App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 5

CCSAT: circuit-based SAT solver using conflict-driven clause learning

Luo Mao1
Chen Runyao1
Huang Yiwen2
Wu Xinyun1
Xiong Caiquan1
Ke Yuanzhi1
1. School of Computer, Hubei University of Technology, Wuhan 430068, China
2. School of Computer Science & Technology, Huazhong University of Science and Technology, Wuhan 430074, China
DOI: 10.19734/j.issn.1001-3695.2025.09.0387

Abstract

Boolean satisfiability problem (SAT) solvers are widely used in electronic design automation (EDA) . Current mainstream SAT solvers require input instances in conjunctive normal form (CNF) . However, encoding a circuit’s and-inverter graph (AIG) into CNF disrupts the structural information of the original circuit, thereby impairing the efficiency of solving circuit equivalence verification problems. To address this issue, designs and implements a circuit SAT solver that directly parses circuit structure files. Built on the conflict-driven clause learning (CDCL) framework, the proposed solver incorporates circuit structural characteristics and integrates a learned clause deletion strategy, a restart mechanism, and a branching strategy based on circuit node activity. Experimental results on equivalence verification using ISCAS'85/89 benchmark circuits demonstrate that each optimization module significantly enhances performance. In particular, the branching strategy achieves over 100× speedup on multiple circuits, validating the feasibility of performing equivalence verification directly on circuit structures.

Foundation Support

国家自然科学基金资助项目(62402164)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.09.0387
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 5

Publish History

[2026-01-15] Accepted Paper

Cite This Article

罗茂, 陈润尧, 黄意雯, 等. CCSAT：基于冲突驱动子句学习的电路求解器 [J]. 计算机应用研究, 2026, 43 (5). (2026-01-20). https://doi.org/10.19734/j.issn.1001-3695.2025.09.0387. (Luo Mao, Chen Runyao, Huang Yiwen, et al. CCSAT: circuit-based SAT solver using conflict-driven clause learning [J]. Application Research of Computers, 2026, 43 (5). (2026-01-20). https://doi.org/10.19734/j.issn.1001-3695.2025.09.0387. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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