Demo Data from EDBT 2026 / reviewers in the wild / expert
Howard Scott
dblp:34/9619
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 1
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
1 paper |
High-performance computing · 61% Parallel and multicore computing · 30% Performance modeling and evaluation · 9% |
Topics — the 3 heaviest of 4, 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 |
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 |
Performance modeling and evaluation
benchmarking |
0.1 | 1 | 2019 | Preparation and optimization of a diverse workload for a large-scale heterogeneous system · SC 2019 |
| 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 | 65 |
| 2008 | The Orfeus Project (Optimised Radar for Finding Every Utility in the Street)abstractThe ORFEUS (Optimised Radar for Finding Every Utility in the Street) project addresses the requirement for advanced technologies for locating, maintaining and rehabilitating buried infrastructures and, in particular, it fulfils the requirement for locating buried assets, including the use of trenchless techniques for deploying pipes and cables in an urban environment. The aim of this project is to develop two radars. The first operates on the surface for planning deployment activities; the second (a bore-head GPR) will be installed in the drilling head of horizontal directional drilling (HDD) equipment so that they may avoid collision and possible damage to existing cables and other infrastructure. Massimiliano Pieraccini, Filippo Parrini, Gaetano de Pasquale, Howard Scott |
IGARSS (2) | 4 |