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Scalable compression and replay of communication traces in massively parallel environments

  • Michael Noeth
  • , Jaydeep Marathe
  • , Frank Mueller
  • , Martin Schulz
  • , Bronis De Supinski

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Characterizing the communication behavior of large-scale applications is a difficult and costly task due to code and system complexity as well as the time to execute such codes. An alternative to run actual codes is to gather their communication traces and then replay them, which facilitates application tuning and future procurements. While past approaches lacked lossless scalable trace collection, we contribute an approach that provides near constant-size communication traces regardless of the number of nodes while preserving structural information. We introduce intra- and inter-node compression techniques of MPI events and present results of our implementation. Given this novel capability, we discuss its impact on communication tuning and beyond.

Original languageEnglish
Title of host publicationProceedings of the 2006 ACM/IEEE Conference on Supercomputing, SC'06
PublisherAssociation for Computing Machinery (ACM)
ISBN (Print)0769527000, 9780769527000
DOIs
StatePublished - 11 Nov 2006
Event2006 ACM/IEEE Conference on Supercomputing, SC 2006 - Tampa, FL, United States
Duration: 11 Nov 200617 Nov 2006

Publication series

NameProceedings of the 2006 ACM/IEEE Conference on Supercomputing, SC'06

Conference

Conference2006 ACM/IEEE Conference on Supercomputing, SC 2006
Country/TerritoryUnited States
CityTampa, FL
Period11/11/0617/11/06

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