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2020 – today
- 2022
[j4]J. Luc Peterson
, Benjamin Bay, Joe Koning, Peter B. Robinson, Jessica Semler, Jeremy White, Rushil Anirudh, Kevin Athey, Peer-Timo Bremer, Francesco Di Natale, David Fox, Jim A. Gaffney, Sam Ade Jacobs, Bhavya Kailkhura, Bogdan Kustowski, Steve H. Langer, Brian K. Spears, Jayaraman J. Thiagarajan, Brian Van Essen, Jae-Seung Yeom:
Enabling machine learning-ready HPC ensembles with Merlin. Future Gener. Comput. Syst. 131: 255-268 (2022)
2010 – 2019
- 2019
- [c7]Ian Karlin, Yoonho Park, Bronis R. de Supinski, Peng Wang, Bert Still, David Beckingsale, Robert Blake, Tong Chen, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steven H. Langer, Hai Le, Eun Kyung Lee, Naoya Maruyama, Xinyu Que, David F. Richards, Björn Sjögreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Böhme, Jamie A. Bramwell, James M. Brase, José R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Ruipeng Li, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Lu Wang, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz:
Preparation and optimization of a diverse workload for a large-scale heterogeneous system. SC 2019: 32:1-32:17 - [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) - 2016
- [c6]Steven H. Langer, Brian K. Spears, J. Luc Peterson, John Everett Field, Ryan Nora, Scott Brandon:
A HYDRA UQ Workflow for NIF Ignition Experiments. ISAV@SC 2016: 1-6 - [c5]Edgar A. León, Ian Karlin, Abhinav Bhatele, Steven H. Langer, Chris Chambreau, Louis H. Howell, Trent D'Hooge, Matthew L. Leininger:
Characterizing parallel scientific applications on commodity clusters: an empirical study of a tapered fat-tree. SC 2016: 909-920 - 2014
- [j3]Steven H. Langer, Abhinav Bhatele, Charles H. Still:
pF3D Simulations of Laser-Plasma Interactions in National Ignition Facility Experiments. Comput. Sci. Eng. 16(6): 42-50 (2014) - [c4]Abhinav Bhatele, Nikhil Jain, Katherine E. Isaacs, Ronak Buch, Todd Gamblin, Steven H. Langer, Laxmikant V. Kalé:
Optimizing the performance of parallel applications on a 5D torus via task mapping. HiPC 2014: 1-10 - [c3]Steven H. Langer, Ian Karlin, Michael M. Marinak:
Performance Characteristics of HYDRA - A Multi-physics Simulation Code from LLNL. VECPAR 2014: 173-181 - 2013
- [j2]Brian Carnes, Bor Chan, Erik W. Draeger, Jean-Luc Fattebert, Larry Fried, James N. Glosli, William D. Krauss, Steve H. Langer, Rose McCallen, Arthur A. Mirin, Fady Najjar, Albert L. Nichols, Tomas Oppelstrup, James A. Rathkopf, David F. Richards, Frederick H. Streitz, Pavlos Vranas, John Jeremy Rice, John A. Gunnels, Viatcheslav Gurev, Changhoan Kim, John Magerlein, Matthias Reumann, Hui-Fang Wen:
Science at LLNL with IBM Blue Gene/Q. IBM J. Res. Dev. 57(1/2): 11 (2013) - [c2]Abhinav Bhatele, Kathryn M. Mohror, Steve H. Langer, Katherine E. Isaacs:
There goes the neighborhood: performance degradation due to nearby jobs. SC 2013: 41:1-41:12 - 2012
- [j1]Aaditya G. Landge, Joshua A. Levine, Abhinav Bhatele, Katherine E. Isaacs, Todd Gamblin, Martin Schulz, Steve H. Langer, Peer-Timo Bremer, Valerio Pascucci:
Visualizing Network Traffic to Understand the Performance of Massively Parallel Simulations. IEEE Trans. Vis. Comput. Graph. 18(12): 2467-2476 (2012) - [c1]Abhinav Bhatele, Todd Gamblin, Steve H. Langer, Peer-Timo Bremer, Erik W. Draeger, Bernd Hamann, Katherine E. Isaacs, Aaditya G. Landge, Joshua A. Levine, Valerio Pascucci, Martin Schulz, Charles H. Still:
Mapping applications with collectives over sub-communicators on torus networks. SC 2012: 97
Coauthor Index
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