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Simulating light scattering from micron-sized particles

A parallel fast Discrete Dipole approximation

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High-Performance Computing and Networking (HPCN-Europe 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1067))

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Abstract

Employing the combination of a kernel with low computational complexity, implemented on powerful HPC systems, we are now able to push the limits of simulation of light scattering from arbitrary particles towards particles with dimensions up to 10 micrometer. This allows for the first time the simulation of realistic and highly relevant light scattering experiments, such as scattering from human white blood cells, or scattering from large soot — or dust particles. We use the Discrete Dipole Approximation to simulate the light scattering process. In this paper we report on a parallel Fast Discrete Dipole Approximation, and we will show the performance of the resulting code, running under PVM on a 32-node Parsytec PowerXplorer. Furthermore, we present results of a simulation of scattering from a model of a small Human White Blood Cell. This model is the largest possible particle fitting in memory of our parallel computer, and contains 1.1 million dipoles.

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Authors and Affiliations

  1. The Parallel Scientific Computing & Simulation Group, Faculty of Mathematics, Computer Science, Physics, and Astronomy, University of Amsterdam, Kruislaan 403, 1098, SJ Amsterdam, the Netherlands

    A. G. Hoekstra, M. D. Grimminck & P. M. A. Sloot

Authors
  1. A. G. Hoekstra
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  2. M. D. Grimminck
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  3. P. M. A. Sloot
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Editor information

Heather Liddell Adrian Colbrook Bob Hertzberger Peter Sloot

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© 1996 Springer-Verlag Berlin Heidelberg

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Hoekstra, A.G., Grimminck, M.D., Sloot, P.M.A. (1996). Simulating light scattering from micron-sized particles. In: Liddell, H., Colbrook, A., Hertzberger, B., Sloot, P. (eds) High-Performance Computing and Networking. HPCN-Europe 1996. Lecture Notes in Computer Science, vol 1067. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61142-8_558

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  • DOI: https://doi.org/10.1007/3-540-61142-8_558

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61142-4

  • Online ISBN: 978-3-540-49955-8

  • eBook Packages: Springer Book Archive

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