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2020 | OriginalPaper | Buchkapitel

Optimizing Water Cooling Applications on Shared Memory Systems

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

Erschienen in: High Performance Computing

Verlag: 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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Nächstes Kapitel Collaborative Development and Use of Scientific Applications in Orlando Tools: Integration, Delivery, and Deployment
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Metadaten
Titel
Optimizing Water Cooling Applications on Shared Memory Systems
verfasst von
Edson Luiz Padoin
Andressa Tais Diefenthaler
Matheus S. Serpa
Pablo José Pavan
Emmanuell D. Carreño
Philippe O. A. Navaux
Jean-François Mehaut
Copyright-Jahr
2020
Buch
High Performance Computing

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

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

Copyright-Jahr: 2020

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