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Enabling efficient and flexible coupling of parallel scientific applications

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2 Author(s)
Li Zhang ; Appl. Software Syst. Lab., Rutgers Univ., Piscataway, NJ, USA ; M. Parashar

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

Published in:

Proceedings 20th IEEE International Parallel & Distributed Processing Symposium

Date of Conference:

25-29 April 2006