Parallel Optimization of Transistor Level Circuits using Cartesian Genetic Programming
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU126399" target="_blank" >RIV/00216305:26230/17:PU126399 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/publication/11377/" target="_blank" >https://www.fit.vut.cz/research/publication/11377/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3067695.3084212" target="_blank" >10.1145/3067695.3084212</a>
Alternative languages
Result language
angličtina
Original language name
Parallel Optimization of Transistor Level Circuits using Cartesian Genetic Programming
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
GECCO Companion '17 Proceedings of the Companion Publication of the 2017 on Genetic and Evolutionary Computation Conference
ISBN
978-1-4503-4939-0
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
1849-1856
Publisher name
Association for Computing Machinery
Place of publication
Berlin
Event location
Berlin
Event date
Jul 15, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000625865500312