Parallelisation of a distributed hydrologic model Online publication date: Fri, 15-Apr-2005
by Zhengtao Cui, Baxter E. Vieux, Henry Neeman, Fekadu Moreda
International Journal of Computer Applications in Technology (IJCAT), Vol. 22, No. 1, 2005
Abstract: In the solution of streamflow problems, fully distributed hydrologic models (DHMs), which are based directly on governing equations, offer distinct advantages over conceptual rainfall-runoff models, which are derived from empirical observations. However, the primary problem associated with DHMs is that they consume more computational resources than other models, and as a result, they have not been as popular as their capabilities would imply. A parallel DHM software system for solving streamflow prediction problems has been implemented and analysed, and an investigation has been conducted of: the efficiency and scalability of the algorithm; load balancing among processors; interprocessor communication; disk performance. The load balancing algorithms show great promise for the kind of problem addressed. The software exhibits substantial parallel speedup, but the degree of speedup is limited by I/O costs.
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