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GPU Acceleration of Metaheuristics Solving Large Scale Parametric Interval Algebraic Systems

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Parallel Processing and Applied Mathematics (PPAM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8385))

Abstract

A study on efficient solving of parametric interval linear systems using GPU computing is presented. Several illustrative examples from structural mechanics are employed to show that the proposed approach can significantly reduce computation time for this kind of problems. The stress is put on large uncertainties which are usually hard to be dealt with other, less time-consuming methods.

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References

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Author information

Authors and Affiliations

  1. AGH University of Science and Technology, Krakow, Poland

    Jerzy Duda & Iwona Skalna

Authors
  1. Jerzy Duda
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  2. Iwona Skalna
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Corresponding author

Correspondence to Jerzy Duda .

Editor information

Editors and Affiliations

  1. Institute of Computer and Information Science, Czestochowa University of Technology, Czestochowa, Poland

    Roman Wyrzykowski

  2. University of Tennessee, Department of Computer Science, Knoxville, Tennessee, USA

    Jack Dongarra

  3. Institute of Computer and Information Science, Czestochowa University of Technology, Czestochowa, Poland

    Konrad Karczewski

  4. Technical University of Denmark Informatics and Mathematical Modelling, Kongens Lyngby, Denmark

    Jerzy Waśniewski

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Duda, J., Skalna, I. (2014). GPU Acceleration of Metaheuristics Solving Large Scale Parametric Interval Algebraic Systems. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2013. Lecture Notes in Computer Science(), vol 8385. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55195-6_56

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  • DOI: https://doi.org/10.1007/978-3-642-55195-6_56

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-55194-9

  • Online ISBN: 978-3-642-55195-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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