Andrew Anderson
Andrew Anderson
E-mail megerősítve itt: tcd.ie - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Parallel multi channel convolution using general matrix multiplication
A Vasudevan, A Anderson, D Gregg
2017 IEEE 28th International Conference on Application-specific Systems …, 2017
552017
Low-memory gemm-based convolution algorithms for deep neural networks
A Anderson, A Vasudevan, C Keane, D Gregg
arXiv preprint arXiv:1709.03395, 2017
312017
Optimal DNN primitive selection with partitioned boolean quadratic programming
A Anderson, D Gregg
Proceedings of the 2018 International Symposium on Code Generation and …, 2018
162018
Automatic vectorization of interleaved data revisited
A Anderson, A Malik, D Gregg
ACM Transactions on Architecture and Code Optimization (TACO) 12 (4), 1-25, 2015
162015
Vectorization of multibyte floating point data formats
A Anderson, D Gregg
2016 International Conference on Parallel Architecture and Compilation …, 2016
72016
Performance-oriented neural architecture search
A Anderson, J Su, R Dahyot, D Gregg
2019 International Conference on High Performance Computing & Simulation …, 2019
52019
Error analysis and improving the accuracy of Winograd convolution for deep neural networks
B Barabasz, A Anderson, KM Soodhalter, D Gregg
ACM Transactions on Mathematical Software (TOMS) 46 (4), 1-33, 2020
42020
Efficient Multibyte Floating Point Data Formats Using Vectorization
A Anderson, S Muralidharan, D Gregg
IEEE Transactions on Computers 66 (12), 2081-2096, 2017
32017
TASO: Time and Space Optimization for Memory-Constrained DNN Inference
Y Wen, A Anderson, V Radu, MFP O'Boyle, D Gregg
arXiv preprint arXiv:2005.10709, 2020
12020
Composition of Saliency Metrics for Channel Pruning with a Myopic Oracle
K Persand, A Anderson, D Gregg
arXiv preprint arXiv:2004.03376, 2020
12020
POSTER: Space and Time Optimal DNN Primitive Selection with Integer Linear Programming
Y Wen, A Anderson, V Radu, MFP O’Boyle, D Gregg
2019 28th International Conference on Parallel Architectures and Compilation …, 2019
12019
Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks
A Anderson, M Doyle, D Gregg
2019 IEEE 26th Symposium on Computer Arithmetic (ARITH), 61-68, 2019
12019
A Taxonomy of Channel Pruning Signals in CNNs
K Persand, A Anderson, D Gregg
arXiv preprint arXiv:1906.04675, 2019
2019
Hardware and software performance in deep learning
A Anderson, J Garland, Y Wen, B Barabasz, K Persand, A Vasudevan, ...
Many-Core Computing: Hardware and Software, 141, 2019
2019
Improving the Accuracy of Winograd Convolution for Deep Neural Networks
B BARABASZ, A ANDERSON, D GREGG
arXiv preprint arXiv:1803.10986, 2018
2018
Improving accuracy of Winograd convolution for DNNs.
B Barabasz, A Anderson, D Gregg
CoRR, 2018
2018
Vectorization for Accelerated Gather/Scatter and Multibyte Data Formats
A Anderson
Trinity College Dublin, 2016
2016
Artifact Evaluation Committee
A Anderson, G Gill, P Jiang, G Jo, L Oliveira, J Park, F Vella, D Wilkinson
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Cikkek 1–18