Abstract
The similarity join is an important building block for similarity search and data mining algorithms. In this paper, we propose an algorithm for similarity join on Graphics Processing Units (GPUs). As major advantages GPUs provide extremely high parallelis
Böhm, C., Noll, R., Plant, C. & Zherdin, A.,
(2009).
Index- supported similarity join on graphics processors.
In:
Freytag, J.-C., Ruf, T., Lehner, W. & Vossen, G.
(Hrsg.),
Datenbanksysteme in Business, Technologie und Web (BTW) – 13. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS).
Bonn:
Gesellschaft für Informatik e.V..
(S. 57-66).
@inproceedings{mci/Böhm2009,
author = {Böhm, Christian AND Noll, Robert AND Plant, Claudia AND Zherdin, Andrew},
title = {Index- supported similarity join on graphics processors},
booktitle = {Datenbanksysteme in Business, Technologie und Web (BTW) – 13. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS)},
year = {2009},
editor = {Freytag, Johann-Christoph AND Ruf, Thomas AND Lehner, Wolfgang AND Vossen, Gottfried}
,
pages = {
57-66
},
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
(en)