Performance Optimization of Clustering On GPU
C.S.E. Dept., Parul Institute of Engineering & Technology
International Journal for Scientific Research & Development (IJSRD), Vol. 1, Issue 4, 2013
@article{menaria2013performance,
title={Performance Optimization of Clustering On GPU},
author={Menaria, Sumitra and Patel, Vijal D},
year={2013}
}
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.
March 4, 2014 by hgpu
