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. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Hidalgo, J. I., Fernandez, F., Lanchares, J., Sánchez, J. M., Hermida, R., Tomassini, M., … Garnica, O. (2003). Multi-FPGA systems synthesis by means of evolutionary computation. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2724, 2109–2120. https://doi.org/10.1007/3-540-45110-2_107
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