David Hysom - RankMe

15 papers A 2B 1C 1Misc 1Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
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
2020	J	`jnl`	Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications. IEEE Trans. Vis. Comput. Graph. Shusen Liu, Jim Gaffney, J. Luc Peterson, Peter B. Robinson, Harsh Bhatia, Valerio Pascucci, Brian K. Spears, Peer-Timo Bremer, Di Wang, Dan Maljovec, Rushil Anirudh, Jayaraman J. Thiagarajan, Sam Ade Jacobs, Brian C. Van Essen, David Hysom, Jae-Seung Yeom
2019	J	`jnl`	Merlin: Enabling Machine Learning-Ready HPC Ensembles. CoRR J. Luc Peterson, Rushil Anirudh, Kevin Athey, Benjamin Bay, Peer-Timo Bremer, Vic Castillo, Francesco Di Natale, David Fox, Jim A. Gaffney, David Hysom, Sam Ade Jacobs, Bhavya Kailkhura, Joe Koning, Bogdan Kustowski, Steven H. Langer, Peter B. Robinson, Jessica Semler, Brian K. Spears, Jayaraman J. Thiagarajan, Brian Van Essen, Jae-Seung Yeom
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
2019	J	`jnl`	Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications. CoRR Shusen Liu, Di Wang, Dan Maljovec, Rushil Anirudh, Jayaraman J. Thiagarajan, Sam Ade Jacobs, Brian C. Van Essen, David Hysom, Jae-Seung Yeom, Jim Gaffney, J. Luc Peterson, Peter B. Robinson, Harsh Bhatia, Valerio Pascucci, Brian K. Spears, Peer-Timo Bremer
2010	—	`conf`	Coreference Resolution with Reconcile. ACL (2) Veselin Stoyanov, Claire Cardie, Nathan Gilbert, Ellen Riloff, David Buttler, David Hysom
2006	B	`conf`	Multi-Criterion Active Learning in Conditional Random Fields. ICTAI Christopher T. Symons, Nagiza F. Samatova, Ramya Krishnamurthy, Byung-Hoon Park, Tarik Umar, David Buttler, Terence Critchlow, David Hysom
2006	J	`jnl`	Parallel clustering algorithms for structured AMR. J. Parallel Distributed Comput. Brian T. N. Gunney, Andrew M. Wissink, David Hysom
2003	A	`conf`	Enhancing scalability of parallel structured AMR calculations. ICS Andrew M. Wissink, David Hysom, Richard D. Hornung
2001	J	`jnl`	A Scalable Parallel Algorithm for Incomplete Factor Preconditioning. SIAM J. Sci. Comput. David Hysom, Alex Pothen
2001	—	`—`	New Sequential and Scalable Parallel Algorithms for Incomplete Factor Preconditioning. David Hysom
1999	A	`conf`	Efficient Parallel Computation of ILU(k) Preconditioners. SC David Hysom, Alex Pothen
1999	—	`conf`	Parallel Computation of ILU(k) Preconditioners Without Serial Bottlenecks. PP David Hysom, Alex Pothen
1997	Misc	`conf`	Mapping the Single-Row Routing Problem to a Hypercube. PDPTA Shaharuddin Salleh, Albert Y. Zomaya, David Hysom