分布式条款共享SAT求解器的不满足证明。

IF 0.9 3区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal of Automated Reasoning Pub Date : 2025-01-01 Epub Date: 2025-05-27 DOI:10.1007/s10817-025-09725-w
Dawn Michaelson, Dominik Schreiber, Marijn J H Heule, Benjamin Kiesl-Reiter, Michael W Whalen
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引用次数: 0

摘要

分布式条款共享SAT求解器通过在多个顺序求解器之间共享衍生信息,可以比顺序求解器更快地解决具有挑战性的问题。然而,与顺序求解器不同,分布式求解器不能以可伸缩的方式产生不满意的证明,这限制了它们在关键应用程序中的使用。在这项工作中,我们提出了一种方法,通过将每个顺序求解器产生的部分证明组合成一个单一的线性证明,为分布式SAT求解器产生不满足性证明。我们首先描述了一个简单的顺序算法,然后提出了一个完全分布式的证明合成算法,该算法比以前的工作更具可扩展性和通用性。我们对超过1500个求解器线程的经验评估表明,我们的分布式方法允许在大约3倍于其自身(高度竞争的)求解时间内进行证明组合和检查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Producing Proofs of Unsatisfiability with Distributed Clause-Sharing SAT Solvers.

Distributed clause-sharing SAT solvers can solve challenging problems hundreds of times faster than sequential SAT solvers by sharing derived information among multiple sequential solvers. Unlike sequential solvers, however, distributed solvers have not been able to produce proofs of unsatisfiability in a scalable manner, which limits their use in critical applications. In this work, we present a method to produce unsatisfiability proofs for distributed SAT solvers by combining the partial proofs produced by each sequential solver into a single, linear proof. We first describe a simple sequential algorithm and then present a fully distributed algorithm for proof composition, which is substantially more scalable and general than prior works. Our empirical evaluation with over 1500 solver threads shows that our distributed approach allows proof composition and checking within around 3 × its own (highly competitive) solving time.

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来源期刊
Journal of Automated Reasoning
Journal of Automated Reasoning 工程技术-计算机:人工智能
CiteScore
3.60
自引率
9.10%
发文量
31
审稿时长
>12 weeks
期刊介绍: The Journal of Automated Reasoning is an interdisciplinary journal that maintains a balance between theory, implementation and application. The spectrum of material published ranges from the presentation of a new inference rule with proof of its logical properties to a detailed account of a computer program designed to solve various problems in industry. The main fields covered are automated theorem proving, logic programming, expert systems, program synthesis and validation, artificial intelligence, computational logic, robotics, and various industrial applications. The papers share the common feature of focusing on several aspects of automated reasoning, a field whose objective is the design and implementation of a computer program that serves as an assistant in solving problems and in answering questions that require reasoning. The Journal of Automated Reasoning provides a forum and a means for exchanging information for those interested purely in theory, those interested primarily in implementation, and those interested in specific research and industrial applications.
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