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

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU132975" target="_blank" >RIV/00216305:26230/19:PU132975 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://www.fit.vut.cz/research/publication/11921/" target="_blank" >https://www.fit.vut.cz/research/publication/11921/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3319619.3321926" target="_blank" >10.1145/3319619.3321926</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

    Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2019

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion

  • ISBN

    978-1-4503-6748-6

  • ISSN

  • e-ISSN

  • Počet stran výsledku

    2

  • Strana od-do

    377-378

  • Název nakladatele

    Association for Computing Machinery

  • Místo vydání

    New York

  • Místo konání akce

    Praha

  • Datum konání akce

    13. 7. 2019

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku

    000538328100188