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07/22/2022
HiKonv: Maximizing the Throughput of Quantized Convolution With Novel Bit-wise Management and Computation
Quantization for CNN has shown significant progress with the intention o...
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12/28/2021
HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and Computation
Quantization for Convolutional Neural Network (CNN) has shown significan...
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07/09/2021
WinoCNN: Kernel Sharing Winograd Systolic Array for Efficient Convolutional Neural Network Acceleration on FPGAs
The combination of Winograd's algorithm and systolic array architecture ...
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12/22/2020
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
Binary neural networks (BNNs) have 1-bit weights and activations. Such n...
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05/06/2020
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions
High quality AI solutions require joint optimization of AI algorithms an...
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11/18/2019
NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving
The rapidly growing demands for powerful AI algorithms in many applicati...
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03/23/2018