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Load Balancing and Partitioning for Parallel Signal Processing and Control Algorithms

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Advanced Computing Concepts and Techniques in Control Engineering

Part of the book series: NATO ASI Series ((NATO ASI F,volume 47))

Abstract

Large scale signal processing and control applications are now being implemented using parallel computers. Some applications such as tracking and data fusion require novel partitioning and load balancing schemes in order to make parallel processing most effective. In this paper, we survey recent work on these topics. We present diffusion schemes for load balancing and Multidimensional Binary Partitions for spatial partitioning appropriate for hypercube computations.

This research was partially supported by National Science Foundation under grant DCR-8619103, the Office or Naval Research under contracts NOOO-86-G-0202 and NOO014-87-K-OI821 and the Rome Air Development Center under contract F30602-85-C-0303 at ALPHATECH, Inc. while the author was on sabbatical leave during 1986-1987.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, Tufts University, 02155, Medford, MA, USA

    George Cybenko

  2. ALPHATECH, Inc., 111 Middlesex Turnpike, 01803, Burlington, MA, USA

    George Cybenko

Authors
  1. George Cybenko
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Editor information

Editors and Affiliations

  1. Department of Computing, Plymouth Polytechnic, Drake Circus, Plymouth, Devon, PL4 8AA, UK

    Michael J. Denham

  2. Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA, 93106, USA

    Alan J. Laub

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© 1988 Springer-Verlag Berlin Heidelberg

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Cybenko, G. (1988). Load Balancing and Partitioning for Parallel Signal Processing and Control Algorithms. In: Denham, M.J., Laub, A.J. (eds) Advanced Computing Concepts and Techniques in Control Engineering. NATO ASI Series, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83548-3_13

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  • DOI: https://doi.org/10.1007/978-3-642-83548-3_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-83550-6

  • Online ISBN: 978-3-642-83548-3

  • eBook Packages: Springer Book Archive

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