Matching multiplications in bit-vector formulas

8Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Bit-vector formulas arising from hardware verification problems often contain word-level arithmetic operations. Empirical evidence shows that state-of-the-art SMT solvers are not very efficient at reasoning about bit-vector formulas with multiplication. This is particularly true when multiplication operators are decomposed and represented in alternative ways in the formula. We present a pre-processing heuristic that identifies certain types of decomposed multipliers, and adds special assertions to the input formula that encode the equivalence of sub-terms and word-level multiplication terms. The pre-processed formulas are then solved using an SMT solver. Our experiments with three SMT solvers show that our heuristic allows several formulas to be solved quickly, while the same formulas time out without the pre-processing step.

Cite

CITATION STYLE

APA

Chakraborty, S., Gupta, A., & Jain, R. (2017). Matching multiplications in bit-vector formulas. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10145 LNCS, pp. 131–150). Springer Verlag. https://doi.org/10.1007/978-3-319-52234-0_8

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free