Hidalgo Ji, 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.
Publisher: Springer-Verlag
@inproceedings{oai:it.cnr:prodotti:44094, title = {Multi-FPGA Systems Synthesis by Means of Evolutionary Computation}, author = {Hidalgo Ji 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-Verlag}, year = {2003} }