Recovering logical structure from Charm++ event traces

Katherine E. Isaacs, Abhinav Bhatele, Jonathan Lifflander, David Böhme, Todd Gamblin, Martin Schulz, Bernd Hamann, Peer Timo Bremer

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

7 Scopus citations

Abstract

Asynchrony and non-determinism in Charm++ programs present a significant challenge in analyzing their event traces. We present a new framework to organize event traces of parallel programs written in Charm++. Our reorganization allows one to more easily explore and analyze such traces by providing context through logical structure. We describe several heuristics to compensate for missing dependencies between events that currently cannot be easily recorded. We introduce a new task ordering that recovers logical structure from the non-deterministic execution order. Using the logical structure, we define several metrics to help guide developers to performance problems. We demonstrate our approach through two proxy applications written in Charm++. Finally, we discuss the applicability of this framework to other task-based runtimes and provide guidelines for tracing to support this form of analysis.

Original languageEnglish
Title of host publicationProceedings of SC 2015
Subtitle of host publicationThe International Conference for High Performance Computing, Networking, Storage and Analysis
PublisherIEEE Computer Society
ISBN (Electronic)9781450337236
DOIs
StatePublished - 15 Nov 2015
Externally publishedYes
EventInternational Conference for High Performance Computing, Networking, Storage and Analysis, SC 2015 - Austin, United States
Duration: 15 Nov 201520 Nov 2015

Publication series

NameInternational Conference for High Performance Computing, Networking, Storage and Analysis, SC
Volume15-20-November-2015
ISSN (Print)2167-4329
ISSN (Electronic)2167-4337

Conference

ConferenceInternational Conference for High Performance Computing, Networking, Storage and Analysis, SC 2015
Country/TerritoryUnited States
CityAustin
Period15/11/1520/11/15

Keywords

  • asynchrony
  • performance
  • task-based models
  • trace analysis

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