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12/04/2021
Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference
FPGA-specific DNN architectures using the native LUTs as independently t...
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06/26/2021
Accelerating Recurrent Neural Networks for Gravitational Wave Experiments
This paper presents novel reconfigurable architectures for reducing the ...
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02/08/2021
Enabling Binary Neural Network Training on the Edge
The ever-growing computational demands of increasingly complex machine l...
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10/24/2019
LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference
Research has shown that deep neural networks contain significant redunda...
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10/21/2019
Automatic Generation of Multi-precision Multi-arithmetic CNN Accelerators for FPGAs
Modern deep Convolutional Neural Networks (CNNs) are computationally dem...
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04/01/2019
LUTNet: Rethinking Inference in FPGA Soft Logic
Research has shown that deep neural networks contain significant redunda...
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01/21/2019