...\n
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