EDBT 2026 Demo / reviewers in the wild / expert
David Appelhans
dblp:174/6772 · also David J. Appelhans
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0003-1433-9198ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
3 papers |
High-performance computing · 63% Parallel and multicore computing · 13% GPUs and heterogeneous computing · 13% |
Topics — the 8 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
High-performance computing
application porting |
0.4 | 1 | 2019 | Preparation and optimization of a diverse workload for a large-scale heterogeneous system · SC 2019 |
GPUs and heterogeneous computing
GPU computing |
0.4 | 1 | 2019 | GPU acceleration of extreme scale pseudo-spectral simulations of turbulence using asynchronism · SC 2019 |
Parallel and multicore computing
programming models |
0.4 | 1 | 2019 | Preparation and optimization of a diverse workload for a large-scale heterogeneous system · SC 2019 |
High-performance computing
scientific computing |
0.4 | 1 | 2019 | GPU acceleration of extreme scale pseudo-spectral simulations of turbulence using asynchronism · SC 2019 |
High-performance computing › scientific computing systems › computational fluid dynamics
turbulence simulation |
0.4 | 1 | 2019 | GPU acceleration of extreme scale pseudo-spectral simulations of turbulence using asynchronism · SC 2019 |
High-performance computing › supercomputing
supercomputer deployment |
0.3 | 1 | 2018 | The design, deployment, and evaluation of the CORAL pre-exascale systems · SC 2018 |
Performance modeling and evaluation
benchmarking |
0.2 | 2 | 2019 | Preparation and optimization of a diverse workload for a large-scale heterogeneous system · SC 2019 The design, deployment, and evaluation of the CORAL pre-exascale systems · SC 2018 |
Interconnection networks and networks-on-chip › interprocessor communication
all-to-all communication |
0.1 | 1 | 2019 | GPU acceleration of extreme scale pseudo-spectral simulations of turbulence using asynchronism · SC 2019 |
Methods — techniques the papers use, named apart from their topics
asynchronous batching · 0.4MPI+OpenMP · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Preparation and optimization of a diverse workload for a large-scale heterogeneous systemabstractProductivity from day one on supercomputers that leverage new technologies requires significant preparation. An institution that procures a novel system architecture often lacks sufficient institutional knowledge and skills to prepare for it. Thus, the "Center of Excellence" (CoE) concept has emerged to prepare for systems such as Summit and Sierra, currently the top two systems in the Top 500. This paper documents CoE experiences that prepared a workload of diverse applications and math libraries for a heterogeneous system. We describe our approach to this preparation, including our management and execution strategies, and detail our experiences with and reasons for using different programming approaches. Our early science and performance results show that the project enabled significant early seismic science with up to a l4X throughput increase over Cori. In addition to our successes, we discuss our challenges and failures so others may benefit from our experience. Ian Karlin, Yoonho Park, Bronis R. de Supinski, Bert Still, D. A. Beckingsale, Robert Blake, Tong Chen 0001, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steve H. Langer, Hai Le, Naoya Maruyama, Xinyu Que, David F. Richards, Björn Sjögreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, 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, 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 A. Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz 0001, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz |
SC | 28 |
| 2019 | GPU acceleration of extreme scale pseudo-spectral simulations of turbulence using asynchronismabstractThis paper presents new advances in GPU-driven Fourier pseudo-spectral numerical algorithms, which allow the simulation of turbulent fluid flow at problem sizes beyond the current state of the art. In contrast to several massively parallel petascale systems, the dense nodes of Summit, Sierra, and expected exascale machines can be exploited with coarser MPI decompositions which result in improved MPI all-to-all scaling. An asynchronous batching strategy, combined with the fast hardware connection between the large CPU memory and the fast GPUs allows effective use of the GPUs on problem sizes which are too large to reside in GPU memory. Communication performance is further improved by a hybrid MPI+OpenMP approach. Favorable performance is obtained up to a 184323 problem size on 3072 nodes of Summit, with a GPU to CPU speedup of 4.7 for a 122883 problem size (the largest problem size previously published in turbulence literature). Kiran Ravikumar, David Appelhans, P. K. Yeung |
SC | 2 |
| 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, James A. Kahle, Christopher Zimmer 0001, Scott Atchley, Sarp Oral, Don E. Maxwell, Verónica G. Vergara Larrea, Adam Bertsch, Robin Goldstone, Wayne Joubert, Christopher M. Chambreau, David Appelhans, Robert Blackmore, Ben Casses, George Chochia, Gene Davison, Matthew Ezell, Thomas 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 |
SC | 16 |