Danny Perez

According to our database, Danny Perez authored at least 17 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MolSieve: A Progressive Visual Analytics System for Molecular Dynamics Simulations.

Rostyslav Hnatyshyn, Jieqiong Zhao, Danny Perez, James P. Ahrens, Ross Maciejewski

IEEE Trans. Vis. Comput. Graph., January, 2024

Co-design for Particle Applications at Exascale.

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

Comput. Sci. Eng., 2024

Breaking the Molecular Dynamics Timescale Barrier Using a Wafer-Scale System.

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

CoRR, 2024

Misspecification uncertainties in near-deterministic regression.

Thomas D. Swinburne, Danny Perez

CoRR, 2024

2023

Regression-Based Projection for Learning Mori-Zwanzig Operators.

Yen Ting Lin, Yifeng Tian, Danny Perez, Daniel Livescu

SIAM J. Appl. Dyn. Syst., December, 2023

Frontier: Exploring Exascale.

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

Proceedings of the International Conference for High Performance Computing, 2023

2022

Resource allocation for task-level speculative scientific applications: A proof of concept using Parallel Trajectory Splicing.

Andrew Garmon, Vinay Ramakrishnaiah, Danny Perez

Parallel Comput., 2022

Combining machine-learned and empirical force fields with the parareal algorithm: application to the diffusion of atomistic defects.

Olga Gorynina, Frédéric Legoll, Tony Lelièvre, Danny Perez

CoRR, 2022

MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics.

Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, Franck Cappello

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Pairwise Difference Regression: A Machine Learning Meta-algorithm for Improved Prediction and Uncertainty Quantification in Chemical Search.

Michael Tynes, Wenhao Gao, Daniel J. Burrill, Enrique R. Batista, Danny Perez, Ping Yang, Nicholas Lubbers

J. Chem. Inf. Model., 2021

2020

Rapid Exploration of Optimization Strategies on Advanced Architectures using TestSNAP and LAMMPS.

Rahulkumar Gayatri, Stan G. Moore, Evan Weinberg, Nicholas Lubbers, Sarah Anderson, Jack Deslippe, Danny Perez, Aidan P. Thompson

CoRR, 2020

Testing Research Software: A Case Study.

Nasir U. Eisty, Danny Perez, Jeffrey C. Carver, J. David Moulton, Hai Ah Nam

Proceedings of the Computational Science - ICCS 2020, 2020

2018

Programmable Caches with a Data Management Language and Policy Engine.

Michael A. Sevilla, Carlos Maltzahn, Peter Alvaro, Reza Nasirigerdeh, Bradley W. Settlemyer, Danny Perez, David Rich, Galen M. Shipman

Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

2016

Discrete event performance prediction of speculatively parallel temperature-accelerated dynamics.

Richard J. Zamora, Arthur F. Voter, Danny Perez, Nandakishore Santhi, Susan M. Mniszewski, Sunil Thulasidasan, Stephan J. Eidenbenz

Simul., 2016

2015

TADSim: Discrete Event-Based Performance Prediction for Temperature-Accelerated Dynamics.

Susan M. Mniszewski, Christoph Junghans, Arthur F. Voter, Danny Perez, Stephan J. Eidenbenz

ACM Trans. Model. Comput. Simul., 2015

Analysis of Transition State Theory Rates upon Spatial Coarse-Graining.

Andrew Binder, Mitchell Luskin, Danny Perez, Arthur F. Voter

Multiscale Model. Simul., 2015

2012

A mathematical formalization of the parallel replica dynamics.

Claude Le Bris, Tony Lelièvre, Mitchell Luskin, Danny Perez

Monte Carlo Methods Appl., 2012