Dynamic Data-Driven Systems Approach for Simulation Based Optimizations
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
A GCM-based runtime support for parallel grid applications
Proceedings of the 2008 compFrame/HPC-GECO workshop on Component based high performance
Experiments with wide area data coupling using the seine coupling framework
HiPC'06 Proceedings of the 13th international conference on High Performance Computing
Towards dynamic data-driven management of the ruby gulch waste repository
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
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While large-scale parallel/distributed simulations are rapidly becoming critical research modalities in academia and industry, their efficient and scalable implementations continue to present many challenges. A key challenge is that the dynamic and complex communication/coordination required by these applications (dependent on the state of the phenomenon being modeled) are determined by the specific numerical formulation, the domain decomposition and/or sub-domain refinement algorithms used, etc. and are known only at runtime. This paper presents Seine, a dynamic geometry-based shared-space interaction framework for scientific applications. The framework provides the flexibility of shared-space-based models and supports extremely dynamic communication/coordination patterns, while still enabling scalable implementations. The design and prototype implementation of Seine are presented. Seine complements and can be used in conjunction with existing parallel programming systems such as MPI and OpenMP. An experimental evaluation using an adaptive multi-block oil-reservoir simulation is used to demonstrate the performance and scalability of applications using Seine. Copyright © 2006 John Wiley & Sons, Ltd.