Publication Details
Parallel Optimization of Transistor Level Circuits using Cartesian Genetic Programming
Evolutionary optimization, transistor-level, parallel systems, digital circuits
The aim of the paper is to introduce a new parallel approach to evolutionary optimization of digital circuits described on transistor level. The evolutionary optimization is guided by the fitness function employing a simulator of candidate circuits. A new discrete simulator was introduced to achieve a good trade-off between precision and cost of circuit evaluations. The simulator is based on event-driven simulation. Precise numeric SPICE simulator is regularly called to validate simulation results. To increase the speed of evolution, three parallel approaches were proposed: (i) thread level parallelism, (ii) multiple computing nodes which collectively communicate and distribute the best solution, and (iii) client-server architecture eliminating a limited count of SPICE simulator instances.
@INPROCEEDINGS{FITPUB11377, author = "Vojt\v{e}ch Mr\'{a}zek and Zden\v{e}k Va\v{s}\'{i}\v{c}ek", title = "Parallel Optimization of Transistor Level Circuits using Cartesian Genetic Programming", pages = "1849--1856", booktitle = "GECCO Companion '17 Proceedings of the Companion Publication of the 2017 on Genetic and Evolutionary Computation Conference", year = 2017, location = "Berlin, DE", publisher = "Association for Computing Machinery", ISBN = "978-1-4503-4939-0", doi = "10.1145/3067695.3084212", language = "english", url = "https://www.fit.vut.cz/research/publication/11377" }