Tim Moon - RankMe

11 papers A 3B 1C 1Journal 5Unranked 1

Year	Rank	Type	Title / Venue / Authors
2022	B	`conf`	Parallelizing Graph Neural Networks via Matrix Compaction for Edge-Conditioned Networks. CCGRID Shehtab Zaman, Tim Moon, Tom Benson, Sam Adé Jacobs, Kenneth Chiu, Brian Van Essen
2021	J	`jnl`	Enabling rapid COVID-19 small molecule drug design through scalable deep learning of generative models. Int. J. High Perform. Comput. Appl. Sam Ade Jacobs, Tim Moon, Kevin McLoughlin, Derek Jones, David Hysom, Dong H. Ahn, John C. Gyllenhaal, Pythagoras Watson, Felice C. Lightstone, Jonathan E. Allen, Ian Karlin, Brian Van Essen
2021	J	`jnl`	Learning Interpretable Models Through Multi-Objective Neural Architecture Search. CoRR Zachariah Carmichael, Tim Moon, Sam Ade Jacobs
2021	A	`conf`	SUPER: SUb-Graph Parallelism for TransformERs. IPDPS Arpan Jain, Tim Moon, Tom Benson, Hari Subramoni, Sam Adé Jacobs, Dhabaleswar K. Panda, Brian Van Essen
2019	A	`conf`	Channel and filter parallelism for large-scale CNN training. SC Nikoli Dryden, Naoya Maruyama, Tim Moon, Tom Benson, Marc Snir, Brian Van Essen
2019	A	`conf`	Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism. IPDPS Nikoli Dryden, Naoya Maruyama, Tom Benson, Tim Moon, Marc Snir, Brian Van Essen
2019	J	`jnl`	Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism. CoRR Nikoli Dryden, Naoya Maruyama, Tom Benson, Tim Moon, Marc Snir, Brian Van Essen
2019	C	`conf`	Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. CLUSTER 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
2019	J	`jnl`	Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. CoRR Sam Ade Jacobs, Brian Van Essen, David Hysom, Jae-Seung Yeom, Tim Moon, Rushil Anirudh, Jayaraman J. Thiagarajan, Shusen Liu, Peer-Timo Bremer, Jim Gaffney, Tom Benson, Peter B. Robinson, J. Luc Peterson, Brian K. Spears
2016	J	`jnl`	Accelerating eigenvector and pseudospectra computation using blocked multi-shift triangular solves. CoRR Tim Moon, Jack Poulson
2016	—	`conf`	Communication Quantization for Data-Parallel Training of Deep Neural Networks. MLHPC@SC Nikoli Dryden, Tim Moon, Sam Ade Jacobs, Brian Van Essen