Multi-FPGA Systems Synthesis by Means of Evolutionary Computation
Hidalgo J. I., Fernández F., Lanchares J., Sánchez J. M., Hermida R., Tomassini M., Baraglia R., Perego R., Garnica O.
Multi-FPGA Compact genetic algorithms Hardware Re-configuration
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.
Source: Genetic and Evolutionary Computing COmputing (GECCO 2003), pp. 2109–2120, Chicago, 12-16 July 2003
Publisher: Springer, Berlin , Germania
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@inproceedings{oai:it.cnr:prodotti:44094,
title = {Multi-FPGA Systems Synthesis by Means of Evolutionary Computation},
author = {Hidalgo J. I. and Fernández F. and Lanchares J. and Sánchez J. M. and Hermida R. and Tomassini M. and Baraglia R. and Perego R. and Garnica O.},
publisher = {Springer, Berlin , Germania},
booktitle = {Genetic and Evolutionary Computing COmputing (GECCO 2003), pp. 2109–2120, Chicago, 12-16 July 2003},
year = {2003}
}
0000-0001-7189-4724