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Implementation of a bi-parallel Monte Carlo device simulation on two architectures

  • 2. Computational Science
  • Conference paper
  • First Online:
High-Performance Computing and Networking (HPCN-Europe 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1401))

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Abstract

This paper describes two implementations of a semiconductor device simulator on two different architectures. The simulation process is based on the Monte Carlo method, a particle-in-cell algorithm. It simulates the motion of particles under the influence of electric fields, that have to be periodically updated with the Poisson equation solution. We present a parallelization using a bi-parallelism scheme, to avoid load imbalance that can be encountered with the domain decomposition. The parallelization of the Monte Carlo part gives optimal speed-up. However the poor efficiency of the implemented Poisson solution damaged this result.

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References

  1. Digital Equipment Corporation: DECmpp Programming Language Reference Manual & User's Guide (1992)

    Google Scholar 

  2. Geist, A., Berguelin, A., Dongarra, J., Jiang, W., Manchek, R., Sunderam, V.: PVM: Parallel Virtual Machine — A Users' Guide and Tutorial for Networked Parallel Computing, MIT Press (1994)

    Google Scholar 

  3. Hockney, R. W., Eastwood, J. W.: Computer simulation using particles. McGraw-Hill (1982)

    Google Scholar 

  4. Jacoboni, C.,Lugli, P.: The Monte Carlo Method for Semiconductor Device Simulation. Springer-Verlag (1989)

    Google Scholar 

  5. Saraniti, M., Rein, A., Zandler, G., Vogl, P., Lugli, P.: An Efficient Multigrid Poisson Solver for Device Simulations. IEEE Transactions on Computer-Aided Design of Integrated Circuits and System 15 (1996) 141–150

    Google Scholar 

  6. Tremsina, L. Yu., Kelsall, R. W.: Parallel Processing for Monte Carlo Device Simulation. In Proceedings of Ninth III–V Semiconductor Device Simulation Workshop, Eindhoven (1996)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Laboratoire d'Informatique Fondamentale de Lille, U.R.A. CNRS 369, Bâtiment M3, Cité Scientifique, F-59655, Villeneuve d'Ascq Cedex, France

    Fabien Banse & Jean-Luc Dekeyser

  2. Institut d'Électronique et de Micro-électronique du Nord Département Hyperfréquences et Semi-conducteurs, U.M.R. CNRS 9929, Cité Scientifique, Avenue Poincaré, BP 69, F-59652, Villeneuve d'Ascq Cedex, France

    Fabien Banse, Renaud Fauquembergue & François Dessenne

Authors
  1. Fabien Banse
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  2. Jean-Luc Dekeyser
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  3. Renaud Fauquembergue
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  4. François Dessenne
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Editor information

Peter Sloot Marian Bubak Bob Hertzberger

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© 1998 Springer-Verlag Berlin Heidelberg

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Banse, F., Dekeyser, JL., Fauquembergue, R., Dessenne, F. (1998). Implementation of a bi-parallel Monte Carlo device simulation on two architectures. In: Sloot, P., Bubak, M., Hertzberger, B. (eds) High-Performance Computing and Networking. HPCN-Europe 1998. Lecture Notes in Computer Science, vol 1401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0037146

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  • DOI: https://doi.org/10.1007/BFb0037146

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64443-9

  • Online ISBN: 978-3-540-69783-1

  • eBook Packages: Springer Book Archive

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