Principles of Organizing a Software-analytical System for Parallel Processing of Seismic Data
https://doi.org/10.55648/1998-6920-2024-18-2-57-68
Abstract
Progress in the development of modern information technologies is directly related to the use of resource-intensive applications in science-intensive research, as well as in industrial applications. Currently, there is an acute problem of analyzing large volumes of geophysical data and increasing the productivity of systems for their study. One of the ways to solve this problem is to use multiprocessor computers and multi-machine computing systems capable of performing parallel, including distributed data processing. The paper presents a description and implementation of a computational model for parallel processing of seismic data based on the LuNA system for the automatic construction of parallel programs.
About the Authors
A. Yu. Vyrodov
Institute of Computational Mathematics and Mathematical Geophysics SB RAS
Russian Federation
Russian Federation
Alexey Yu. Vyrodov
Postgraduate student
V. А. Perepelkin
Institute of Computational Mathematics and Mathematical Geophysics SB RAS
Russian Federation
Russian Federation
Vladislav A. Perepelkin
Ph.D.
М. S. Khayretdinov
Institute of Computational Mathematics and Mathematical Geophysics SB RAS
Russian Federation
Russian Federation
Marat S. Khairetdinov
Doctor of Technical Sciences, Chief Researcher, Professor
630090, Novosibirsk, Academician Lavrentiev Avenue, 6
tel. +7 383 330 87 43
А. V. Khrypchenko
Institute of Computational Mathematics and Mathematical Geophysics SB RAS
Russian Federation
Russian Federation
Alena V. Khrypchenko
Postgraduate student
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Review
For citations:
Vyrodov A.Yu., Perepelkin V.А., Khayretdinov М.S., Khrypchenko А.V. Principles of Organizing a Software-analytical System for Parallel Processing of Seismic Data. The Herald of the Siberian State University of Telecommunications and Information Science. 2024;18(2):57-68. (In Russ.) https://doi.org/10.55648/1998-6920-2024-18-2-57-68
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