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KOCNOVÁ, J. VAŠÍČEK, Z.
Original Title
EA-based refactoring of mapped logic circuits
Type
conference paper
Language
English
Original Abstract
The increasing complexity of the designs and prob-lematic scalability of original representations led to a shift ininternal representations used in logic synthesis and optimization. Heterogeneous representations were replaced with homogeneous intermediate representations. And-inverter graph (AIG) has been identified as the most promising structure for scalable logic optimization and many efficient algorithms were implemented on top of it. However, the inability of AIG to efficiently represent XOR gates together with heuristic nature of logic optimization algorithms leads to some inefficiency causing that the logic can be further minimized even after it has been mapped. This paper presents an optimization technique based on refactoring targeting mapped combinational circuits. It iteratively selects large cones of logic, optimizes them and returns them back to the original structure provided that there is an improvement in some metric.Performance of the method is evaluated on a set of complex academic and industrial benchmarks. We show that a 9.2%reduction in area can be achieved in average compared to thehighly optimized results obtained using the academic state-of-the-art synthesis tool. In average, more than 14% reduction was observed for arithmetic circuits.
Keywords
Cartesian Genetic Programming, Resynthesis, Logic optimization
Authors
KOCNOVÁ, J.; VAŠÍČEK, Z.
Released
1. 5. 2019
Publisher
IEEE Computer Society Press
Location
Red Hook, NY
ISBN
978-1-7281-0397-6
Book
2019 IEEE International Symposium on Circuits and Systems (ISCAS)
Pages from
1
Pages to
5
Pages count
URL
https://www.fit.vut.cz/research/publication/11847/
BibTex
@inproceedings{BUT158068, author="Jitka {Kocnová} and Zdeněk {Vašíček}", title="EA-based refactoring of mapped logic circuits", booktitle="2019 IEEE International Symposium on Circuits and Systems (ISCAS)", year="2019", pages="1--5", publisher="IEEE Computer Society Press", address="Red Hook, NY", doi="10.1109/ISCAS.2019.8702084", isbn="978-1-7281-0397-6", url="https://www.fit.vut.cz/research/publication/11847/" }