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Xiu Ma

1 accepted papers

2020

Lance: efficient low-precision quantized winograd convolution for neural networks based on graphics processing units

ICASSP 2020accepted

Accelerating deep convolutional neural networks has become an active topic and sparked an interest in academia and industry. In this paper, we propose an efficient low-precision quan-tized Winograd convolution algorithm, called LANCE, which combines the advantages of fast convolution and quantizatio…

Cited by 0SourceScholar