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.
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Cárdenas, M., Tapia, J., Sepúlveda, R., Montiel, O., Melín, P. (2008). Scalability Potential of Multi-core Architecture in a Neuro-Fuzzy System. In: Castillo, O., Melin, P., Kacprzyk, J., Pedrycz, W. (eds) Soft Computing for Hybrid Intelligent Systems. Studies in Computational Intelligence, vol 154. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70812-4_18
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DOI: https://doi.org/10.1007/978-3-540-70812-4_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70811-7
Online ISBN: 978-3-540-70812-4
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