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Improving High-Performance GPU Graph Traversal with Compression

  • Conference paper
New Trends in Database and Information Systems II

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 312))

Abstract

Traversing huge graphs is a crucial part of many real-world problems, including graph databases. We show how to apply Fixed Length lightweight compression method for traversing graphs stored in the GPU global memory. This approach allows for a significant saving of memory space, improves data alignment, cache utilization and, in many cases, also processing speed. We tested our solution against the state-of-the-art implementation of BFS for GPU and obtained very promising results.

The project was funded by National Science Centre, decision DEC-2012/07/D/ST6/02483.

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Author information

Authors and Affiliations

  1. Warsaw University of Technology, Warszawa, Poland

    Krzysztof Kaczmarski & Paweł Rzążewski

  2. Nicolaus Copernicus University, Toruń, Poland

    Piotr Przymus

Authors
  1. Krzysztof Kaczmarski
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  2. Piotr Przymus
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  3. Paweł Rzążewski
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Corresponding author

Correspondence to Krzysztof Kaczmarski .

Editor information

Editors and Affiliations

  1. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Nick Bassiliades

  2. Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Novi Sad, Serbia

    Mirjana Ivanovic

  3. Faculty of Natural Science and Mathematics, Ss Cyril and Methodious University Institute for Informatics, Skopje, Macedonia

    Margita Kon-Popovska

  4. Department of Informatics, Aristotle University of Thessaloniki, University Campus, Thessaloniki, Greece

    Yannis Manolopoulos

  5. Paris Descartes University, Paris, France

    Themis Palpanas

  6. EECS Department, Northwestern University, Evanston, Illinois, USA

    Goce Trajcevski

  7. Department of Informatics, Aristotle University of Thessalonik, Thessaloniki, Greece

    Athena Vakali

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Kaczmarski, K., Przymus, P., Rzążewski, P. (2015). Improving High-Performance GPU Graph Traversal with Compression. In: Bassiliades, N., et al. New Trends in Database and Information Systems II. Advances in Intelligent Systems and Computing, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-10518-5_16

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  • DOI: https://doi.org/10.1007/978-3-319-10518-5_16

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10517-8

  • Online ISBN: 978-3-319-10518-5

  • eBook Packages: EngineeringEngineering (R0)

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