Efficient Computations of Link-based Similarity Measures on the GPU
- Title
- Efficient Computations of Link-based Similarity Measures on the GPU
- Author
- 김상욱
- Keywords
- Graphics processing units; Instruction sets; Computer architecture; Sparse matrices; Data mining; Semiconductor device measurement; Classification algorithms; graphics processing units; GPU; link-based similarity measures; Link-based similarity
- Issue Date
- 2012-08
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Citation
- Network Infrastructure and Digital Content (IC-NIDC), 2012 3rd IEEE International Conference on, Issue Date: 21-23 Sept. 2012 p.261 - 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.
- URI
- http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6418756http://hdl.handle.net/20.500.11754/41188
- ISBN
- 978-1-4673-2201-0
- ISSN
- 1326-4217
- DOI
- 10.1109/ICNIDC.2012.6418756
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE AND ENGINEERING(컴퓨터공학부) > Articles
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