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ORCIDDavid M. Rogers 0001
Person information
- affiliation: Oak Ridge National Laboratory, Oak Ridge, TN, USA
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2020 – today
- 2024
[j10]Lois Curfman McInnes
, Michael A. Heroux, David E. Bernholdt, Anshu Dubey, Elsa Gonsiorowski, Rinku Gupta, Osni Marques, J. David Moulton, Hai Ah Nam, Boyana Norris, Elaine M. Raybourn, James M. Willenbring, Ann S. Almgren, Roscoe A. Bartlett, Kita Cranfill, Stephen Fickas, Don Frederick, William F. Godoy, Patricia A. Grubel, Rebecca Hartman-Baker, Axel Huebl, Rose Lynch, Addi Malviya-Thakur, Reed Milewicz, Mark C. Miller, Miranda Mundt, Erik Palmer, Suzanne Parete-Koon, Megan Phinney, Katherine Riley, David M. Rogers, Benjamin H. Sims, Deborah Stevens, Gregory R. Watson:
A Cast of Thousands: How the IDEAS Productivity Project Has Advanced Software Productivity and Sustainability. Comput. Sci. Eng. 26(1): 48-60 (2024)- [i5]Massimiliano Lupo Pasini, Jong Youl Choi, Kshitij Mehta, Pei Zhang, David M. Rogers, Jonghyun Bae, Khaled Z. Ibrahim, Ashwin M. Aji, Karl W. Schulz, Jorda Polo, Prasanna Balaprakash:
Scalable Training of Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN. CoRR abs/2406.12909 (2024) - 2023
- [j9]Klaus Steiniger, René Widera, Sergey I. Bastrakov, Michael Bussmann, Sunita Chandrasekaran, Benjamín Hernández, Kristina Holsapple, Axel Huebl, Guido Juckeland, Jeffrey Kelling, Matt Leinhauser, Richard Pausch, David M. Rogers, Ulrich Schramm, Jeffrey Young, Alexander Debus:
EZ: An efficient, charge conserving current deposition algorithm for electromagnetic particle-in-cell simulations. Comput. Phys. Commun. 291: 108849 (2023) - [j8]Jackson W. Burns, David M. Rogers:
QuantumScents: Quantum-Mechanical Properties for 3.5k Olfactory Molecules. J. Chem. Inf. Model. 63(23): 7330-7337 (2023) - [j7]David M. Rogers:
Three practical workflow schedulers for easy maximum parallelism. Softw. Pract. Exp. 53(1): 99-114 (2023) - [c6]Felix Meyer, Benjamín Hernández, Richard Pausch, René Widera, David Groß, Sergei I. Bastrakov, Axel Huebl, Guido Juckeland, Jeffrey Kelling, Matt Leinhauser, David M. Rogers, Ulrich Schramm, Klaus Steiniger, Stefan Gumhold, Jeff Young, Michael Bussmann, Sunita Chandrasekaran, Alexander Debus:
Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations. PASC 2023: 9:1-9:14 - [c5]Sambit Das, Bikash Kanungo, Vishal Subramanian, Gourab Panigrahi, Phani Motamarri, David M. Rogers, Paul Zimmerman, Vikram Gavini:
Large-Scale Materials Modeling at Quantum Accuracy: Ab Initio Simulations of Quasicrystals and Interacting Extended Defects in Metallic Alloys. SC 2023: 1:1-1:12 - [c4]Scott Atchley, Christopher Zimmer, John Lange, David E. Bernholdt, Verónica G. Melesse Vergara, Thomas Beck, Michael J. Brim, Reuben D. Budiardja, Sunita Chandrasekaran, Markus Eisenbach, Thomas M. Evans, Matthew Ezell, Nicholas Frontiere, Antigoni Georgiadou, Joe Glenski, Philipp Grete, Steven P. Hamilton, John K. Holmen, Axel Huebl, Daniel A. Jacobson, Wayne Joubert, Kim H. McMahon, Elia Merzari, Stan G. Moore, Andrew Myers, Stephen Nichols, Sarp Oral, Thomas Papatheodore, Danny Perez, David M. Rogers, Evan Schneider, Jean-Luc Vay, P. K. Yeung:
Frontier: Exploring Exascale. SC 2023: 52:1-52:16 - [c3]Reuben D. Budiardja, Mark A. Berrill, Markus Eisenbach, Gustav R. Jansen, Wayne Joubert, Stephen Nichols, David M. Rogers, Arnold N. Tharrington, O. E. Bronson Messer:
Ready for the Frontier: Preparing Applications for the World's First Exascale System. ISC 2023: 182-201 - [i4]Lois Curfman McInnes, Michael A. Heroux, David E. Bernholdt, Anshu Dubey, Elsa Gonsiorowski, Rinku Gupta, Osni Marques, J. David Moulton, Hai Ah Nam, Boyana Norris, Elaine M. Raybourn, James M. Willenbring, Ann S. Almgren, Ross Bartlett, Kita Cranfill, Stephen Fickas, Don Frederick, William F. Godoy, Patricia Grubel, Rebecca Hartman-Baker, Axel Huebl, Rose Lynch, Addi Malviya-Thakur, Reed Milewicz, Mark C. Miller, Miranda Mundt, Erik Palmer, Suzanne Parete-Koon, Megan Phinney, Katherine Riley, David M. Rogers, Benjamin H. Sims, Deborah Stevens, Gregory R. Watson:
A cast of thousands: How the IDEAS Productivity project has advanced software productivity and sustainability. CoRR abs/2311.02010 (2023) - 2022
- [j6]Sambit Das, Phani Motamarri, Vishal Subramanian, David M. Rogers, Vikram Gavini:
DFT-FE 1.0: A massively parallel hybrid CPU-GPU density functional theory code using finite-element discretization. Comput. Phys. Commun. 280: 108473 (2022) - [j5]Addi Malviya-Thakur, David E. Bernholdt, William F. Godoy, Gregory R. Watson, Mathieu Doucet, Mark A. Coletti, David M. Rogers, Marshall T. McDonnell, Jay Jay Billings, Barney Maccabe:
Research Software Engineering at Oak Ridge National Laboratory. Comput. Sci. Eng. 24(5): 14-23 (2022) - [c2]David Eberius, Philip C. Roth, David M. Rogers:
Understanding Strong Scaling on GPUs Using Empirical Performance Saturation Size. P3HPC@SC 2022: 26-35 - 2021
- [j4]Josh Vincent Vermaas, Ada Sedova, Matthew B. Baker, Swen Boehm, David M. Rogers, Jeff Larkin, Jens Glaser, Micholas Dean Smith, Oscar R. Hernandez, Jeremy C. Smith:
Supercomputing Pipelines Search for Therapeutics Against COVID-19. Comput. Sci. Eng. 23(1): 7-16 (2021) - [j3]Jens Glaser, Josh Vincent Vermaas, David M. Rogers, Jeff Larkin, Scott LeGrand, Swen Boehm, Matthew B. Baker, Aaron Scheinberg, Andreas F. Tillack, Mathialakan Thavappiragasam, Ada Sedova, Oscar R. Hernandez:
High-throughput virtual laboratory for drug discovery using massive datasets. Int. J. High Perform. Comput. Appl. 35(5) (2021) - [i3]David M. Rogers:
Three Practical Workflow Schedulers for Easy Maximum Parallelism. CoRR abs/2110.11461 (2021) - 2020
- [j2]David M. Rogers:
Protein Conformational States - A First Principles Bayesian Method. Entropy 22(11): 1242 (2020) - [j1]Atanu Acharya, Rupesh Agarwal, Matthew B. Baker, Jérôme Baudry, Debsindhu Bhowmik, Swen Böhm, Kendall G. Byler, Sam Yen-Chi Chen, Leighton Coates, Connor J. Cooper, Omar Demerdash, Isabella Daidone, John D. Eblen, Sally R. Ellingson, Stefano Forli, Jens Glaser, James C. Gumbart, John Gunnels, Oscar R. Hernandez, Stephan Irle, Daniel W. Kneller, Andrey Kovalevsky, Jeffrey M. Larkin, Travis J. Lawrence, Scott LeGrand, Shih-Hsien Liu, Julie C. Mitchell, Gilchan Park, Jerry M. Parks, Anna Pavlova, Loukas Petridis, Duncan Poole, Line Pouchard, Arvind Ramanathan, David M. Rogers, Diogo Santos-Martins, Aaron Scheinberg, Ada Sedova, Yue Shen, Jeremy C. Smith, Micholas Dean Smith, Carlos Soto, Aristides Tsaris, Mathialakan Thavappiragasam, Andreas F. Tillack, Josh Vincent Vermaas, Van Quan Vuong, Junqi Yin, Shinjae Yoo, Mai Zahran, Laura Zanetti Polzi:
Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19. J. Chem. Inf. Model. 60(12): 5832-5852 (2020) - [i2]David M. Rogers:
Protein Conformational States: A First Principles Bayesian Method. CoRR abs/2008.02353 (2020)
2010 – 2019
- 2016
- [c1]David M. Rogers:
Efficient Primitives for Standard Tensor Linear Algebra. XSEDE 2016: 14:1-14:7 - 2015
- [i1]David M. Rogers:
Towards a Direct, By-Need Evaluator for Dependently Typed Languages. CoRR abs/1509.07036 (2015)
Coauthor Index
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last updated on 2024-09-26 23:44 CEST by the dblp team
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