Scalability potential of multi-core architecture in a neuro-fuzzy system

Martha Cárdenas, Juan Tapia, Roberto Sepúlveda, Oscar Montiel, Patricia Melín

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Parallelism in hardware and software is necessary to solve aplications that require high processing. Parallel computers provide great amounts of computing power, the multi-core technology will be designed to increase performance and minimize heat. This paper shows the performance improvements with multi-core architecture and parallel programming applied in a Multiple Adaptive Neuro-Fuzzy Inference System, obtaining with this a significantly reduction of the processing time. In addition, it shows the comparison between the non-parallel and parallel implementation and the results obtained.

Original languageEnglish
Title of host publicationSoft Computing for Hybrid Intelligent Systems
EditorsOscar Castillo, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz
Pages315-323
Number of pages9
DOIs
StatePublished - 2008
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume154
ISSN (Print)1860-949X

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