Overview

TIUP is a technique for effective processor verification using tautology-induced universal properties. It was introduced to address challenges in formal verification of large and intricate processor designs, where verification is described as complex, costly, and demanding in terms of labor and expertise for property formulation. [C1]

The technique uses tautologies as universal properties. In the cited abstract, these tautologies are described as abstract specifications that can cover processor data paths and control paths. [C2]

Motivation

Formal verification can thoroughly examine design behaviors, but the source paper notes that it requires extensive labor and expertise in property formulation. Prior work discussed in the abstract focused on the self-consistency universal property, which reduces verification difficulty because it is design-independent. However, the abstract identifies two problems with using a single self-consistency property: false positives and scalability issues caused by exponential state-space growth. [C3]

TIUP is presented as a response to those problems: instead of relying on one self-consistency universal property, it introduces tautology-based universal properties for processor verification. [C4]

Technical role

Within the available evidence, TIUP’s central technical idea is to treat tautologies as universal properties and use them as abstract specifications. The stated verification coverage includes both:

• processor data paths;
• processor control paths. [C2]

This framing is intended to simplify and streamline verification work for engineers and to enable efficient formal processor verification. [C5]

Publication information

The arXiv record identifies the work as “TIUP: Effective Processor Verification with Tautology-Induced Universal Properties” by Yufeng Li, Yiwei Ci, and Qiusong Yang. The record lists arXiv identifier 2404.17094, arXiv DOI 10.48550/arXiv.2404.17094, and related DOI 10.1109/ASP-DAC58780.2024.10473912. [C6]

The arXiv page also states that the paper was accepted by ASP-DAC 2024 and notes that the version shown is not the final camera-ready version. Its listed subjects are Logic in Computer Science, Hardware Architecture, and Systems and Control. [C7]