Communications in Computer and Information Science, volume 793, pages 376-387
The energy consumption analysis for the multispectral infrared satellite images processing algorithm
Publication type: Book Chapter
Publication date: 2017-11-14
Quartile SCImago
Q4
Quartile WOS
—
Impact factor: —
ISSN: 18650929
Abstract
This paper includes the energy consumption analysis of the testing mini-application that implements night time infrared remote sensing algorithm Nightfire. On this stage of our project computational nodes with Intel Xeon E5 and Intel Xeon Phi processors were tested. The correlation analysis between the number of used MPI ranks - OMP threads and total energy consumptions was performed for each of tested computational nodes. The optimized benchmarking parameters were used to compare energy efficiency of tested nodes. Moreover, the analysis of mini-application statements blocks was carried out for the following computation phases: I/O with HDF5 and ENVI data; the data processing using Nelder-Mead method. The impact of each computation phase to the total energy consumptions was determined so it gives new insights to possible ways of further optimization. Based on obtained results, the effectiveness of tested computational architectures for multispectral satellite images processing was evaluated.
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Communications in Computer and Information Science
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Communications in Computer and Information Science
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Springer Nature
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Tyutlyaeva E. et al. The energy consumption analysis for the multispectral infrared satellite images processing algorithm // Communications in Computer and Information Science. 2017. Vol. 793. pp. 376-387.
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Tyutlyaeva E., Konyukhov S., Odintsov I., Moskovsky A. The energy consumption analysis for the multispectral infrared satellite images processing algorithm // Communications in Computer and Information Science. 2017. Vol. 793. pp. 376-387.
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TY - GENERIC
DO - 10.1007/978-3-319-71255-0_30
UR - https://doi.org/10.1007%2F978-3-319-71255-0_30
TI - The energy consumption analysis for the multispectral infrared satellite images processing algorithm
T2 - Communications in Computer and Information Science
AU - Tyutlyaeva, Ekaterina
AU - Konyukhov, Sergey
AU - Odintsov, Igor
AU - Moskovsky, Alexander
PY - 2017
DA - 2017/11/14 00:00:00
PB - Springer Nature
SP - 376-387
VL - 793
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 energy consumption analysis for the multispectral infrared satellite images processing algorithm},
publisher = {Springer Nature},
year = {2017},
volume = {793},
pages = {376--387},
month = {nov}
}
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