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Lance: Efficient Low-Precision Quantized Winograd Convolution For Neural Networks Based On Graphics Processing Units
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Lance: Efficient Low-Precision Quantized Winograd Convolution For Neural Networks Based On Graphics Processing Units
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 quantized Winograd convolution algorithm, called LANCE, which combines the ad
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 quantized Winograd convolution algorithm, called LANCE, which combines the ad