Optimizing Water Cooling Applications on Shared Memory Systems
Autor: | Andressa Tais Diefenthaler, Matheus da Silva Serpa, Jean-François Méhaut, Philippe O. A. Navaux, Emmanuell D. Carreno, Pablo José Pavan, Edson Luiz Padoin |
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Rok vydání: | 2020 |
Předmět: |
Computer science
Substitution (logic) 010103 numerical & computational mathematics 02 engineering and technology Parallel computing Energy consumption Supercomputer 01 natural sciences Execution time 020202 computer hardware & architecture Reduction (complexity) Shared memory 0202 electrical engineering electronic engineering information engineering Water cooling 0101 mathematics |
Zdroj: | Communications in Computer and Information Science ISBN: 9783030410049 CARLA |
Popis: | 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. |
Databáze: | OpenAIRE |
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