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2020 – today
- 2021
[j6]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:
Enabling rapid COVID-19 small molecule drug design through scalable deep learning of generative models. Int. J. High Perform. Comput. Appl. 35(5) (2021)- 2020
- [j5]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:
Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications. IEEE Trans. Vis. Comput. Graph. 26(1): 291-300 (2020)
2010 – 2019
- 2019
- [c8]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:
Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. CLUSTER 2019: 1-10 - [i3]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:
Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications. CoRR abs/1907.08325 (2019) - [i2]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:
Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. CoRR abs/1910.02270 (2019) - [i1]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:
Merlin: Enabling Machine Learning-Ready HPC Ensembles. CoRR abs/1912.02892 (2019) - 2014
- [j4]Shea N. Gardner, Crystal J. Jaing, Maher M. Elsheikh, José Peña, David A. Hysom, Monica K. Borucki:
Multiplex Degenerate Primer Design for Targeted Whole Genome Amplification of Many Viral Genomes. Adv. Bioinformatics 2014: 101894:1-101894:8 (2014) - [c7]Sasha Ames, Jonathan E. Allen, David A. Hysom, G. Scott Lloyd, Maya B. Gokhale:
Design and Optimization of a Metagenomics Analysis Workflow for NVRAM. IPDPS Workshops 2014: 556-565 - 2013
- [j3]Sasha Ames, David A. Hysom, Shea N. Gardner, G. Scott Lloyd, Maya B. Gokhale, Jonathan E. Allen:
Scalable metagenomic taxonomy classification using a reference genome database. Bioinform. 29(18): 2253-2260 (2013) - 2010
- [c6]Veselin Stoyanov, Claire Cardie, Nathan Gilbert, Ellen Riloff, David Buttler, David Hysom:
Coreference Resolution with Reconcile. ACL (2) 2010: 156-161
2000 – 2009
- 2006
- [j2]Brian T. N. Gunney, Andrew M. Wissink, David Hysom:
Parallel clustering algorithms for structured AMR. J. Parallel Distributed Comput. 66(11): 1419-1430 (2006) - [c5]Christopher T. Symons, Nagiza F. Samatova, Ramya Krishnamurthy, Byung-Hoon Park, Tarik Umar, David Buttler, Terence Critchlow, David Hysom:
Multi-Criterion Active Learning in Conditional Random Fields. ICTAI 2006: 323-331 - 2003
- [c4]Andrew M. Wissink, David Hysom, Richard D. Hornung:
Enhancing scalability of parallel structured AMR calculations. ICS 2003: 336-347 - 2001
- [b1]David Hysom:
New Sequential and Scalable Parallel Algorithms for Incomplete Factor Preconditioning. Old Dominion University, Norfolk, Virginia, USA, 2001 - [j1]David Hysom, Alex Pothen:
A Scalable Parallel Algorithm for Incomplete Factor Preconditioning. SIAM J. Sci. Comput. 22(6): 2194-2215 (2001)
1990 – 1999
- 1999
- [c3]David Hysom, Alex Pothen:
Parallel Computation of ILU(k) Preconditioners Without Serial Bottlenecks. PP 1999 - [c2]David Hysom, Alex Pothen:
Efficient Parallel Computation of ILU(k) Preconditioners. SC 1999: 29 - 1997
- [c1]Shaharuddin Salleh, Albert Y. Zomaya, David Hysom:
Mapping the Single-Row Routing Problem to a Hypercube. PDPTA 1997: 753-761
Coauthor Index
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