Building Better Bit-Blasting for Floating-Point Problems
- Submitting institution
-
City, University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1244
- Type
- E - Conference contribution
- DOI
-
10.1007/978-3-030-17462-0_5
- Title of conference / published proceedings
- Tools and Algorithms for the Construction and Analysis of Systems. TACAS 2019
- First page
- 79
- Volume
- 11427 LNCS
- Issue
- -
- ISSN
- 0302-9743
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Output presents novel design and implementation of tool, SymFPU, for solving long-standing floating-point problems. Output nominated best paper at TACAS (top 3%). In use, and subject to rigorous testing, SymFPU outperforms all previous tools by a significant margin. It has been independently adopted by a number of solvers (e.g. CVC4, Bitwuzla and STP). Since 2018, CVC4 and Bitwuzla have won in multiple tracks at SMT-COMP (https://smt-comp.github.io/). SymFPU powers major feature of one commercial product (SPARK Ada) used for critical UK infrastructure, and is under evaluation for other products.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
