An efficient version of the RMA-11 model
Abstract RMA-11 is a numerical model widely used for studing the transport of constituents and water quality in rivers and estuaries. When applied to large water systems like the Río de la Plata, RMA-11 demands long execution times to compute a simulation. This paper presents the analysis of the computational efficiency for the RMA-11 applied to a transport model of the Río de la Plata, and introduces a proposal for improving the efficiency by using high performance computing techniques. The improved implementation modifies the linear system resolution methodology implemented in the model. A high performance computing strategy was applied to the FRONTALL routine of the RMA-11, by changing their logical structure and using a sparse storage format. The experimental results obtained when solving representative test cases show a significant improvement on the performance, achieving significant gains in computational speed: the execution time of the implemented version decreased up to one third of the time of the original implementation.
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Centro Latinoamericano de Estudios en Informática
2011
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Online Access: | http://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S0717-50002011000200004 |
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oai:scielo:S0717-500020110002000042015-10-22An efficient version of the RMA-11 modelEzzatti,PabloFossati,MónicaPiedra-Cueva,Ismael computational fluid dynamics transport numerical model high performance computing Abstract RMA-11 is a numerical model widely used for studing the transport of constituents and water quality in rivers and estuaries. When applied to large water systems like the Río de la Plata, RMA-11 demands long execution times to compute a simulation. This paper presents the analysis of the computational efficiency for the RMA-11 applied to a transport model of the Río de la Plata, and introduces a proposal for improving the efficiency by using high performance computing techniques. The improved implementation modifies the linear system resolution methodology implemented in the model. A high performance computing strategy was applied to the FRONTALL routine of the RMA-11, by changing their logical structure and using a sparse storage format. The experimental results obtained when solving representative test cases show a significant improvement on the performance, achieving significant gains in computational speed: the execution time of the implemented version decreased up to one third of the time of the original implementation.info:eu-repo/semantics/openAccessCentro Latinoamericano de Estudios en InformáticaCLEI Electronic Journal v.14 n.2 20112011-08-01info:eu-repo/semantics/articletext/htmlhttp://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S0717-50002011000200004en |
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Ezzatti,Pablo Fossati,Mónica Piedra-Cueva,Ismael |
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Ezzatti,Pablo Fossati,Mónica Piedra-Cueva,Ismael An efficient version of the RMA-11 model |
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Ezzatti,Pablo Fossati,Mónica Piedra-Cueva,Ismael |
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Ezzatti,Pablo |
title |
An efficient version of the RMA-11 model |
title_short |
An efficient version of the RMA-11 model |
title_full |
An efficient version of the RMA-11 model |
title_fullStr |
An efficient version of the RMA-11 model |
title_full_unstemmed |
An efficient version of the RMA-11 model |
title_sort |
efficient version of the rma-11 model |
description |
Abstract RMA-11 is a numerical model widely used for studing the transport of constituents and water quality in rivers and estuaries. When applied to large water systems like the Río de la Plata, RMA-11 demands long execution times to compute a simulation. This paper presents the analysis of the computational efficiency for the RMA-11 applied to a transport model of the Río de la Plata, and introduces a proposal for improving the efficiency by using high performance computing techniques. The improved implementation modifies the linear system resolution methodology implemented in the model. A high performance computing strategy was applied to the FRONTALL routine of the RMA-11, by changing their logical structure and using a sparse storage format. The experimental results obtained when solving representative test cases show a significant improvement on the performance, achieving significant gains in computational speed: the execution time of the implemented version decreased up to one third of the time of the original implementation. |
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Centro Latinoamericano de Estudios en Informática |
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2011 |
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http://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S0717-50002011000200004 |
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