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Reconfigurable Hardware Acceleration of Canonical Graph Labelling

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Reconfigurable Computing: Architectures, Tools and Applications (ARC 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4419))

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Abstract

Many important algorithms in computational biology and related subjects rely on the ability to extract and to identify sub-graphs of larger graphs; an example is to find common functional structures within Protein Interaction Networks. However, the increasing size of both the graphs to be searched and the target sub-graphs requires the use of large numbers of parallel conventional CPUs. This paper proposes an architecture to allow acceleration of sub-graph identification through reconfigurable hardware, using a canonical graph labelling algorithm. A practical implementation of the canonical labelling algorithm in the Virtex-4 reconfigurable architecture is presented, examining the scaling of resource usage and speed with changing algorithm parameters and input data-sets. The hardware labelling unit is over 100 times faster than a quad Opteron 2.2GHz for graphs with few vertex invariants, and at least 10 times faster for graphs that are easier to label.

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References

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Pedro C. Diniz Eduardo Marques Koen Bertels Marcio Merino Fernandes João M. P. Cardoso

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© 2007 Springer Berlin Heidelberg

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Thomas, D.B., Luk, W., Stumpf, M. (2007). Reconfigurable Hardware Acceleration of Canonical Graph Labelling. In: Diniz, P.C., Marques, E., Bertels, K., Fernandes, M.M., Cardoso, J.M.P. (eds) Reconfigurable Computing: Architectures, Tools and Applications. ARC 2007. Lecture Notes in Computer Science, vol 4419. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71431-6_28

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  • DOI: https://doi.org/10.1007/978-3-540-71431-6_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71430-9

  • Online ISBN: 978-3-540-71431-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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