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You are here : eLibrary : IAHR World Congress Proceedings : 36th Congress - The Hague (2015) ALL CONTENT : Water resources and hydroinformatics : Parallel and distributed swmm for individual computation in a genetic algorithm
Parallel and distributed swmm for individual computation in a genetic algorithm
Author : P. LOPEZ LOPEZ (1), (2), N. WANDERS (2), E. H. SUTANUDJAJA (2), L. J. RENZULLO (3), G. STERK (2), J. SCHELLEKENS (1) & M. F. P.
ABSTRACT
Genetic Algorithms have already been successfully applied to the optimization of catchment parameters within hydrologic
systems. However, as with all genetic algorithms significant computational effort is required to compute the fitness of the
individuals within the population. We present a two stage computational scale out methodology to take the singly
threaded Storm Water Management Model (version 4.4). Firstly, we develop an OpenMP based programme to run
SWMM in parallel on a single, multi-core computer. With this wrapper we achieved linear speed up to three cores, which
peaked at a 5.5 times speed up on 12 core machine. Secondly we implement a distributed methodology to deploy the
multi-core programme across a cluster of shared workstations using the BOINC middleware. With this middleware in
place were able scavenge 20-30% of the computational resources of a 100+ node cluster with over 1000 cores. These
dual scale out methods allowed us to significantly reduce our computational runtimes and while simultaneously increasing
both the parameter space to search and the size of the population of individuals.
File Size : 706,764 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) ALL CONTENT
Article : Water resources and hydroinformatics
Date Published : 19/08/2015
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