Debugging large scale applications in a virtualized environment

Filippo Gioachin, Gengbin Zheng, Laxmikant V. Kalé

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

Abstract

With the advent of petascale machines with hundreds of thousands of processors, debugging parallel applications is becoming an increasing challenge. Aside from the complicated debugging techniques required to debug applications at such scale, it is often difficult to gain access to these machines for a sufficient period of time, if at all. Some existing parallel debuggers are capable of handling these machines, but they still require the whole machine to be allocated. In this paper, we present an innovative approach to address debugging on such extreme scales. By leveraging the concept of object-based processor virtualization, our technique enables debugging of even a million processor execution under a simulated environment using only a relatively small cluster. We describe the obstacles we overcame to achieve this goal within two message passing programming models: Charm++ and MPI. We demonstrate the results using real world applications such as Molecular Dynamics and Cosmological simulation programs.

Original languageEnglish (US)
Title of host publicationLanguages and Compilers for Parallel Computing - 23rd International Workshop, LCPC 2010, Revised Selected Papers
Pages199-214
Number of pages16
DOIs
StatePublished - 2011
Event23rd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2010 - Houston, TX, United States
Duration: Oct 7 2010Oct 9 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6548 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other23rd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2010
Country/TerritoryUnited States
CityHouston, TX
Period10/7/1010/9/10

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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