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2020 | OriginalPaper | Chapter

Optimizing Water Cooling Applications on Shared Memory Systems

Authors : Edson Luiz Padoin, Andressa Tais Diefenthaler, Matheus S. Serpa, Pablo José Pavan, Emmanuell D. Carreño, Philippe O. A. Navaux, Jean-François Mehaut

Published in: High Performance Computing

Publisher: Springer International Publishing

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Abstract

The Network Search method is not yet widely used in computational simulations due to its high processing time in the solutions’ calculation. In this sense, this paper seeks to analyze the gains achieved with the parallel implementation of the Network Search method algorithm for shared memory systems. The results achieved with the parallel implementation of the algorithm applied in a real water cooling system achieved a reduction of the total execution time by up to 160 times and reduction of energy consumption by up to 60 times. Given the significant reduction of the execution time achieved with the parallelization of the Network Search method, it can be applied in different scientific problems in substitution of other methods that have less accuracy in their results.

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Metadata
Title
Optimizing Water Cooling Applications on Shared Memory Systems
Authors
Edson Luiz Padoin
Andressa Tais Diefenthaler
Matheus S. Serpa
Pablo José Pavan
Emmanuell D. Carreño
Philippe O. A. Navaux
Jean-François Mehaut
Copyright Year
2020
Book
High Performance Computing

Print ISBN: 978-3-030-41004-9

Electronic ISBN: 978-3-030-41005-6

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-41005-6_1

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