On Logic Synthesis of Conventionally Hard to Synthesize Circuits Using Genetic Programming

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F10%3A00167768" target="_blank" >RIV/68407700:21240/10:00167768 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/DDECS.2010.5491755" target="_blank" >http://dx.doi.org/10.1109/DDECS.2010.5491755</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/DDECS.2010.5491755" target="_blank" >10.1109/DDECS.2010.5491755</a>

Jazyk výsledku

angličtina

Název v původním jazyce

On Logic Synthesis of Conventionally Hard to Synthesize Circuits Using Genetic Programming

Popis výsledku v původním jazyce

Recently, it has been shown that synthesis of some circuits is quite difficult for conventional methods. In this paper we present a method of minimization of multi-level logic networks which can solve these difficult circuit instances. The synthesis problem is transformed on the search problem. A search algorithm called Cartesian genetic programming (CGP) is applied to synthesize various difficult circuits. Conventional circuit synthesis usually fails for these difficult circuits; specific synthesis processes must be employed to obtain satisfactory results. We have found that CGP is able to implicitly discover new efficient circuit structures. Thus, it is able to optimize circuits universally, regardless their structure. The circuit optimization by CGPhas been found especially efficient when applied to circuits already optimized by a conventional synthesis. The total runtime is reduced, while the result quality is improved further more.

Název v anglickém jazyce

On Logic Synthesis of Conventionally Hard to Synthesize Circuits Using Genetic Programming

Popis výsledku anglicky

Recently, it has been shown that synthesis of some circuits is quite difficult for conventional methods. In this paper we present a method of minimization of multi-level logic networks which can solve these difficult circuit instances. The synthesis problem is transformed on the search problem. A search algorithm called Cartesian genetic programming (CGP) is applied to synthesize various difficult circuits. Conventional circuit synthesis usually fails for these difficult circuits; specific synthesis processes must be employed to obtain satisfactory results. We have found that CGP is able to implicitly discover new efficient circuit structures. Thus, it is able to optimize circuits universally, regardless their structure. The circuit optimization by CGPhas been found especially efficient when applied to circuits already optimized by a conventional synthesis. The total runtime is reduced, while the result quality is improved further more.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/GA102%2F09%2F1668" target="_blank" >GA102/09/1668: Zvyšování spolehlivosti a provozuschopnosti v obvodech SoC</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proc. of the 13th IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems

ISBN

978-1-4244-6613-9

ISSN

—

e-ISSN

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Počet stran výsledku

6

Strana od-do

346-351

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Vienna

Datum konání akce

14. 4. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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