Enabling efficient and flexible coupling of parallel scientific applications

Li Zhang, Manish Parashar

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

15 Scopus citations

Abstract

Emerging scientific and engineering simulations are presenting challenging requirements for coupling between multiple physics models and associated parallel codes that execute independently and in a distributed manner. Realizing coupled simulations requires an efficient, flexible and scalable coupling framework and simple programming abstractions. This paper presents a coupling framework that addresses these requirements. The framework is based on the Seine geometry-based interaction model. It enables efficient computation of communication schedules, supports low-overheads processor-to-processor data streaming, and provides high-level abstraction for application developers. The design, CCA-based implementation, and experimental evaluation of the Seine based coupling framework are presented.

Original languageEnglish (US)
Title of host publication20th International Parallel and Distributed Processing Symposium, IPDPS 2006
PublisherIEEE Computer Society
ISBN (Print)1424400546, 9781424400546
DOIs
StatePublished - 2006
Event20th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2006 - Rhodes Island, Greece
Duration: Apr 25 2006Apr 29 2006

Publication series

Name20th International Parallel and Distributed Processing Symposium, IPDPS 2006
Volume2006

Other

Other20th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2006
Country/TerritoryGreece
CityRhodes Island
Period4/25/064/29/06

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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