English

ELF: Efficient Logic Synthesis by Pruning Redundancy in Refactoring

Machine Learning 2025-08-12 v1 Hardware Architecture Emerging Technologies

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.

Keywords

Cite

@article{arxiv.2508.08073,
  title  = {ELF: Efficient Logic Synthesis by Pruning Redundancy in Refactoring},
  author = {Dimitris Tsaras and Xing Li and Lei Chen and Zhiyao Xie and Mingxuan Yuan},
  journal= {arXiv preprint arXiv:2508.08073},
  year   = {2025}
}

Comments

Accepted to DAC 2025

R2 v1 2026-07-01T04:44:31.154Z