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Fast Machine Learning for Science Workshop

November 30, 2020 to December 3, 2020
Southern Methodist University
America/Chicago timezone

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    • Satellite Mini-Workshop on Portable Inference

    Details for Philip Coleman Harris

    Massachusetts Inst. of Technology (US)

    Author in the following contributions

    • Building the tools to run large scale machine learning with FPGAs with two new approaches: AIGEAN and FAAST
    • Deep Learning based acceleration of Gravitational Waves
    • GPU-accelerated machine learning inference as a service for computing in neutrino experiments
    • SONIC: Coprocessors as a service for deep learning inference in high energy physics
    CERN
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