GPU Acceleration of Bounded Model Checking with ParaFROST

Author:

Osama MuhammadORCID,Wijs AntonORCID

Abstract

AbstractThe effective parallelisation of Bounded Model Checking is challenging, due to SAT and SMT solving being hard to parallelise. We present ParaFROST, which is the first tool to employ a graphics processor to accelerate BMC, in particular the simplification of SAT formulas before and repeatedly during the solving, known as pre- and inprocessing. The solving itself is performed by a single CPU thread. We explain the design of the tool, the data structures, and the memory management, the latter having been particularly designed to handle SAT formulas typically generated for BMC, i.e., that are large, with many redundant variables. Furthermore, the solver can make multiple decisions simultaneously. We discuss experimental results, having applied ParaFROST on programs from the Core C99 package of Amazon Web Services.

Publisher

Springer International Publishing

Reference42 articles.

1. Ábrahám, E., Schubert, T., Becker, B., Fränzle, M., Herde, C.: Parallel SAT solving in bounded model checking. J. Logic Comput. 21(1), 5–21 (2009)

2. Amazon: The Amazon Web Services Core C99 Package Benchmark Set (2021). https://github.com/awslabs/aws-c-common/tree/main/verification/cbmc/proofs

3. Audemard, G., Simon, L.: Predicting Learnt Clauses Quality in Modern SAT Solvers. In: IJCAI, pp. 399–404. Morgan Kaufmann Publishers Inc. (2009)

4. Bal, H., et al.: A medium-scale distributed system for computer science research: infrastructure for the long term. IEEE Comput. 49(5), 54–63 (2016)

5. Lecture Notes in Computer Science;A Biere,1999

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Certified SAT solving with GPU accelerated inprocessing;Formal Methods in System Design;2023-08-02

2. Innermost many-sorted term rewriting on GPUs;Science of Computer Programming;2023-01

3. Maximum Satisfiability of Mission-Time Linear Temporal Logic;Lecture Notes in Computer Science;2023

4. GPUexplore 3.0: GPU Accelerated State Space Exploration for Concurrent Systems with Data;Model Checking Software;2023

5. A GPU Tree Database for Many-Core Explicit State Space Exploration;Tools and Algorithms for the Construction and Analysis of Systems;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3