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Andrew Anderson
Andrew Anderson
AMD
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Parallel multi channel convolution using general matrix multiplication
A Vasudevan, A Anderson, D Gregg
2017 IEEE 28th International Conference on Application-specific Systems …, 2017
1822017
Low-memory gemm-based convolution algorithms for deep neural networks
A Anderson, A Vasudevan, C Keane, D Gregg
arXiv preprint arXiv:1709.03395, 2017
722017
Optimal DNN primitive selection with partitioned boolean quadratic programming
A Anderson, D Gregg
Proceedings of the 2018 International Symposium on Code Generation and …, 2018
342018
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
272020
High-Performance Low-Memory Lowering: GEMM-based Algorithms for DNN Convolution
A Anderson, A Vasudevan, C Keane, D Gregg
2020 IEEE 32nd International Symposium on Computer Architecture and High …, 2020
262020
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
242015
Winograd convolution for deep neural networks: Efficient point selection
SA Alam, A Anderson, B Barabasz, D Gregg
ACM Transactions on Embedded Computing Systems 21 (6), 1-28, 2022
222022
Bonseyes AI Pipeline—Bringing AI to You: End-to-end integration of data, algorithms, and deployment tools
MD Prado, J Su, R Saeed, L Keller, N Vallez, A Anderson, D Gregg, ...
ACM Transactions on Internet of Things 1 (4), 1-25, 2020
192020
Vectorization of multibyte floating point data formats
A Anderson, D Gregg
Proceedings of the 2016 International Conference on Parallel Architectures …, 2016
192016
Performance-oriented neural architecture search
A Anderson, J Su, R Dahyot, D Gregg
2019 International Conference on High Performance Computing & Simulation …, 2019
182019
Efficient Multibyte Floating Point Data Formats Using Vectorization
A Anderson, S Muralidharan, D Gregg
IEEE Transactions on Computers 66 (12), 2081-2096, 2017
142017
TASO: Time and Space Optimization for Memory-Constrained DNN Inference
Y Wen, A Anderson, V Radu, MFP O'Boyle, D Gregg
2020 IEEE 32nd International Symposium on Computer Architecture and High …, 2020
112020
Taxonomy of Saliency Metrics for Channel Pruning
K Persand, A Anderson, D Gregg
IEEE Access 9, 120110-120126, 2021
72021
Composition of Saliency Metrics for Pruning with a Myopic Oracle
K Persand, A Anderson, D Gregg
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 753-759, 2020
72020
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
32019
Hardware and software performance in deep learning
A Anderson, J Garland, Y Wen, B Barabasz, K Persand, A Vasudevan, ...
by Geoff V. Merrett Bashir M. Al-Hashimi. Computing. Institution of …, 2019
32019
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
22019
Bonseyes AI Pipeline—Bringing AI to you
M DE PRADO, J SU, R SAEED, K LORENZO, N VALLEZ, A ANDERSON, ...
End-to-end integration of data, algorithms and deployment tools, arxiv. org …, 2019
12019
Improving the Accuracy of Winograd Convolution for Deep Neural Networks
B BARABASZ, A ANDERSON, D GREGG
arXiv preprint arXiv:1803.10986, 2018
12018
Vectorization for Accelerated Gather/Scatter and Multibyte Data Formats
A Anderson
Trinity College Dublin, 2016
12016
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Artículos 1–20