SiftD: A CPU & GPU distributed hybrid system for SIFT

Using distributed and parallel computing systems have become a de facto for implementing scientific and industrial applications, which require tremendous amount of computing resources. As a widely used approach, general purpose distributed frameworks, like Hadoop, have provided us with many faciliti...

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Veröffentlicht in:	2014 7th International Symposium on Telecommunications (IST) S. 613 - 618
Hauptverfasser:	Mohammadi, Mahdi Soltan, Rezaeian, Mehdi
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.09.2014
Schlagworte:	Algorithm design and analysis Computer architecture Computers distributed computing Distributed databases distributed implementation distributed systems feature extraction GPU programming Graphics processing units Hardware parallel processing Programming SIFT
Online-Zugang:	Volltext
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