Publication detail

Resynthesis of logic circuits using machine learning and reconvergent paths

KOCNOVÁ, J. VAŠÍČEK, Z.

Original Title

Resynthesis of logic circuits using machine learning and reconvergent paths

Type

conference paper

Language

English

Original Abstract

Boolean network scoping represents a common approach incorporated in conventional synthesis tools for maintaining good scalability of the synthesis process. Recently, an approach to the local resynthesis based on combination of evolutionary optimization with the principle of Boolean network scoping has been proposed. Local resynthesis is an iterative process based on the extraction of smaller sub-circuits from a complex circuit that are optimized locally and implanted back to the original circuit. The main advantage of the local resynthesis is that it can mitigate the problem of scalability of representation which is typical to the evolutionary algorithms as the efficiency of the evolutionary optimization applied at the global level deteriorates with the increasing circuit complexity. Unfortunately, the efficiency of local resynthesis depends on the efficiency of the sub-circuit extraction process. We propose an alternative method, based on the reconvergent paths. The evaluation is performed on a set of highly optimized benchmark problems representing various real-world controllers, logic and arithmetic circuits. The method provides better results compared to the state-of-the-art logic synthesis tool and evolutionary optimization techniques operating locally and globally. A substantially higher number of redundant gates was removed in more than 70% cases, while keeping the computational effort at the same level. A huge improvement was achieved especially for the controllers. On average, the proposed method was able to remove more than 14.3% of gates. The highest achieved gate reduction was more than 45% of gates.

Keywords

Logic optimization, Cartesian Genetic Programming, Evolutionary Resynthesis S.N. 15.03.2022 Doplněno EID Scopus.

Authors

KOCNOVÁ, J.; VAŠÍČEK, Z.

Released

1. 9. 2021

Publisher

Institute of Electrical and Electronics Engineers

Location

Palermo

ISBN

978-1-6654-2704-3

Book

2021 24th Euromicro Conference on Digital System Design (DSD)

Pages from

69

Pages to

76

Pages count

8

URL

https://www.fit.vut.cz/research/publication/12490/

BibTex

@inproceedings{BUT175780,
  author="Jitka {Kocnová} and Zdeněk {Vašíček}",
  title="Resynthesis of logic circuits using machine learning and reconvergent paths",
  booktitle="2021 24th Euromicro Conference on Digital System Design (DSD)",
  year="2021",
  pages="69--76",
  publisher="Institute of Electrical and Electronics Engineers",
  address="Palermo",
  doi="10.1109/DSD53832.2021.00020",
  isbn="978-1-6654-2704-3",
  url="https://www.fit.vut.cz/research/publication/12490/"
}

Documents

conference_101719.pdf