David Appelhans

According to our database, David Appelhans authored at least 8 papers between 2015 and 2019.

Collaborative distances:

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

2019

GPU acceleration of extreme scale pseudo-spectral simulations of turbulence using asynchronism.

Kiran Ravikumar, David Appelhans, P. K. Yeung

Proceedings of the International Conference for High Performance Computing, 2019

Preparation and optimization of a diverse workload for a large-scale heterogeneous system.

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

Proceedings of the International Conference for High Performance Computing, 2019

2018

An Asynchronous Two-Level Checkpointing Method to Solve Adjoint Problems on Hierarchical Memory Spaces.

Debanjan Datta, David Appelhans, Constantinos Evangelinos, Kirk E. Jordan

Comput. Sci. Eng., 2018

The design, deployment, and evaluation of the CORAL pre-exascale systems.

Sudharshan S. Vazhkudai, Bronis R. de Supinski, Arthur S. Bland, Al Geist, James C. Sexton, Jim Kahle, Christopher Zimmer, Scott Atchley, Sarp Oral, Don E. Maxwell, Verónica G. Vergara Larrea, Adam Bertsch, Robin Goldstone, Wayne Joubert, Chris Chambreau, David Appelhans, Robert Blackmore, Ben Casses, George Chochia, Gene Davison, Matthew A. Ezell, Tom Gooding, Elsa Gonsiorowski, Leopold Grinberg, Bill Hanson, Bill Hartner, Ian Karlin, Matthew L. Leininger, Dustin Leverman, Chris Marroquin, Adam Moody, Martin Ohmacht, Ramesh Pankajakshan, Fernando Pizzano, James H. Rogers, Bryan S. Rosenburg, Drew Schmidt, Mallikarjun Shankar, Feiyi Wang, Py Watson, Bob Walkup, Lance D. Weems, Junqi Yin

Proceedings of the International Conference for High Performance Computing, 2018

2017

A low-communication, parallel algorithm for solving PDEs based on range decomposition.

David J. Appelhans, Tom Manteuffel, Stephen F. McCormick, John W. Ruge

Numer. Linear Algebra Appl., 2017

Leveraging NVLINK and asynchronous data transfer to scale beyond the memory capacity of GPUs.

David Appelhans, Bob Walkup

Proceedings of the 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2017

2015

Integrating GPU support for OpenMP offloading directives into Clang.

Carlo Bertolli, Samuel Antão, Gheorghe-Teodor Bercea, Arpith C. Jacob, Alexandre E. Eichenberger, Tong Chen, Zehra Sura, Hyojin Sung, Georgios Rokos, David Appelhans, Kevin O'Brien

Proceedings of the Second Workshop on the LLVM Compiler Infrastructure in HPC, 2015

Performance analysis of OpenMP on a GPU using a CORAL proxy application.

Gheorghe-Teodor Bercea, Carlo Bertolli, Samuel F. Antão, Arpith C. Jacob, Alexandre E. Eichenberger, Tong Chen, Zehra Sura, Hyojin Sung, Georgios Rokos, David Appelhans, Kevin O'Brien

Proceedings of the 6th International Workshop on Performance Modeling, 2015