Title :
Community Structure Discovery algorithm on GPU with CUDA
Author_Institution :
Dept. of Inf., Linyi Normal Univ., Linyi, China
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;
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
DOI :
10.1109/ICBNMT.2010.5705267