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DTSTAMP:20200129T163559Z
LOCATION:605
DTSTART;TZID=America/Denver:20191117T120000
DTEND;TZID=America/Denver:20191117T123000
UID:submissions.supercomputing.org_SC19_sess109_ws_exampi102@linklings.com
SUMMARY:Accelerating the Global Arrays ComEx Runtime Using Multiple Progre
 ss Ranks
DESCRIPTION:Workshop\n\nAccelerating the Global Arrays ComEx Runtime Using
  Multiple Progress Ranks\n\nGawande, Kowalski, Palmer, Krishnamoorthy, Apr
 a...\n\nAbstract—Partitioned Global Address Space (PGAS) models are a part
  of system software that is being designed to support communication runtim
 es for exascale applications. MPI has been shown to be a viable option to 
 develop a scalable PGAS communication subsystem and has the advantages of 
 its standardization and higher performance. We used MPI two-sided semantic
 s with a combination of automatic and user defined splitting of MPI commun
 icators to achieve asynchronous progress. Our implementation can make use 
 of multiple asynchronous progress ranks (PR) per node that can be mapped t
 o the computing architecture of a node in a distributed cluster. We are ab
 le to show significant speed up of over 2.0X and scaling of a communicatio
 n bound computational chemistry application distributed over 1024 nodes of
  state-of-the-art HPC clusters. Our results show that while running a comm
 unication bound application workload on a certain number of cluster nodes,
  an optimum number of ranks dedicated for communication can be found to ac
 hieve asynchronous communication progress and obtain highest performance.\
 n\nTag: Workshop Reg Pass, Exascale, MPI, Networks, Parallel Programming L
 anguages, Libraries, and Models\n\nRegistration Category: Workshop Reg Pas
 s, Exascale, MPI, Networks, Parallel Programming Languages, Libraries, and
  Models
URL:https://sc19.supercomputing.org/presentation/?id=ws_exampi102&sess=ses
 s109
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