Projects per year
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 language | English |
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Title of host publication | 27th International Conference on Theory and Applications of Satisfiability Testing, SAT 2024 |
Editors | Supratik Chakraborty, Jie-Hong Roland Jiang |
Publisher | Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing |
Publication date | Aug 2024 |
Article number | 18 |
ISBN (Electronic) | 978-3-95977-334-8 |
DOIs | |
Publication status | Published - Aug 2024 |
MoE publication type | A4 Article in conference proceedings |
Event | International Conference on Theory and Applications of Satisfiability Testing - Pune, India Duration: 21 Aug 2024 → 24 Aug 2024 Conference number: 27 |
Publication series
Name | Leibniz International Proceedings in Informatics, LIPIcs |
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Volume | 305 |
ISSN (Print) | 1868-8969 |
Fields of Science
- Maintenance and Distribution of Benchmark Instances and their Features
- 113 Computer and information sciences
Projects
- 1 Active
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Next-generation Unsatisfiabillity-based Declarative Optimization
Järvisalo, M. (Project manager), Conati, A. F. (Participant), Eskelinen, V. (Participant), Feyzbakhsh Rankooh, M. (Participant), Jabs, C. J. (Participant) & Lehtonen, T. (Participant)
01/09/2023 → 31/08/2027
Project: Research Council of Finland: Academy Project