Global Benchmark Database

Markus Iser, Christoph Jabs

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

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.

Original languageEnglish
Title of host publication27th International Conference on Theory and Applications of Satisfiability Testing, SAT 2024
EditorsSupratik Chakraborty, Jie-Hong Roland Jiang
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
Publication dateAug 2024
Article number18
ISBN (Electronic)978-3-95977-334-8
DOIs
Publication statusPublished - Aug 2024
MoE publication typeA4 Article in conference proceedings
EventInternational Conference on Theory and Applications of Satisfiability Testing - Pune, India
Duration: 21 Aug 202424 Aug 2024
Conference number: 27

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume305
ISSN (Print)1868-8969

Fields of Science

  • Maintenance and Distribution of Benchmark Instances and their Features
  • 113 Computer and information sciences

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