Speeding up SMT Solving via Compiler Optimization

Author:

Mikek Benjamin1,Zhang Qirun1

Affiliation:

1. Georgia Institute of Technology, Atlanta, USA

Funder

NSF (National Science Foundation)

Defense Advanced Research Projects Agency

Publisher

ACM

Reference46 articles.

1. Mislav Balunovic , Pavol Bielik , and Martin T. Vechev . 2018. Learning to Solve SMT Formulas . In Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018 , NeurIPS 2018 , December 3-8, 2018, Montréal, Canada. 10338–10349. Mislav Balunovic, Pavol Bielik, and Martin T. Vechev. 2018. Learning to Solve SMT Formulas. In Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada. 10338–10349.

2. cvc5: A Versatile and Industrial-Strength SMT Solver

3. Clark Barrett , Pascal Fontaine , and Cesare Tinelli . 2017. The SMT-LIB Standard: Version 2.6. Department of Computer Science , The University of Iowa . Available at www.SMT-LIB.org Clark Barrett, Pascal Fontaine, and Cesare Tinelli. 2017. The SMT-LIB Standard: Version 2.6. Department of Computer Science, The University of Iowa. Available at www.SMT-LIB.org

4. Edmund M. Clarke, Thomas A. Henzinger, Helmut Veith, and Roderick Bloem (eds):Handbook of model checking

5. Z3str3: A String Solver with Theory-aware Heuristics

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1. SMT Theory Arbitrage: Approximating Unbounded Constraints using Bounded Theories;Proceedings of the ACM on Programming Languages;2024-06-20

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