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Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information


May 04, 2022
Kaveena Persand, Andrew Anderson, David Gregg


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Winograd Convolution for Deep Neural Networks: Efficient Point Selection


Jan 25, 2022
Syed Asad Alam, Andrew Anderson, Barbara Barabasz, David Gregg

* 19 pages, 3 figures, 9 tables and 32 equations 

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TASO: Time and Space Optimization for Memory-Constrained DNN Inference


May 21, 2020
Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg


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Composition of Saliency Metrics for Channel Pruning with a Myopic Oracle


Apr 03, 2020
Kaveena Persand, Andrew Anderson, David Gregg


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Performance-Oriented Neural Architecture Search


Jan 09, 2020
Andrew Anderson, Jing Su, Rozenn Dahyot, David Gregg

* The 2019 International Conference on High Performance Computing & Simulation 

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A Taxonomy of Channel Pruning Signals in CNNs


Jun 11, 2019
Kaveena Persand, Andrew Anderson, David Gregg


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Explaining Reinforcement Learning to Mere Mortals: An Empirical Study


Mar 22, 2019
Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Alan Fern, Margaret Burnett

* 7 pages 

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Optimal DNN Primitive Selection with Partitioned Boolean Quadratic Programming


Nov 02, 2018
Andrew Anderson, David Gregg


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Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks


Sep 27, 2018
Andrew Anderson, David Gregg


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Error Analysis and Improving the Accuracy of Winograd Convolution for Deep Neural Networks


Sep 22, 2018
Barbara Barabasz, Andrew Anderson, David Gregg


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