Andrew Anderson

According to our database, Andrew Anderson authored at least 22 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Winograd Convolution for Deep Neural Networks: Efficient Point Selection.

Syed Asad Alam, Andrew Anderson, Barbara Barabasz, David Gregg

ACM Trans. Embed. Comput. Syst., November, 2022

2021

Taxonomy of Saliency Metrics for Channel Pruning.

Kaveena Persand, Andrew Anderson, David Gregg

IEEE Access, 2021

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

Kaveena Persand, Andrew Anderson, David Gregg

Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

2020

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

Barbara Barabasz, Andrew Anderson, Kirk M. Soodhalter, David Gregg

ACM Trans. Math. Softw., 2020

Bonseyes AI Pipeline - Bringing AI to You: End-to-end integration of data, algorithms, and deployment tools.

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

ACM Trans. Internet Things, 2020

Composition of Saliency Metrics for Channel Pruning with a Myopic Oracle.

Kaveena Persand, Andrew Anderson, David Gregg

CoRR, 2020

Composition of Saliency Metrics for Pruning with a Myopic Oracle.

Kaveena Persand, Andrew Anderson, David Gregg

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

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

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

Proceedings of the 32nd IEEE International Symposium on Computer Architecture and High Performance Computing, 2020

High-Performance Low-Memory Lowering: GEMM-based Algorithms for DNN Convolution.

Andrew Anderson, Aravind Vasudevan, Cormac Keane, David Gregg

Proceedings of the 32nd IEEE International Symposium on Computer Architecture and High Performance Computing, 2020

2019

A Taxonomy of Channel Pruning Signals in CNNs.

Kaveena Persand, Andrew Anderson, David Gregg

CoRR, 2019

Performance-Oriented Neural Architecture Search.

Andrew Anderson, Jing Su, Rozenn Dahyot, David Gregg

Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks.

Andrew Anderson, Michael Doyle, David Gregg

Proceedings of the 26th IEEE Symposium on Computer Arithmetic, 2019

POSTER: Space and Time Optimal DNN Primitive Selection with Integer Linear Programming.

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

Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019

2018

Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks.

Andrew Anderson, David Gregg

CoRR, 2018

Improving accuracy of Winograd convolution for DNNs.

Barbara Barabasz, Andrew Anderson, David Gregg

CoRR, 2018

Optimal DNN primitive selection with partitioned boolean quadratic programming.

Andrew Anderson, David Gregg

Proceedings of the 2018 International Symposium on Code Generation and Optimization, 2018

2017

Efficient Multibyte Floating Point Data Formats Using Vectorization.

Andrew Anderson, Servesh Muralidharan, David Gregg

IEEE Trans. Computers, 2017

Low-memory GEMM-based convolution algorithms for deep neural networks.

Andrew Anderson, Aravind Vasudevan, Cormac Keane, David Gregg

CoRR, 2017

Parallel Multi Channel convolution using General Matrix Multiplication.

Aravind Vasudevan, Andrew Anderson, David Gregg

Proceedings of the 28th IEEE International Conference on Application-specific Systems, 2017

2016

Vectorization for accelerated gather/scatter and multibyte data formats

Andrew Anderson

PhD thesis, 2016

Automatic Vectorization of Interleaved Data Revisited.

Andrew Anderson, Avinash Malik, David Gregg

ACM Trans. Archit. Code Optim., 2016

Vectorization of Multibyte Floating Point Data Formats.

Andrew Anderson, David Gregg

Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016