Detail výsledku

Impact of subcircuit selection on the efficiency of CGP-based optimization of gate-level circuits

KOCNOVÁ, J.; VAŠÍČEK, Z. Impact of subcircuit selection on the efficiency of CGP-based optimization of gate-level circuits. In GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery, 2019. p. 377-378. ISBN: 978-1-4503-6748-6.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Abstrakt

Various EA-based methods have been applied to design and optimize logic circuits since the early nineties. The unconventional methods, however, typically suffer from various scalability issues preventing them to be adopted in practice. Recent improvement in the fitness computation procedure connected with the introduction of formal methods in the fitness evaluation such as SAT solvers or BDDs enabled pushing of the limits forward and approaching the complexity of industrial problems. It was demonstrated that EAs can be applied to optimize gate-level circuits consisting of thousands of gates without introducing any decomposition technique. Despite that, the efficiency decreases with increasing the circuit complexity. This problem can be managed by adopting the concept of the so-called iterative resynthesis based on the extraction of smaller sub-circuits from a complex circuit, their local optimization followed by the implantation back to the original circuit. Recently, a method based on the computation of so-called cuts was proposed. In this paper, we propose an alternative approach which is able to select more complex sub-graphs consisting of more nodes and more inputs. Compared to the previous method, the proposed approach allows to improve the efficiency of the optimization. More than 9% and 20% reduction was observed on the highly optimized logic and arithmetic circuits, respectively.

Klíčová slova

Cartesian Genetic Programming, Logic Synthesis, CombinationalCircuits

Rok
2019
Strany
377–378
Sborník
GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion
Konference
The Genetic and Evolutionary Computation Conference GECCO 2019
ISBN
978-1-4503-6748-6
Vydavatel
Association for Computing Machinery
Místo
New York
DOI
UT WoS
000538328100188
EID Scopus
BibTeX
@inproceedings{BUT158075,
  author="Jitka {Kocnová} and Zdeněk {Vašíček}",
  title="Impact of subcircuit selection on the efficiency of CGP-based optimization of gate-level circuits",
  booktitle="GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion",
  year="2019",
  pages="377--378",
  publisher="Association for Computing Machinery",
  address="New York",
  doi="10.1145/3319619.3321926",
  isbn="978-1-4503-6748-6",
  url="https://www.fit.vut.cz/research/publication/11921/"
}
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IT4Innovations excellence in science, MŠMT, Národní program udržitelnosti II, LQ1602, zahájení: 2016-01-01, ukončení: 2020-12-31, ukončen
Pokročilé metody nature-inspired optimalizačních algoritmů a HPC implementace pro řešení reálných aplikací, MŠMT, INTER-EXCELLENCE - Podprogram INTER-COST, LTC18053, zahájení: 2018-06-01, ukončení: 2020-02-29, ukončen
Pokročilé paralelní a vestavěné počítačové systémy, VUT, Vnitřní projekty VUT, FIT-S-17-3994, zahájení: 2017-03-01, ukončení: 2020-02-29, ukončen
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