Novosibirsk State University Journal of Information Technologies
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All Issues >> Contents: Volume 14, Issue No 2 (2016)

Highly-optimized realization of shadow matrix computation for cascade diffraction modeling in geological layers
Nikolay Yurevich Zyatkov, Alena Arkad'evna Ayzenberg

Novosibirsk State University
University of Bergen

UDC code: 004.021, 004.04

Abstract
We provide algorithms for the virtual shadow matrix highly-optimized computation and its storing. Procedure numerically implement these algorithms are part of TWSM software package (tipwave superposition method) for diffraction modeling of wavefields in layered and block media with complex-shaped boundaries. The shadow matrix is an important procedure of TWSM and allows calculating the feasible fundamental solution for the area (block or layer) of homogeneous medium considering cascade diffraction at the boundary of the complex convex-concave form. We describe algorithms for the family of virtual shadow zones construction, their optimization and adaptation for GPU and GPU-cluster. We also provide an algorithm of the shadow matrix storage in the compressed state. Finally, we give the test results of the developed approaches.

Key Words
software optimization, high performance computing, GPU, diffraction modeling

How to cite:
Zyatkov N. Y., Ayzenberg A. A. Highly-optimized realization of shadow matrix computation for cascade diffraction modeling in geological layers // Vestnik NSU Series: Information Technologies. - 2016. - Volume 14, Issue No 2. - P. 17-37. - ISSN 1818-7900. (in Russian).

Full Text in Russian

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Publication information
Main title Vestnik NSU Series: Information Technologies, Volume 14, Issue No 2 (2016).
Parallel title: Novosibirsk State University Journal of Information Technologies Volume 14, Issue No 2 (2016).

Key title: Vestnik Novosibirskogo gosudarstvennogo universiteta. Seriâ: Informacionnye tehnologii
Abbreviated key title: Vestn. Novosib. Gos. Univ., Ser.: Inf. Tehnol.
Variant title: Vestnik NGU. Seriâ: Informacionnye tehnologii

Year of Publication: 2016
ISSN: 1818-7900 (Print), ISSN 2410-0420 (Online)
Publisher: Novosibirsk State University Press
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