
LogicNets: CoDesigned Neural Networks and Circuits for ExtremeThroughput Applications
Deployment of deep neural networks for applications that require very hi...
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Optimizing BitSerial Matrix Multiplication for Reconfigurable Computing
Matrixmatrix multiplication is a key computational kernel for numerous ...
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FINNR: An EndtoEnd DeepLearning Framework for Fast Exploration of Quantized Neural Networks
Convolutional Neural Networks have rapidly become the most successful ma...
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BISMO: A Scalable BitSerial Matrix Multiplication Overlay for Reconfigurable Computing
Matrixmatrix multiplication is a key computational kernel for numerous ...
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Streamlined Deployment for Quantized Neural Networks
Running Deep Neural Network (DNN) models on devices with limited computa...
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Scaling Binarized Neural Networks on Reconfigurable Logic
Binarized neural networks (BNNs) are gaining interest in the deep learni...
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FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
Research has shown that convolutional neural networks contain significan...
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Yaman Umuroglu
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