Andrew Anderson

29 papers A 1B 2C 3Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information. CoRR Kaveena Persand, Andrew Anderson, David Gregg
2022	J	`jnl`	Winograd Convolution for Deep Neural Networks: Efficient Point Selection. CoRR Syed Asad Alam, Andrew Anderson, Barbara Barabasz, David Gregg
2022	J	`jnl`	Winograd Convolution for Deep Neural Networks: Efficient Point Selection. ACM Trans. Embed. Comput. Syst. Syed Asad Alam, Andrew Anderson, Barbara Barabasz, David Gregg
2021	—	`conf`	Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information. AI*IA Kaveena Persand, Andrew Anderson, David Gregg
2021	J	`jnl`	Taxonomy of Saliency Metrics for Channel Pruning. IEEE Access Kaveena Persand, Andrew Anderson, David Gregg
2020	J	`jnl`	Bonseyes AI Pipeline - Bringing AI to You: End-to-end integration of data, algorithms, and deployment tools. ACM Trans. Internet Things 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
2020	J	`jnl`	Composition of Saliency Metrics for Channel Pruning with a Myopic Oracle. CoRR Kaveena Persand, Andrew Anderson, David Gregg
2020	—	`conf`	Composition of Saliency Metrics for Pruning with a Myopic Oracle. SSCI Kaveena Persand, Andrew Anderson, David Gregg
2020	J	`jnl`	Error Analysis and Improving the Accuracy of Winograd Convolution for Deep Neural Networks. ACM Trans. Math. Softw. Barbara Barabasz, Andrew Anderson, Kirk M. Soodhalter, David Gregg
2020	C	`conf`	High-Performance Low-Memory Lowering: GEMM-based Algorithms for DNN Convolution. SBAC-PAD Andrew Anderson, Aravind Vasudevan, Cormac Keane, David Gregg
2020	J	`jnl`	Performance-Oriented Neural Architecture Search. CoRR Andrew Anderson, Jing Su, Rozenn Dahyot, David Gregg
2020	C	`conf`	TASO: Time and Space Optimization for Memory-Constrained DNN Inference. SBAC-PAD Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg
2020	J	`jnl`	TASO: Time and Space Optimization for Memory-Constrained DNN Inference. CoRR Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg
2019	J	`jnl`	A Taxonomy of Channel Pruning Signals in CNNs. CoRR Kaveena Persand, Andrew Anderson, David Gregg
2019	B	`conf`	POSTER: Space and Time Optimal DNN Primitive Selection with Integer Linear Programming. PACT Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg
2019	—	`conf`	Performance-Oriented Neural Architecture Search. HPCS Andrew Anderson, Jing Su, Rozenn Dahyot, David Gregg
2019	C	`conf`	Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks. ARITH Andrew Anderson, Michael Doyle, David Gregg
2018	J	`jnl`	Improving accuracy of Winograd convolution for DNNs. CoRR Barbara Barabasz, Andrew Anderson, David Gregg
2018	A	`conf`	Optimal DNN primitive selection with partitioned boolean quadratic programming. CGO Andrew Anderson, David Gregg
2018	J	`jnl`	Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks. CoRR Andrew Anderson, David Gregg
2017	J	`jnl`	Efficient Multibyte Floating Point Data Formats Using Vectorization. IEEE Trans. Computers Andrew Anderson, Servesh Muralidharan, David Gregg
2017	J	`jnl`	Low-memory GEMM-based convolution algorithms for deep neural networks. CoRR Andrew Anderson, Aravind Vasudevan, Cormac Keane, David Gregg
2017	J	`jnl`	Optimal DNN Primitive Selection with Partitioned Boolean Quadratic Programming. CoRR Andrew Anderson, David Gregg
2017	J	`jnl`	Parallel Multi Channel Convolution using General Matrix Multiplication. CoRR Aravind Vasudevan, Andrew Anderson, David Gregg
2017	—	`conf`	Parallel Multi Channel convolution using General Matrix Multiplication. ASAP Aravind Vasudevan, Andrew Anderson, David Gregg
2016	J	`jnl`	Automatic Vectorization of Interleaved Data Revisited. ACM Trans. Archit. Code Optim. Andrew Anderson, Avinash Malik, David Gregg
2016	—	`—`	Vectorization for accelerated gather/scatter and multibyte data formats Andrew Anderson
2016	B	`conf`	Vectorization of Multibyte Floating Point Data Formats. PACT Andrew Anderson, David Gregg
2016	J	`jnl`	Vectorization of Multibyte Floating Point Data Formats. CoRR Andrew Anderson, David Gregg