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Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with Intel FPGA
<!--HTML-->AI and deep learning have been widely used and shown great promise in recent scientific research activities. Deep neural network (DNN) models are proven to be highly efficient in big data analytic application for scientific experiments. However, traditional CPU-based sequential comp...
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| Lenguaje: | eng |
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2019
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| Acceso en línea: | http://cds.cern.ch/record/2691452 |