Tom Benson

According to our database, Tom Benson authored at least 7 papers between 2019 and 2022.

Collaborative distances:

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

2022

Parallelizing Graph Neural Networks via Matrix Compaction for Edge-Conditioned Networks.

Shehtab Zaman, Tim Moon, Tom Benson, Sam Adé Jacobs, Kenneth Chiu, Brian Van Essen

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

Detecting languages in streetscapes using deep convolutional neural networks.

You Xuan Thung, Tom Benson, Nikita Klimenko

Proceedings of the IEEE International Conference on Big Data, 2022

2021

SUPER: SUb-Graph Parallelism for TransformERs.

Arpan Jain, Tim Moon, Tom Benson, Hari Subramoni, Sam Adé Jacobs, Dhabaleswar K. Panda, Brian Van Essen

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2019

Towards Large-scale Drive-by Sensing with Multi-purpose City Scanner Nodes.

Simone Mora, Amin Anjomshoaa, Tom Benson, Fábio Duarte, Carlo Ratti

Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

Channel and filter parallelism for large-scale CNN training.

Nikoli Dryden, Naoya Maruyama, Tim Moon, Tom Benson, Marc Snir, Brian Van Essen

Proceedings of the International Conference for High Performance Computing, 2019

Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism.

Nikoli Dryden, Naoya Maruyama, Tom Benson, Tim Moon, Marc Snir, Brian Van Essen

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Parallelizing Training of Deep Generative Models on Massive Scientific Datasets.

Sam Ade Jacobs, Jim Gaffney, Tom Benson, Peter B. Robinson, J. Luc Peterson, Brian K. Spears, Brian Van Essen, David Hysom, Jae-Seung Yeom, Tim Moon, Rushil Anirudh, Jayaraman J. Thiagarajan, Shusen Liu, Peer-Timo Bremer

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019