Communications in Computer and Information Science, volume 753, pages 201-214

The Hardware Configuration Analysis for HPC Processing and Interpretation of the Geological and Geophysical Data

Tyutlyaeva Ekaterina 1
Konyukhov Sergey 1
Odintsov Igor 1
1
 
ZAO RSC Technologies, Moscow, Russia
Publication typeBook Chapter
Publication date2017-09-26
Quartile SCImago
Q4
Quartile WOS
Impact factor
ISSN18650929
Abstract
The problems which arise during the gas-oil exploration process and require high-performance computing resources can be divided in two groups. The first group is seismic data processing, the second group is 3D reservoir simulating for the exploration process optimization. For the each group of problems typical applications used in real technological process were chosen, and their behavior was examined on different computational architectures. Performed analysis shows that the applications of the first group have good scalability potential on the studied computational platforms, meanwhile for the applications of the second group the limit of the performance increasing is reached relatively fast.
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Tyutlyaeva E. et al. The Hardware Configuration Analysis for HPC Processing and Interpretation of the Geological and Geophysical Data // Communications in Computer and Information Science. 2017. Vol. 753. pp. 201-214.
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Tyutlyaeva E., Konyukhov S., Odintsov I., Moskovsky A. The Hardware Configuration Analysis for HPC Processing and Interpretation of the Geological and Geophysical Data // Communications in Computer and Information Science. 2017. Vol. 753. pp. 201-214.
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TY - GENERIC
DO - 10.1007/978-3-319-67035-5_15
UR - https://doi.org/10.1007%2F978-3-319-67035-5_15
TI - The Hardware Configuration Analysis for HPC Processing and Interpretation of the Geological and Geophysical Data
T2 - Communications in Computer and Information Science
AU - Tyutlyaeva, Ekaterina
AU - Konyukhov, Sergey
AU - Odintsov, Igor
AU - Moskovsky, Alexander
PY - 2017
DA - 2017/09/26 00:00:00
PB - Springer Nature
SP - 201-214
VL - 753
SN - 1865-0929
ER -
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@incollection{2017_Tyutlyaeva,
author = {Ekaterina Tyutlyaeva and Sergey Konyukhov and Igor Odintsov and Alexander Moskovsky},
title = {The Hardware Configuration Analysis for HPC Processing and Interpretation of the Geological and Geophysical Data},
publisher = {Springer Nature},
year = {2017},
volume = {753},
pages = {201--214},
month = {sep}
}
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