A Data Broker for Distributed Computing Environments
ICCS '01 Proceedings of the International Conference on Computational Sciences-Part I
ICCS '01 Proceedings of the International Conference on Computational Sciences-Part I
PAWS: Collective Interactions and Data Transfers
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
High Performance Communication between Parallel Programs
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 4 - Volume 05
Concurrency and Computation: Practice & Experience
Enabling efficient and flexible coupling of parallel scientific applications
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Exploiting Latent I/O Asynchrony in Petascale Science Applications
International Journal of High Performance Computing Applications
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Emerging scientific and engineering simulations often require the coupling of multiple physics models and associated parallel codes that execute independently and in a distributed manner. Realizing these simulations in distributed environments presents several challenges. This paper describes experiences with wide-area coupling for a coupled fusion simulation using the Seine coupling framework. Seine provides a dynamic geometry-based virtual shared space abstraction and supports flexible, efficient and scalable coupling, data redistribution and data streaming. The design and implementation of the coupled fusion simulation using Seine, and an evaluation of its performance and overheads in a wide-area environment are presented.