Chapter
Apr 26, 2012
Scalable Parallel Computing Framework for Pump Scheduling Optimization
Publication: World Environmental and Water Resources Congress 2009: Great Rivers
Abstract
As multi-core personal computers (PC) have become popular and widely available for various computation tasks, developing parallel computing methods are imperative for taking the full capacity of the multi-core machines. This paper reports on the analysis and comparison of different paradigms for portable parallel computation on single multi-core PC and a cluster of PCs. It summarizes the strength and weakness of various parallel and distributed computation models. A scalable and portable parallel optimization framework has been developed and applied to water distribution pump scheduling to improve energy efficiency. It is implemented as a generic optimization method for hydraulic engineers to optimize the pump operation policy in order to maximize energy cost efficiency. An example study is presented to demonstrate the application of the parallel and distributed optimization model. The results show a linear speedup has been achieved for the parallel optimization of pump scheduling.
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World Environmental and Water Resources Congress 2009: Great Rivers
Pages: 1 - 11
Copyright
© 2009 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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Applied Research Group, Bentley Systems, Incorporated, 27 Siemon Co. Dr, Suite200W, Watertown, CT 06795, USA. E-mail: [email protected]
Computer Science & Engineering Department, University of Connecticut, Storrs, CT 06269, USA. E-mail: [email protected]
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