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09/17/2019
Heterogeneity-Aware Asynchronous Decentralized Training
Distributed deep learning training usually adopts All-Reduce as the sync...
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02/04/2019
Hop: Heterogeneity-Aware Decentralized Training
Recent work has shown that decentralized algorithms can deliver superior...
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01/07/2019
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array
With the rise of artificial intelligence in recent years, Deep Neural Ne...
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12/12/2018
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs
Recurrent Neural Networks (RNNs) are becoming increasingly important for...
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08/29/2017
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices
Large-scale deep neural networks (DNNs) are both compute and memory inte...
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08/21/2017