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Matrix Transformations For Effective Implementation Of Radiosity Algorithm Using Graphic Processors. L&E 27 (2) 2019

Light & Engineering 27 (2)

Volume 27
Date of publication 04/22/2019

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Matrix Transformations For Effective Implementation Of Radiosity Algorithm Using Graphic Processors. L&E 27 (2) 2019
Articles authors:
Alexander S. Scherbakov, Vladimir V. Frolov

Alexander S. Scherbakov, master student of the Faculty of Computational Mathematics and Cybernetics of the Lomonosov Moscow State University

Vladimir V. Frolov, Ph.D. Graduated from the Faculty of Computational Mathematics and Cybernetics of the Lomonosov Moscow State University. Research associate of the Lomonosov Moscow State University and of the Keldysch Institute of applied mathematics of the RAS

Abstract:
A method of form factors matrix transforming, which allows accelerating calculation of secondary illumination by the radiosity method is proposed. An adaptation of this method for graphic processors (graphics processing unit, GPU) is considered. In particular, it is proposed to use DXT textures to store form factors matrix and to reorder columns and lines of the matrix to reduce compression losses. The proposed optimisations increase the speed of radiosity algorithm work to ten times and reduce the GPU occupied memory volume to three times.
References:
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Keywords
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