Optimization of Selected Remote Sensing Algorithms for Many-Core Architectures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F16%3A86099011" target="_blank" >RIV/61989100:27740/16:86099011 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7471409" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7471409</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/JSTARS.2016.2558492" target="_blank" >10.1109/JSTARS.2016.2558492</a>
Alternative languages
Result language
angličtina
Original language name
Optimization of Selected Remote Sensing Algorithms for Many-Core Architectures
Original language description
This paper evaluates the potential of embedded graphic processing units (GPU) in the Nvidia's Tegra K1 for onboard processing. The performance is compared to a general purpose multicore central processing unit (CPU), a full-fledge GPU accelerator, and an Intel Xeon Phi coprocessor, for two representative potential applications, wavelet spectral dimension reduction of hyperspectral imagery and automated cloud-cover assessment (ACCA). For these applications, Tegra K1 achieved 51% performance for the ACCA algorithm and 20% performance for the dimension reduction algorithm, as compared to the performance of the high-end eight-core server Intel Xeon CPU which has a 13.5 times higher power consumption. This paper also shows the potential of modern high-performance computing accelerators for algorithms such as the ones for which the paper presents an optimized parallel implementation. The two algorithms that were tested mostly contain spatially localized computations, and one can assume that all image processing algorithms containing localized computations would exhibit similar speed-ups when implemented on these parallel architectures.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Journal of selected topics in applied earth observations and remote sensing
ISSN
1939-1404
e-ISSN
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Volume of the periodical
9
Issue of the periodical within the volume
12
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
5576-5587
UT code for WoS article
000391468900003
EID of the result in the Scopus database
2-s2.0-84969555915