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02/04/2022
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators
Dilated and transposed convolutions are widely used in modern convolutio...
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04/06/2020
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications
Deployment of deep neural networks for applications that require very hi...
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01/02/2019
Optimizing Bit-Serial Matrix Multiplication for Reconfigurable Computing
Matrix-matrix multiplication is a key computational kernel for numerous ...
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09/12/2018
FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks
Convolutional Neural Networks have rapidly become the most successful ma...
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06/22/2018
BISMO: A Scalable Bit-Serial Matrix Multiplication Overlay for Reconfigurable Computing
Matrix-matrix multiplication is a key computational kernel for numerous ...
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09/12/2017
Streamlined Deployment for Quantized Neural Networks
Running Deep Neural Network (DNN) models on devices with limited computa...
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01/12/2017
Scaling Binarized Neural Networks on Reconfigurable Logic
Binarized neural networks (BNNs) are gaining interest in the deep learni...
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12/01/2016
