PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Hidalgo J. I., Fernández F., Lanchares J., Sánchez J. M., Hermida R., Tommassini M., Baraglia R., Perego R., Garnica O. Multi-FPGA Systems Synthesis by Means of Evolutionary Computation. In: Genetic and Evolutionary Computing COmputing (GECCO 2003) (Chicago, Illinois, 12-16 July 2003). Proceedings, pp. 2109 - 2120. Erick Cantů-Paz et al. (eds.). (Lecture Notes in Computer Science, vol. 2724). Springer-Verlag, 2003.
 
 
Abstract
(English)
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.
URL: http://link.springer.de/link/service/series/0558/tocs/t2723.htm
Subject Multi-FPGA
Compact genetic algorithms
Hardware Re-configuration
B.7.2 Design Aids. Placement and routing
D.2.2 Design Tools and Techniques. Evolutionary prototyping
I.2.8 Problem Solving, Control Methods, and Search. Heuristic method


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