DocumentCode
3051269
Title
Efficient computations of link-based similarity measures on the GPU
Author
Yong-Yeon Jo ; Duck-Ho Bae ; Sang-Wook Kim
Author_Institution
Data & Knowledge Eng. Lab., Hanyang Univ., Seoul, South Korea
fYear
2012
fDate
21-23 Sept. 2012
Firstpage
261
Lastpage
265
Abstract
In this paper, we first analyze how the characteristics of the GPU affect the performance of link-based similarity measures. Based on the analysis, we describe our strategies to improve the performance of link-based similarity measures on the GPU in detail. Finally, through extensive experiments, we evaluate the effectiveness of our strategies.
Keywords
graphics processing units; GPU; link-based similarity measures; Classification algorithms; Computer architecture; Data mining; Graphics processing units; Instruction sets; Semiconductor device measurement; Sparse matrices; GPU; Link-based similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Infrastructure and Digital Content (IC-NIDC), 2012 3rd IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-2201-0
Type
conf
DOI
10.1109/ICNIDC.2012.6418756
Filename
6418756
Link To Document