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The PACE 2019 Parameterized Algorithms and Computational Experiments Challenge: The Fourth Iteration (Invited Paper)

Authors M. Ayaz Dzulfikar, Johannes K. Fichte , Markus Hecher

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Author Details

M. Ayaz Dzulfikar
  • University of Indonesia, Kota Depok, Jawa Barat 16424, Indonesia
Johannes K. Fichte
  • Faculty of Computer Science, TU Dresden, 01062 Dresden, Germany
Markus Hecher
  • Institute of Logic and Computation, TU Wien, Favoritenstraße 9-11, 1040 Wien, Austria
  • University of Potsdam, Germany

Funding

The work has been supported by the Austrian Science Fund (FWF), Grants Y698 and P26696, and the German Science Fund (DFG), Grant HO 1294/11-1 and Erasmus+ KA107. Hecher is also affiliated with the University of Potsdam, Germany.

Acknowledgements

The PACE challenge was supported by Networks [Networks project. https://www.thenetworkcenter.nl, 2019.], an NWO Gravitation project of the University of Amsterdam, Eindhoven University of Technology, Leiden University and the Center for Mathematics and Computer Science (CWI), by the Centre for Information and High Performance Computing (ZIH) of TU Dresden [Centre for Information Services and High Performance Computing. https://tu-dresden.de/zih/hochleistungsrechnen/, 2019. Project: pacechallage2019.], and by data-experts [data experts gmbh. https://www.data-experts.de/]. The prize money (4,000 EUR) was given through the generosity of Networks and data experts. We are grateful to Szymon Wasik and Jan Badura for the fruitful collaboration and for hosting the challenge at optil.io [Wasik et al., 2016]. We like to acknowledge the generous support by the High Performance Computing Center at TU Dresden, who gave us access to the HRSK-II and 80.000 CPU hours from February on to select instances and validate the results [Centre for Information Services and High Performance Computing. https://tu-dresden.de/zih/hochleistungsrechnen/, 2019. Project: pacechallage2019.].

Cite As Get BibTex

M. Ayaz Dzulfikar, Johannes K. Fichte, and Markus Hecher. The PACE 2019 Parameterized Algorithms and Computational Experiments Challenge: The Fourth Iteration (Invited Paper). In 14th International Symposium on Parameterized and Exact Computation (IPEC 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 148, pp. 25:1-25:23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/LIPIcs.IPEC.2019.25

Abstract

The organizers of the 4th Parameterized Algorithms and Computational Experiments challenge (PACE 2019) report on the 4th iteration of the PACE challenge. This year, the first track featured the MinVertexCover problem, which asks given an undirected graph G=(V,E) to output a set S subseteq V of vertices such that for every edge vw in E at least one endpoint belongs to S. The exact decision version of this problem is one of the most discussed problem if not even the prototypical problem in parameterized complexity theory. Another two tracks were dedicated to computing the hypertree width of a given hypergraph, which is a certain generalization of tree decompositions to hypergraphs that has widely been applied to problems in databases, constraint programming, and artificial intelligence. On one track we asked for submissions that compute hypertree decompositions of minimum width (MinHypertreeWidth) and on the other track we asked to heuristically compute hypertree decompositions of small width quickly (HeurHypertreeWidth). We received 28 implementations from 26 teams. This year we asked participants to submit solver descriptions in order to count as a submission for the challenge. We received those from 16 teams with overall 33 participants from 10 countries. One team submitted successful solutions to all three tracks.

Subject Classification

ACM Subject Classification
  • Theory of computation → Parameterized complexity and exact algorithms
  • Theory of computation → Complexity theory and logic
  • Mathematics of computing → Solvers
  • Mathematics of computing → Graph algorithms
  • Mathematics of computing → Hypergraphs
Keywords
  • Parameterized Algorithms
  • Vertex Cover Problem
  • Hypertree Decompositions
  • Implementation Challenge
  • FPT

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