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Performance Optimization of Clustering On GPU


Prof. Sumitra Menaria , Parul Institute of Engineering & Technology; Vijal D. Patel, Parul Institute of Engineering & Technology


Statistical analysis, Parallelization, optimized algorithm.


In today's digital world, Data sets are increasing exponentially. Statistical analysis using clustering in various scientific and engineering applications become very challenging issue for such large data set. Clustering on huge data set and its performance are two major factors demand for optimization. Parallelization is well-known approach to optimize performance. It has been observed from recent research work that GPU based parallelization help to achieve high degree of performance. Hence, this thesis focuses on optimizing hierarchical clustering algorithms using parallelization. It covers implementation of optimized algorithm on various parallel environments using Open MP on multi-core architecture and using CUDA on may-core architecture.

Other Details

Paper ID: IJSRDV1I4014
Published in: Volume : 1, Issue : 4
Publication Date: 01/07/2013
Page(s): 862-865

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