kNN-Borůvka-GPU: A Fast and Scalable MST Construction from kNN Graphs on GPU-Reference-Cited by-同舟云学术

kNN-Borůvka-GPU: A Fast and Scalable MST Construction from kNN Graphs on GPU

Published:2012 Issue: Volume: Page:71-86
ISSN:0302-9743
Container-title:Computational Science and Its Applications – ICCSA 2012
language:
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Author:

Arefin Ahmed Shamsul,Riveros Carlos,Berretta Regina,Moscato Pablo

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-31125-3_6.pdf

Reference30 articles.

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3. Lecture Notes in Computer Science;A.S. Arefin,2011

4. Arefin, A.S., Riveros, C., Berretta, R., Moscato, P.: Gpu-fs-knn: A fast and scalable knn computation technique using gpu. Faculty Postgrad Research Poster, The University of Newcastle, Australia (September 2011), http://www.newcastle.edu.au/Resources/Faculties/Faculty%20of%20Engineering%20and%20Built%20Environment/Research/Arefin.pdf

5. Bader, D.A., Cong, G.: Fast shared-memory algorithms for computing the minimum spanning forest of sparse graphs. J. P. Dist. Comp. 66, 1366–1378 (2006)

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