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https://doi.org/10.1109/dac638...
Article . 2025 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2025
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ELF: Efficient Logic Synthesis by Pruning Redundancy in Refactoring

Authors: Tsaras, Dimitris; Li, Xing; Chen, Lei; Xie, Zhiyao; Yuan, Mingxuan;

ELF: Efficient Logic Synthesis by Pruning Redundancy in Refactoring

Abstract

In electronic design automation, logic optimization operators play a crucial role in minimizing the gate count of logic circuits. However, their computation demands are high. Operators such as refactor conventionally form iterative cuts for each node, striving for a more compact representation - a task which often fails 98% on average. Prior research has sought to mitigate computational cost through parallelization. In contrast, our approach leverages a classifier to prune unsuccessful cuts preemptively, thus eliminating unnecessary resynthesis operations. Experiments on the refactor operator using the EPFL benchmark suite and 10 large industrial designs demonstrate that this technique can speedup logic optimization by 3.9x on average compared with the state-of-the-art ABC implementation.

Accepted to DAC 2025

Related Organizations
Keywords

Machine Learning, Hardware Architecture, FOS: Computer and information sciences, Emerging Technologies (cs.ET), Hardware Architecture (cs.AR), Emerging Technologies, Machine Learning (cs.LG)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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