Clustering billions of data points using GPUs
HP Labs, 1501 Page Mill Road, Palo Alto, CA 94304
In UCHPC-MAW ’09: Proceedings of the combined workshops on UnConventional high performance computing workshop plus memory access workshop (2009), pp. 1-6.
@conference{wu2009clustering,
title={Clustering billions of data points using GPUs},
author={Wu, R. and Zhang, B. and Hsu, M.},
booktitle={Proceedings of the combined workshops on UnConventional high performance computing workshop plus memory access workshop},
pages={1–6},
year={2009},
organization={ACM}
}
In this paper, we report our research on using GPUs to accelerate clustering of very large data sets, which are common in today’s real world applications. While many published works have shown that GPUs can be used to accelerate various general purpose applications with respectable performance gains, few attempts have been made to tackle very large problems. Our goal here is to investigate if GPUs can be useful accelerators even with very large data sets that cannot fit into GPU’s onboard memory.
November 5, 2010 by hgpu
