http://www.cnr.it/ontology/cnr/individuo/prodotto/ID44094

Multi-FPGA Systems Synthesis by Means of Evolutionary Computation (Contributo in atti di convegno)

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Multi-FPGA Systems Synthesis by Means of Evolutionary Computation (Contributo in atti di convegno) (literal)

Anno

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Hidalgo J.I., Fernández F., Lanchares J., Sánchez J. M., Baraglia R., Perego R., (2003)
Multi-FPGA Systems Synthesis by Means of Evolutionary Computation
in Genetic and Evolutionary Computing COmputing (GECCO 2003)
(literal)

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Hidalgo J.I., Fernández F., Lanchares J., Sánchez J. M., Baraglia R., Perego R., (literal)

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In: Genetic and Evolutionary Computing COmputing (GECCO 2003) (Chicago, Illinois, 12-16 July 2003). Proceedings, pp. 2109 - 2120. Erick Cantù-Paz et al. (eds.). (Lecture Notes in Computer Science, vol. 2724). Springer-Verlag, 2003. (literal)

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Titolo

Abstract

Multi-FPGA systems (MFS) are used for a great variety of applications, for instance, dynamically re-configurable hardware applications, digital circuit emulation, and numerical computation. There are a great variety of boards for MFS implementation. In this paper a methodology for MFS design is presented. The techniques used are evolutionary programs and they solve all of the design tasks (partitioning placement and routing). Firstly a hybrid compact genetic algorithm solves the partitioning problem and then genetic programming is used to obtain a solution for the two other tasks. (literal)

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