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MRÁZEK, V.; VAŠÍČEK, Z.
Originální název
Parallel Optimization of Transistor Level Circuits using Cartesian Genetic Programming
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
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.
Anglický abstrakt
Klíčová slova
Evolutionary optimization, transistor-level, parallel systems, digitalcircuits
Klíčová slova v angličtině
Autoři
Rok RIV
2018
Vydáno
04.07.2017
Nakladatel
Association for Computing Machinery
Místo
Berlin
ISBN
978-1-4503-4939-0
Kniha
GECCO Companion '17 Proceedings of the Companion Publication of the 2017 on Genetic and Evolutionary Computation Conference
Strany od
1849
Strany do
1856
Strany počet
8
URL
https://www.fit.vut.cz/research/publication/11377/
BibTex
@inproceedings{BUT144422, author="Vojtěch {Mrázek} and Zdeněk {Vašíček}", title="Parallel Optimization of Transistor Level Circuits using Cartesian Genetic Programming", booktitle="GECCO Companion '17 Proceedings of the Companion Publication of the 2017 on Genetic and Evolutionary Computation Conference", year="2017", pages="1849--1856", publisher="Association for Computing Machinery", address="Berlin", doi="10.1145/3067695.3084212", isbn="978-1-4503-4939-0", url="https://www.fit.vut.cz/research/publication/11377/" }
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