Andrew Anderson

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 28

Top Topics

Saliency Estimation

Top Venues

Publications

Kaveena Persand, Andrew Anderson, David Gregg
Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information. CoRR (2022)
Syed Asad Alam, Andrew Anderson, Barbara Barabasz, David Gregg
Winograd Convolution for Deep Neural Networks: Efficient Point Selection. CoRR (2022)
Syed Asad Alam, Andrew Anderson, Barbara Barabasz, David Gregg
Winograd Convolution for Deep Neural Networks: Efficient Point Selection. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Kaveena Persand, Andrew Anderson, David Gregg
Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information. AI*IA (2021)
Kaveena Persand, Andrew Anderson, David Gregg
Taxonomy of Saliency Metrics for Channel Pruning. IEEE Access 9 (2021)
Andrew Anderson, Aravind Vasudevan, Cormac Keane, David Gregg
High-Performance Low-Memory Lowering: GEMM-based Algorithms for DNN Convolution. SBAC-PAD (2020)
Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg
TASO: Time and Space Optimization for Memory-Constrained DNN Inference. SBAC-PAD (2020)
Kaveena Persand, Andrew Anderson, David Gregg
Composition of Saliency Metrics for Channel Pruning with a Myopic Oracle. CoRR (2020)
Kaveena Persand, Andrew Anderson, David Gregg
Composition of Saliency Metrics for Pruning with a Myopic Oracle. SSCI (2020)
Andrew Anderson, Jing Su, Rozenn Dahyot, David Gregg
Performance-Oriented Neural Architecture Search. CoRR (2020)
Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg
TASO: Time and Space Optimization for Memory-Constrained DNN Inference. CoRR (2020)
Barbara Barabasz, Andrew Anderson, Kirk M. Soodhalter, David Gregg
Error Analysis and Improving the Accuracy of Winograd Convolution for Deep Neural Networks. ACM Trans. Math. Softw. 46 (4) (2020)
Miguel de Prado, Jing Su, Rabia Saeed, Lorenzo Keller, Noelia Vállez, Andrew Anderson, David Gregg, Luca Benini, Tim Llewellynn, Nabil Ouerhani, Rozenn Dahyot, Nuria Pazos
Bonseyes AI Pipeline - Bringing AI to You: End-to-end integration of data, algorithms, and deployment tools. ACM Trans. Internet Things 1 (4) (2020)
Andrew Anderson, Michael Doyle, David Gregg
Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks. ARITH (2019)
Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg
POSTER: Space and Time Optimal DNN Primitive Selection with Integer Linear Programming. PACT (2019)
Andrew Anderson, Jing Su, Rozenn Dahyot, David Gregg
Performance-Oriented Neural Architecture Search. HPCS (2019)
Kaveena Persand, Andrew Anderson, David Gregg
A Taxonomy of Channel Pruning Signals in CNNs. CoRR (2019)
Barbara Barabasz, Andrew Anderson, David Gregg
Improving accuracy of Winograd convolution for DNNs. CoRR (2018)
Andrew Anderson, David Gregg
Optimal DNN primitive selection with partitioned boolean quadratic programming. CGO (2018)
Andrew Anderson, David Gregg
Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks. CoRR (2018)
Andrew Anderson, Aravind Vasudevan, Cormac Keane, David Gregg
Low-memory GEMM-based convolution algorithms for deep neural networks. CoRR (2017)
Aravind Vasudevan, Andrew Anderson, David Gregg
Parallel Multi Channel Convolution using General Matrix Multiplication. CoRR (2017)
Andrew Anderson, Servesh Muralidharan, David Gregg
Efficient Multibyte Floating Point Data Formats Using Vectorization. IEEE Trans. Computers 66 (12) (2017)
Aravind Vasudevan, Andrew Anderson, David Gregg
Parallel Multi Channel convolution using General Matrix Multiplication. ASAP (2017)
Andrew Anderson, David Gregg
Optimal DNN Primitive Selection with Partitioned Boolean Quadratic Programming. CoRR (2017)
Andrew Anderson, Avinash Malik, David Gregg
Automatic Vectorization of Interleaved Data Revisited. ACM Trans. Archit. Code Optim. 12 (4) (2016)
Andrew Anderson, David Gregg
Vectorization of Multibyte Floating Point Data Formats. PACT (2016)
Andrew Anderson, David Gregg
Vectorization of Multibyte Floating Point Data Formats. CoRR (2016)