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- W62080125 abstract "AbstractComputer simulation is one of the most powerful tools that scientists have at their disposal for studying sophisticated processes or phenomena, which are infeasible, too costly, or dangerous to reproduce. As simulation programs are often built on complex mathematical models, it is extremely desirable to greatly reduce simulation time at the minimum loss of accuracy, especially when a long simulation time span is dictated or immediate response is demanded. This paper presents our research work on improving computational efficiency of a data-intensive parallel hydraulic analysis application, which targets real-time fine-grained simulation for large-scale watersheds. To deliver computational results at low latency and high throughput, we leverage the processing capabilities of both database and compute cluster, and have designed an interpolation mechanism with which previous results are efficiently managed and dynamically maintained for maximum reuse. Experiments have demonstrated the benefits of our solution.KeywordsScientific ComputationOptimizationFunction ApproximationDatabaseSimulation" @default.
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- W62080125 date "2010-01-01" @default.
- W62080125 modified "2023-09-23" @default.
- W62080125 title "An Efficient Computation Saving Mechanism for High-Performance Large-Scale Watershed Simulation" @default.
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- W62080125 doi "https://doi.org/10.1007/978-3-642-11618-6_8" @default.
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