VLDB 2026 Research / reviewers in the wild / expert
Rob Neely
dblp:05/46
· 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 · 2
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
2 papers |
High-performance computing · 57% Parallel and multicore computing · 34% Performance modeling and evaluation · 8% | |
| Software engineering, system software, and programming languages
1 paper |
Operating systems · 100% |
Topics — the 6 heaviest of 7, 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 |
Operating systems › resource management › process management › CPU scheduling
kernel scheduling |
0.0 | 1 | 2003 | Improving the Scalability of Parallel Jobs by adding Parallel Awareness to the Operating System · SC 2003 |
Parallel and multicore computing › parallel scheduling
coscheduling |
0.0 | 1 | 2003 | Improving the Scalability of Parallel Jobs by adding Parallel Awareness to the Operating System · SC 2003 |
Parallel and multicore computing
parallel scheduling |
0.0 | 1 | 2003 | Improving the Scalability of Parallel Jobs by adding Parallel Awareness to the Operating System · SC 2003 |
Methods — techniques the papers use, named apart from their topics
kernel modification · 0.1co-scheduling · 0.1
| 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 | 54 |
| 2003 | Improving the Scalability of Parallel Jobs by adding Parallel Awareness to the Operating SystemabstractA parallel application benefits from scheduling policies that include a global perspective of the application's process working set. As the interactions among cooperating processes increase, mechanisms to ameliorate waiting within one or more of the processes become more important. In particular, collective operations such as barriers and reductions are extremely sensitive to even usually harmless events such as context switches among members of the process working set. For the last 18 months, we have been researching the impact of random short-lived interruptions such as timer-decrement processing and periodic daemon activity, and developing strategies to minimize their impact on large processor-count SPMD bulk-synchronous programming styles. We present a novel co-scheduling scheme for improving performance of fine-grain collective activities such as barriers and reductions, describe an implementation consisting of operating system kernel modifications and run-time system, and present a set of empirical results comparing the technique with traditional operating system scheduling. Our results indicate a speedup of over 300% on synchronizing collectives. Terry R. Jones, Shawn Dawson, Rob Neely, William G. Tuel Jr., Larry Brenner, Jeffrey Fier, Robert Blackmore, Patrick Caffrey, Brian Maskell, Paul Tomlinson, Mark Roberts |
SC | 3 |