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
Data Redistribution and Remote Method Invocation in Parallel Component Architectures
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Scientific workflow management and the Kepler system: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
DART: a substrate for high speed asynchronous data IO
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
Enabling efficient and flexible coupling of parallel scientific applications
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
HiPC'06 Proceedings of the 13th international conference on High Performance Computing
A dynamic geometry-based shared space interaction framework for parallel scientific applications
HiPC'04 Proceedings of the 11th international conference on High Performance Computing
Examples of in transit visualization
Proceedings of the 2nd international workshop on Petascal data analytics: challenges and opportunities
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Scientific applications are striving to accurately simulate multiple interacting physical processes that comprise complex phenomena being modeled. Efficient and scalable parallel implementations of these coupled simulations present challenging interaction and coordination requirements, especially when the coupled physical processes are computationally heterogeneous and progress at different speeds. In this paper, we present the design, implementation and evaluation of a memory-to-memory coupling framework for coupled scientific simulations on high-performance parallel computing platforms. The framework is driven by the coupling requirements of the Center for Plasma Edge Simulation, and it provides simple coupling abstractions as well as efficient asynchronous (RDMA-based) memory-to-memory data transport mechanisms that complement existing parallel programming systems and data sharing frameworks. The framework enables flexible coupling behaviors that are asynchronous in time and space, and it supports dynamic coupling between heterogeneous simulation processes without enforcing any synchronization constraints. We evaluate the performance and scalability of the coupling framework using a specific coupling scenario, on the Jaguar Cray XT5 system at Oak Ridge National Laboratory.