Communications of the ACM
Flexible Information Discovery in Decentralized Distributed Systems
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
A lightweight Java taskspaces framework for scientific computing on computational grids
Proceedings of the 2003 ACM symposium on Applied computing
Dynamic Data-Driven Systems Approach for Simulation Based Optimizations
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Plasma fusion code coupling using scalable I/O services and scientific workflows
Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science
Experiments with Memory-to-Memory Coupling for End-to-End Fusion Simulation Workflows
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
DataSpaces: an interaction and coordination framework for coupled simulation workflows
Proceedings of the 19th ACM 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
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While large-scale parallel/distributed simulations are rapidly becoming critical research modalities in academia and industry, their efficient and scalable parallel implementations present many challenges A key challenge is the dynamic and complex communication/coordination patterns required by these applications, which depend on states of the phenomenon being modeled and are determined by the specific numerical formulation, the domain decomposition and/or sub-domain refinement algorithms used, and are known only at runtime In this paper, we present a dynamic geometry-based shared-space interaction framework for scientific applications The framework provides the flexibility of shared-space coordination models while enabling scalable implementations The design, prototype implementation and experimental evaluation using an adaptive multi-block oil reservoir simulation are presented.