Global Benchmark Database

Markus Iser, Christoph Jabs

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Sammanfattning

This paper presents Global Benchmark Database (GBD), a comprehensive suite of tools for provisioning and sustainably maintaining benchmark instances and their metadata. The availability of benchmark metadata is essential for many tasks in empirical research, e.g., for the data-driven compilation of benchmarks, the domain-specific analysis of runtime experiments, or the instance-specific selection of solvers. In this paper, we introduce the data model of GBD as well as its interfaces and provide examples of how to interact with them. We also demonstrate the integration of custom data sources and explain how to extend GBD with additional problem domains, instance formats and feature extractors.

Originalspråkengelska
Titel på värdpublikation27th International Conference on Theory and Applications of Satisfiability Testing, SAT 2024
RedaktörerSupratik Chakraborty, Jie-Hong Roland Jiang
FörlagSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
Utgivningsdatumaug. 2024
Artikelnummer18
ISBN (elektroniskt)978-3-95977-334-8
DOI
StatusPublicerad - aug. 2024
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangInternational Conference on Theory and Applications of Satisfiability Testing - Pune, Indien
Varaktighet: 21 aug. 202424 aug. 2024
Konferensnummer: 27

Publikationsserier

NamnLeibniz International Proceedings in Informatics, LIPIcs
Volym305
ISSN (tryckt)1868-8969

Bibliografisk information

Publisher Copyright:
© Markus Iser and Christoph Jabs.

Vetenskapsgrenar

  • 113 Data- och informationsvetenskap

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