Blurring the computation-communication divide: Extraneous memory accesses and their effects on MPI intranode communications

Wilson M. Tan*, Stephen A. Jarvis

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Modern MPI simulator frameworks assume the existence of a Computation-Communication Divide: thus, they model and simulate the computation and communication sections of an MPI Program separately. The assumption is actually sound for MPI processes that are situated in different nodes and communicate through a network medium such as Ethernet or Infiniband. For processes that are within a node however, the validity of the assumption is limited since the processes communicate using shared memory, which also figures in computation by storing the application and its associated data structures. In this work, the limits of the said assumption's validity were tested, and it is shown that Extraneous Memory Accesses (EMAs) by a compute section could significantly slow down the communication operations following it. Two general observations were made in the course of this work: first, more EMAs cause greater slowdown; and second, EMAs coming from the compute section of the processes containing the MPI-Recv are more detrimental to communication performance than those coming from processes containing MPI Send.

Original languageEnglish
Title of host publication2012 Imperial College Computing Student Workshop, ICCSW 2012
Pages135-141
Number of pages7
DOIs
Publication statusPublished - 2012
Event2nd Imperial College Computing Student Workshop, ICCSW 2012 - London, United Kingdom
Duration: 27 Sept 201228 Sept 2012

Publication series

Name2012 Imperial College Computing Student Workshop, ICCSW 2012
Volume28

Conference

Conference2nd Imperial College Computing Student Workshop, ICCSW 2012
Country/TerritoryUnited Kingdom
CityLondon
Period27/09/1228/09/12

Keywords

  • Computer networks
  • Computer simulation
  • High performance computing
  • Message passing
  • Multicore processing
  • Parallel processing
  • Parallel programming

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

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