Emulating petaflops machines and blue gene

N. Saboo, A. K. Singla, J. M. Unger, L. V. Kalé

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

Abstract

PetaFLOPS-class computers, based on the current or foreseeable CMOS generation, appear to be feasible in the near future. An emulator for a petaFLOPS-class programming environment is necessary to facilitate offline development and debugging of applications, and exploration of programming models. Such an emulator must be able to run on large traditional parallel machines. This paper describes the design and implementation of an emulator for a class of petaFLOPS machines. The machine parameters can be varied to cover a variety of possible architectures within this class, although our current implementation is influenced by (and is targeted to emulate) an initial design of the Blue Gene Machine being developed by IBM. Our implementation is based on Charm++, an object-basedmessage-driven parallel execution model, which allows emulation of multiple Blue Gene nodes to a single physical processor. We demonstrate the feasibility of our approach by emulating short million-processor programs on less than a hundred processors of the ASCI-Red machine.

Original languageEnglish (US)
Title of host publicationProceedings - 15th International Parallel and Distributed Processing Symposium, IPDPS 2001
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2084-2091
Number of pages8
ISBN (Electronic)0769509908, 9780769509907
DOIs
StatePublished - 2001
Event15th International Parallel and Distributed Processing Symposium, IPDPS 2001 - San Francisco, United States
Duration: Apr 23 2001Apr 27 2001

Publication series

NameProceedings - 15th International Parallel and Distributed Processing Symposium, IPDPS 2001

Other

Other15th International Parallel and Distributed Processing Symposium, IPDPS 2001
Country/TerritoryUnited States
CitySan Francisco
Period4/23/014/27/01

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications

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