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ORCIDDanny Perez
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2020 – today
- 2024
[j9]Samuel Temple Reeve
, Jean-Luc Fattebert, Stephen Dewitt, Pablo Seleson, David Joy, Stuart R. Slattery, Aaron Scheinberg, Rene Halver, Christoph Junghans, Christian F. A. Negre, Michael E. Wall, Yu Zhang, Anders M. N. Niklasson, James F. Belak, Susan M. Mniszewski, Danny Perez:
Co-design for Particle Applications at Exascale. Comput. Sci. Eng. 26(2): 43-52 (2024)- [j8]Rostyslav Hnatyshyn, Jieqiong Zhao, Danny Perez, James P. Ahrens, Ross Maciejewski:
MolSieve: A Progressive Visual Analytics System for Molecular Dynamics Simulations. IEEE Trans. Vis. Comput. Graph. 30(1): 727-737 (2024) - [i6]Thomas D. Swinburne, Danny Perez:
Misspecification uncertainties in near-deterministic regression. CoRR abs/2402.01810 (2024) - [i5]Kylee Santos, Stan G. Moore, Tomas Oppelstrup, Amirali Sharifian, Ilya Sharapov, Aidan P. Thompson, Delyan Z. Kalchev, Danny Perez, Robert Schreiber, Scott Pakin, Edgar A Leon, James H. Laros III, Michael James, Sivasankaran Rajamanickam:
Breaking the Molecular Dynamics Timescale Barrier Using a Wafer-Scale System. CoRR abs/2405.07898 (2024) - 2023
- [j7]Yen Ting Lin, Yifeng Tian, Danny Perez, Daniel Livescu:
Regression-Based Projection for Learning Mori-Zwanzig Operators. SIAM J. Appl. Dyn. Syst. 22(4): 2890-2926 (2023) - [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 - [i4]Rostyslav Hnatyshyn, Jieqiong Zhao, Danny Perez, James P. Ahrens, Ross Maciejewski:
MolSieve: A Progressive Visual Analytics System for Molecular Dynamics Simulations. CoRR abs/2308.11724 (2023) - 2022
- [j6]Andrew Garmon, Vinay Ramakrishnaiah, Danny Perez:
Resource allocation for task-level speculative scientific applications: A proof of concept using Parallel Trajectory Splicing. Parallel Comput. 112: 102936 (2022) - [c3]Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, Franck Cappello:
MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics. ICDE 2022: 27-40 - [i3]Olga Gorynina, Frédéric Legoll, Tony Lelièvre, Danny Perez:
Combining machine-learned and empirical force fields with the parareal algorithm: application to the diffusion of atomistic defects. CoRR abs/2212.10508 (2022) - 2021
- [j5]Michael Tynes, Wenhao Gao, Daniel J. Burrill, Enrique R. Batista, Danny Perez, Ping Yang, Nicholas Lubbers:
Pairwise Difference Regression: A Machine Learning Meta-algorithm for Improved Prediction and Uncertainty Quantification in Chemical Search. J. Chem. Inf. Model. 61(8): 3846-3857 (2021) - 2020
- [c2]Nasir U. Eisty, Danny Perez, Jeffrey C. Carver, J. David Moulton, Hai Ah Nam:
Testing Research Software: A Case Study. ICCS (7) 2020: 457-463 - [i2]Andrew Garmon, Vinay Ramakrishnaiah, Danny Perez:
Resource allocation for task-level speculative scientific applications: a proof of concept using Parallel Trajectory Splicing. CoRR abs/2010.11792 (2020) - [i1]Rahulkumar Gayatri, Stan G. Moore, Evan Weinberg, Nicholas Lubbers, Sarah Anderson, Jack Deslippe, Danny Perez, Aidan P. Thompson:
Rapid Exploration of Optimization Strategies on Advanced Architectures using TestSNAP and LAMMPS. CoRR abs/2011.12875 (2020)
2010 – 2019
- 2018
- [c1]Michael A. Sevilla, Carlos Maltzahn, Peter Alvaro, Reza Nasirigerdeh, Bradley W. Settlemyer, Danny Perez, David Rich, Galen M. Shipman:
Programmable Caches with a Data Management Language and Policy Engine. CCGrid 2018: 203-212 - 2016
- [j4]Richard J. Zamora, Arthur F. Voter, Danny Perez, Nandakishore Santhi, Susan M. Mniszewski, Sunil Thulasidasan, Stephan J. Eidenbenz:
Discrete event performance prediction of speculatively parallel temperature-accelerated dynamics. Simul. 92(12): 1065-1086 (2016) - 2015
- [j3]Andrew Binder, Mitchell Luskin, Danny Perez, Arthur F. Voter:
Analysis of Transition State Theory Rates upon Spatial Coarse-Graining. Multiscale Model. Simul. 13(3): 890-915 (2015) - [j2]Susan M. Mniszewski, Christoph Junghans, Arthur F. Voter, Danny Perez, Stephan J. Eidenbenz:
TADSim: Discrete Event-Based Performance Prediction for Temperature-Accelerated Dynamics. ACM Trans. Model. Comput. Simul. 25(3): 15:1-15:26 (2015) - 2012
- [j1]Claude Le Bris, Tony Lelièvre, Mitchell Luskin, Danny Perez:
A mathematical formalization of the parallel replica dynamics. Monte Carlo Methods Appl. 18(2): 119-146 (2012)
Coauthor Index
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last updated on 2024-10-23 20:33 CEST by the dblp team
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