Applying active storage approach for seismic data processing tasks
Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika, Tome 2 (2013) no. 1, pp. 96-105

Voir la notice de l'article provenant de la source Math-Net.Ru

In this paper, we propose an approach to distributed seismic data processing using active storage system based on TSim C++ Library and Lustre file System and open-source package Seismic Un*x. Data processing using storage nodes demonstrates dramatic performance increase by avoiding redundant data transfers over networks, interconnects, or storage busses. Performance tests of developed programming prototype of seismic data processing in active storage system allows to evaluate integration prospects.
Keywords: active storages, seismic data processing, distributed storing and processing data.
E. О. Tyutlyaeva; A. A. Moskovsky; S. S. Konuhov; E. A. Kurin. Applying active storage approach for seismic data processing tasks. Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika, Tome 2 (2013) no. 1, pp. 96-105. http://geodesic.mathdoc.fr/item/VYURV_2013_2_1_a9/
@article{VYURV_2013_2_1_a9,
     author = {E. {\CYRO}. Tyutlyaeva and A. A. Moskovsky and S. S. Konuhov and E. A. Kurin},
     title = {Applying active storage approach for seismic data processing tasks},
     journal = {Vestnik \^U\v{z}no-Uralʹskogo gosudarstvennogo universiteta. Seri\^a Vy\v{c}islitelʹna\^a matematika i informatika},
     pages = {96--105},
     year = {2013},
     volume = {2},
     number = {1},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VYURV_2013_2_1_a9/}
}
TY  - JOUR
AU  - E. О. Tyutlyaeva
AU  - A. A. Moskovsky
AU  - S. S. Konuhov
AU  - E. A. Kurin
TI  - Applying active storage approach for seismic data processing tasks
JO  - Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika
PY  - 2013
SP  - 96
EP  - 105
VL  - 2
IS  - 1
UR  - http://geodesic.mathdoc.fr/item/VYURV_2013_2_1_a9/
LA  - ru
ID  - VYURV_2013_2_1_a9
ER  - 
%0 Journal Article
%A E. О. Tyutlyaeva
%A A. A. Moskovsky
%A S. S. Konuhov
%A E. A. Kurin
%T Applying active storage approach for seismic data processing tasks
%J Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika
%D 2013
%P 96-105
%V 2
%N 1
%U http://geodesic.mathdoc.fr/item/VYURV_2013_2_1_a9/
%G ru
%F VYURV_2013_2_1_a9

[1] E. A. Kurin, “Seismic Prospecting and Supercomputers”, Numerical methods and programming, 12:1 (2011), 38–43

[2] W. J. Camp, P. Thierry, “Trends for high-performance scientific computing”, The Leading Edge, 2010, 44–47

[3] J. Stockwell, Seismic Un*x Home Page } {\tt http://www.cwp.mines.edu/cwpcodes/

[4] E. O. Tyutlyaeva, A. A. Moskovsky, A. Y. Pervin, E. V. Schevchuk, “Distributed Remote Sensing Data Storage”, Software and Systems, 2:86 (2009), 40–42

[5] E. O. Tyutlyaeva, A. A. Moskovsky, A. U. Pervin, “Distributed Implementation of Map-Reduce Model Using C++ Template Classes”, Software and Systems, 2:86 (2009), 53–57

[6] E. O. Tyutlyaeva, A. A. Moskovsky, “An Initial Approximation to the Resource-Optimal Checkpoint Interval”, Parallel Computing Technologies, Lecture Notes in Computer Science, 6873 (2011), 384–389

[7] J. Wills, Seismic Data Science: Reflection Seismology and Hadoop } {\tt http://www.cloudera.com/blog/2012/01/seismic-data-science-hadoop-use-case/