Lash 1.0 (System Description)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F22%3A00364227" target="_blank" >RIV/68407700:21730/22:00364227 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-10769-6_21" target="_blank" >https://doi.org/10.1007/978-3-031-10769-6_21</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-10769-6_21" target="_blank" >10.1007/978-3-031-10769-6_21</a>
Alternative languages
Result language
angličtina
Original language name
Lash 1.0 (System Description)
Original language description
Lash is a higher-order automated theorem prover created as a fork of the theorem prover Satallax. The basic underlying calculus of Satallax is a ground tableau calculus whose rules only use shallow information about the terms and formulas taking part in the rule. Lash uses new, efficient C representations of vital structures and operations. Most importantly, Lash uses a C representation of (normal) terms with perfect sharing along with a C implementation of normalizing substitutions. We describe the ways in which Lash differs from Satallax and the performance improvement of Lash over Satallax when used with analogous flag settings. With a 10 s timeout Lash outperforms Satallax on a collection TH0 problems from the TPTP. We conclude with ideas for continuing the development of Lash.
Czech name
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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
IJCAR 2022: Automated Reasoning
ISBN
978-3-031-10768-9
ISSN
0302-9743
e-ISSN
—
Number of pages
9
Pages from-to
350-358
Publisher name
Springer
Place of publication
Cham
Event location
Haifa
Event date
Aug 7, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000876376400021