Enabling efficient and flexible coupling of parallel scientific applications

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