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Exploiting massively parallel architectures for the solution of diffusion and propagation problems

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High-Performance Computing and Networking (HPCN-Europe 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 919))

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Abstract

Many problems in several fields like physics, chemistry, biology and engineering lack an analytical solution able to provide a satisfactory phenomena description. Then a numerical solution becomes the only viable alternative. The use of massively parallel architectures often allows one to obtain in an easy way a comprehensive picture of the behaviour of the solution. We present here a computational model applied to two different physical problems; our work demonstrates the effectiveness of the approach and its extensibility to many classes of problems in different fields.

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Author information

Author notes

  1. M. Sonza Reorda

    Present address: Dip. di Automatica e Informatica, Politecnico di Torino, Corso Duca degli Abruzzi 24, I-10129, Torino, Italy

Authors and Affiliations

  1. Dipartimento di Fisica, Politecnico di Torino, Italy

    P. P. Delsanto, S. Biancotto & M. Scalerandi

  2. Dip. di Automatica e Informatica, Politecnico di Torino, Corso Duca degli Abruzzi 24, I-10129, Torino, Italy

    M. Rebaudengo

Authors
  1. P. P. Delsanto
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  2. S. Biancotto
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  3. M. Scalerandi
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  4. M. Rebaudengo
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  5. M. Sonza Reorda
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Corresponding author

Correspondence to M. Sonza Reorda .

Editor information

Bob Hertzberger Giuseppe Serazzi

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© 1995 Springer-Verlag Berlin Heidelberg

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Delsanto, P.P., Biancotto, S., Scalerandi, M., Rebaudengo, M., Reorda, M.S. (1995). Exploiting massively parallel architectures for the solution of diffusion and propagation problems. In: Hertzberger, B., Serazzi, G. (eds) High-Performance Computing and Networking. HPCN-Europe 1995. Lecture Notes in Computer Science, vol 919. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0046601

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  • DOI: https://doi.org/10.1007/BFb0046601

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-59393-5

  • Online ISBN: 978-3-540-49242-9

  • eBook Packages: Springer Book Archive

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