FPDeep: Scalable Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters
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DOI: 10.1109/tc.2020.3000118
Abstract: Deep convolutional Neural Networks (CNNs) have revolutionized numerous applications, but the demand for ever more performance remains unabated. Scaling CNN computations to larger clusters is generally done by distributing tasks in batch mode using methods… read more here.
Keywords: cnn training; acceleration cnn; scalable acceleration; fpdeep scalable ... See more keywords