Deep learning at 15PF: supervised and semi-supervised classification for scientific data

    SC '17: The International Conference for High Performance Computing, Networking, Storage and Analysis Denver Colorado November, 2017, pp. 1-11, 2017.

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    Abstract:

    This paper presents the first, 15-PetaFLOP Deep Learning system for solving scientific pattern classification problems on contemporary HPC architectures. We develop supervised convolutional architectures for discriminating signals in high-energy physics data as well as semi-supervised architectures for localizing and classifying extreme w...More

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