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Descripción
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| Networks of Evolutionary Processors (NEP) are a bio-inspired computational model able to solve NP complete problems in an e?cient manner. Up to now, the only way to analyze and execute these devices is through hardware and software simulators able to encapsulate the inherent parallelism and the e?ciency in their computations. Nowadays, simulators for these models only cover many software applications developed under sequential/parallel architectures over multicore desktop computers or clusters of computers. Most of them, are not able to handle the size of non trivial problems within a massively parallel environment. We consider that cloud computation o ers an interesting and promising option to overcome the drawbacks of these solutions. In this paper, we propose a novel parallel distributed architecture to simulate NEPs using on-demand cloud elastic computation. A exible and extensible simulator is developed in order to demonstrate the suitability and scalability of our architecture with several variants of NEP. | |
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Internacional
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Si |
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Nombre congreso
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13th International Work-Conference on Artificial Neural Networks - IWANN ( (Alpha Core Ranking: CORE B) |
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Tipo de participación
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960 |
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Lugar del congreso
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Palma de Mallorca, España |
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Revisores
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Si |
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ISBN o ISSN
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978-3-319-19257-4 |
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DOI
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10.1007/978-3-319-19258-1_4 |
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Fecha inicio congreso
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10/06/2015 |
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Fecha fin congreso
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12/06/2015 |
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Desde la página
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40 |
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Hasta la página
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54 |
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Título de las actas
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Advances in Computational Intelligence Lecture Notes in Computer Science 9094, Springer 2015 |