Targeted Configuration of an SMT Solver
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F22%3A00364206" target="_blank" >RIV/68407700:21730/22:00364206 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-16681-5_18" target="_blank" >https://doi.org/10.1007/978-3-031-16681-5_18</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-16681-5_18" target="_blank" >10.1007/978-3-031-16681-5_18</a>
Alternative languages
Result language
angličtina
Original language name
Targeted Configuration of an SMT Solver
Original language description
We present a generic method to configure an automated reasoning solver in order to increase its performance on selected target problems. We describe a strategy invention system Grackle that is designed to invent a set of strong and complementary solver strategies. The strategies are then used to train a gradient boosted decision tree model to select the best strategy for a specific input problem. We evaluate our method on the SMT solver Bitwuzla and we obtain a significant increase in the number of solved problems, and a substantial decrease in runtime.
Czech name
—
Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LL1902" target="_blank" >LL1902: Powering SMT Solvers by Machine Learning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings - Intelligent Computer Mathematics 15th International Conference, CICM 2022
ISBN
978-3-031-16680-8
ISSN
0302-9743
e-ISSN
0302-9743
Number of pages
16
Pages from-to
256-271
Publisher name
Springer
Place of publication
Cham
Event location
Tbilisi
Event date
Sep 19, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000870055900018