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ACCELERATING THE CALCULATION OF ABSORPTION COEFFICIENT OF WATER VAPOUR BY GPU USING THE HITRAN DATABASE

Artem Lobach

First published: 2020-12-20https://doi.org/10.5593/sgem2020v/4.2/s06.13View metrics

Abstract

The emergence of an increasing number of tools for processing data on the GPU makes us think about optimizing the processing of a large array of coefficients. This article examines the performance of the implementation of the calculation of the absorption coefficient according to the data of the Hitran base on the GPU. An algorithm for calculating the absorption coefficient for water vapor is presented. The results show a significant increase in productivity due to parallelization of sequential calculation steps, which makes it possible to use this approach to speed up the calculation of the global atmospheric model.

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Publication details

Title
ACCELERATING THE CALCULATION OF ABSORPTION COEFFICIENT OF WATER VAPOUR BY GPU USING THE HITRAN DATABASE
Authors
Artem Lobach
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 20th SGEM International Multidisciplinary Scientific GeoConference Proceedings 2020,
Publisher
STEF92 Technology
Year
2020
Pages
107-114
SWS Citekey
Lobach20206107114
ISSN
1314-2704
ISBN
978-619-7603-18-7
Language
en
Publication type
Conference Paper
Keywords
References4
  1. J.J. Harrison, P.F. Bernath, G. Kirchengast, Spectroscopic requirements for ACCURATE, a microwave and infrared-laser occultation satellite mission, Journal of Quantitative Spectroscopy & Radiative, Transfer 112, 2011, pp 2374-2354;

  2. L. S. Rothman, et al., "The HITRAN 2012 Molecular Spectroscopic Database", J. Quant. Spectrosc. Radiat. Transfer 130, 2013, pp 4-50;

  3. Nigmatulin, R.I. Equations of Hydro-and Thermodynamics of the Atmosphere when Inertial Forces Are Small in Comparison with Gravity. Fluid Dyn 53, 2018, S121–S130;

  4. V. Boyer and D. El Baz, "Recent Advances on GPU Computing in Operations Research," 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, Cambridge, MA, 2013, pp. 1778-1787.

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