Tutorial on World-Level Model Checking

Armin Biere
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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.
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。
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