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Performance analysis of a parallel Monte Carlo code for simulating solar radiative transfer in cloudy atmospheres using CUDA-enabled NVIDIA GPU
Author(s): Tatiana Russkova
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Paper Abstract

One tool to improve the performance of Monte Carlo methods for numerical simulation of light transport in the Earth’s atmosphere is the parallel technology. A new algorithm oriented to parallel execution on the CUDA-enabled NVIDIA graphics processor is discussed. The efficiency of parallelization is analyzed on the basis of calculating the upward and downward fluxes of solar radiation in both a vertically homogeneous and inhomogeneous models of the atmosphere. The results of testing the new code under various atmospheric conditions including continuous singlelayered and multilayered clouds, and selective molecular absorption are presented. The results of testing the code using video cards with different compute capability are analyzed. It is shown that the changeover of computing from conventional PCs to the architecture of graphics processors gives more than a hundredfold increase in performance and fully reveals the capabilities of the technology used.

Paper Details

Date Published: 30 November 2017
PDF: 11 pages
Proc. SPIE 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 104661H (30 November 2017); doi: 10.1117/12.2286861
Show Author Affiliations
Tatiana Russkova, V.E. Zuev Institute of Atmospheric Optics (Russian Federation)


Published in SPIE Proceedings Vol. 10466:
23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Gennadii G. Matvienko; Oleg A. Romanovskii, Editor(s)

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