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Data Visualization and Mining using the GPU

Sudipto Guha
University of Pennsylvania
Hand The (2005) Issue: January, Publisher: cse.scitech.ac.uk, Pages: 1-7

@conference{guha2005data,

   title={Data visualization and mining using the gpu},

   author={Guha, S. and Krisnan, S. and Venkatasubramanian, S.},

   booktitle={Data Visualization and Mining Using the GPU, Tutorial at 11th ACM International Conference on Knowledge Discovery and Data Mining (KDD 2005)},

   year={2005},

   organization={Citeseer}

}

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An exciting development in the computing industry has been the emergence of graphics processing units (the GPU) as a fast general purpose co-processor. Initially designed for gaming applications, todays GPUs demonstrate impressive computing power and high levels of parallelism and are now being used for a variety of applications far removed from traditional graphics rendering settings. Perhaps the most powerful use of the GPU has been in visualization, which couples the raw computing power of the GPU with its extensive capabilities for rendering scenes. The GPU provides the required computing power and real-time interactive rendering capabilities and there are now GPU-assisted algorithms for many fundamental problems in data visualization and analysis, including such basic primitives as matrix operations, FFTs, wavelet transforms, clustering and mining data streams. This is an exciting and fast developing area, and the tools and technique are now mature enough that researchers with no experience in using the GPU can use it to develop new data mining tools. The purpose of this tutorial is to introduce the KDD audience to the GPU and the programming model it represents, describe the ways in which one can program the GPU, and demonstrate a set of data mining primitives that have been implemented effectively on the GPU.
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