Tutorial on World-Level Model Checking

Armin Biere
{"title":"Tutorial on World-Level Model Checking","authors":"Armin Biere","doi":"10.34727/2020/isbn.978-3-85448-042-6_3","DOIUrl":null,"url":null,"abstract":"In SMT bit-vectors and thus word-level reasoning is common and widely used in industry. However, it took until 2019 that the hardware model checking competition started to use word-level benchmarks. Reasoning on the word-level opens up many possibilities for simplification and more powerful reasoning. In SMT we do see advantages due to operating on the word-level, even though, ultimately, bit-blasting and thus transforming the word-level problem into SAT is still the dominant and most important technique. For word-level model checking the situation is different. As the hardware model checking competition in 2019 has shown bit-level solvers are far superior (after bit-blasting the model through an SMT solver though). On the other hand word-level model checking shines for problems with memory modeled with arrays. In this tutorial we revisit the problem of word level model checking, also from a theoretical perspective, give an overview on classical and more recent approaches for word-level model checking and then discuss challenges and future work. The tutorial covered material from the following papers.","PeriodicalId":105705,"journal":{"name":"2020 Formal Methods in Computer Aided Design (FMCAD)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Formal Methods in Computer Aided Design (FMCAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34727/2020/isbn.978-3-85448-042-6_3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In SMT bit-vectors and thus word-level reasoning is common and widely used in industry. However, it took until 2019 that the hardware model checking competition started to use word-level benchmarks. Reasoning on the word-level opens up many possibilities for simplification and more powerful reasoning. In SMT we do see advantages due to operating on the word-level, even though, ultimately, bit-blasting and thus transforming the word-level problem into SAT is still the dominant and most important technique. For word-level model checking the situation is different. As the hardware model checking competition in 2019 has shown bit-level solvers are far superior (after bit-blasting the model through an SMT solver though). On the other hand word-level model checking shines for problems with memory modeled with arrays. In this tutorial we revisit the problem of word level model checking, also from a theoretical perspective, give an overview on classical and more recent approaches for word-level model checking and then discuss challenges and future work. The tutorial covered material from the following papers.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
世界级别的模型检查教程
在SMT中,位向量推理和字级推理在工业中是常见和广泛应用的。然而,直到2019年,硬件模型检查竞赛才开始使用单词级基准。单词级别的推理为简化和更强大的推理提供了许多可能性。在SMT中,我们确实看到了由于在字级上操作而带来的优势,尽管最终,将字级问题转化为SAT仍然是主要和最重要的技术。对于词级模型检查,情况就不同了。正如2019年硬件模型检查竞赛所显示的那样,比特级求解器要优越得多(尽管是在通过SMT求解器对模型进行比特爆破之后)。另一方面,字级模型检查对于用数组建模的内存问题很有用。在本教程中,我们将从理论角度重新审视词级模型检查问题,概述经典和最新的词级模型检查方法,然后讨论挑战和未来的工作。本教程涵盖了以下论文中的材料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Using model checking tools to triage the severity of security bugs in the Xen hypervisor Smart Induction for Isabelle/HOL (Tool Paper) Selecting Stable Safe Configurations for Systems Modelled by Neural Networks with ReLU Activation SYSLITE: Syntax-Guided Synthesis of PLTL Formulas from Finite Traces Anytime Algorithms for MaxSAT and Beyond
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1