DocumentCode :
2399117
Title :
Community Structure Discovery algorithm on GPU with CUDA
Author :
Li, Peng
Author_Institution :
Dept. of Inf., Linyi Normal Univ., Linyi, China
fYear :
2010
fDate :
26-28 Oct. 2010
Firstpage :
1136
Lastpage :
1139
Abstract :
The automatic search and community discovery in large and complex network has important practical application. It is difficult to be tradeoff in computing speed and clustering exactness. To improve clustering exactness have to decrease the time complexity. In this paper a novel single instruction Multiple Data architecture processors based on Newman algorithm is proposed. The simulation results show that the method works well.
Keywords :
computational complexity; computer graphic equipment; coprocessors; CUDA; GPU; Newman algorithm; clustering exactness; community structure discovery algorithm; complex network; data architecture processors; time complexity; Algorithm design and analysis; Artificial neural networks; Communities; Graphics processing unit; Community discovery; Community structure; Complex Network; GPGPU;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Broadband Network and Multimedia Technology (IC-BNMT), 2010 3rd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6769-3
Type :
conf
DOI :
10.1109/ICBNMT.2010.5705267
Filename :
5705267
Link To Document :
بازگشت