An SMT Encoding of LLVM’s Memory Model for Bounded Translation Validation
Juneyoung Lee, Dongjoo Kim, Chung-Kil Hur, Nuno P. Lopes · Lecture notes in computer science · 2021
Abstract Several automatic verification tools have been recently developed to verify subsets of LLVM’s optimizations. However, none of these tools has robust support to verify memory optimizations. In this paper, we present the first SMT encoding of LLVM’s memory model that 1) is sufficiently precise to validate all of LLVM’s intra-procedural memory optimizations, and 2) enables bounded translation validation of programs with up to hundreds of thousands of lines of code. We implemented our new encoding in Alive2, a bounded translation validation tool, and used it to uncover 21 new bugs in LLVM memory optimizations, 10 of which have been already fixed. We also found several inconsistencies in LLVM IR’s official specification document (LangRef) and fixed LLVM’s code and the document so they are in agreement.