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cs.AR2022
HiKonv: Maximizing the Throughput of Quantized Convolution With Novel Bit-wise Management and Computation
Yao Chen, Junhao Pan, Xinheng Liu +2
Quantization for CNN has shown significant progress with the intention of reducing the cost of computation and storage with low-bitwidth data representations. There are, however, n…
cs.AR2021★ 3 cited
WinoCNN: Kernel Sharing Winograd Systolic Array for Efficient Convolutional Neural Network Acceleration on FPGAs
Xinheng Liu, Yao Chen, Cong Hao +2
The combination of Winograd's algorithm and systolic array architecture has demonstrated the capability of improving DSP efficiency in accelerating convolutional neural networks (C…