Parallel processing of a random-walk model of atmospheric dispersion |
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Institution: | 1. Goethe University Frankfurt, Grueneburgplatz 1, 60323 Frankfurt, Germany;2. Viadrina European University, Frankfurt (Oder), Germany;3. University Bologna, Bologna, Italy;5. Present address: Google User Experience Research, Brandschenkestrasse 110, 8002 Zurich, Switzerland;1. Nanomaterials Laboratory, Center for Materials Science, Zewail City of Science and Technology, 6th October City, 12588 Giza, Egypt;2. Applied Organic Chemistry Department, National Research Centre (NRC), Dokki, 12622 Giza, Egypt;3. Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA |
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Abstract: | Algorithms for random-walk models of atmospheric dispersion take considerable processing time on sequential computers. Such algorithms are, however, more suited to parallel computers as they contain a high degree of parallelism. In this paper, to show this suitability and to investigate the improvement in the processing time with the use of a parallel computer, the model algorithm developed and applied in Luhar and Britter (1989, Atmospheric Environment23, 1911–1924) has been implemented on a Distributed Array of Processors (DAP). The results show a 14-fold improvement in the processing time over a sequential machine. |
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