Performance evaluation of DIRECT algorithm in parallel optimization for a thermohydrodynamic lubrication analysis

Chih Ming Tsai*, Nenzi Wang, Yau Zen Chang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this study the optimization is illustrated by maximizing the load-carrying capacity of a slider bearing represented by a thermohydrodynamic lubrication model. An efficient optimization scheme, Dividing RECTangles (DIRECT), is coded for parallel computing in a single-system image cluster. The main focus of this study was to examine the performance of the standard DIRECT algorithm in coarse-grained parallelism. The parallel efficiency is compared with the results obtained in recent studies of air bearing optimization by using a genetic algorithm and a divide-and-conquer scheme. It was found that the limited possibility for parallelism of the standard DIRECT algorithm contributes somewhat small parallel efficiency.

Original languageEnglish
Title of host publicationProceedings of the World Tribology Congress III - 2005
PublisherAmerican Society of Mechanical Engineers
Pages57-58
Number of pages2
ISBN (Print)0791842029, 9780791842027
DOIs
StatePublished - 2005
Event2005 World Tribology Congress III - Washington, D.C., United States
Duration: 12 09 200516 09 2005

Publication series

NameProceedings of the World Tribology Congress III - 2005

Conference

Conference2005 World Tribology Congress III
Country/TerritoryUnited States
CityWashington, D.C.
Period12/09/0516/09/05

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