Demo Data from VLDB 2026 / reviewers in the wild / expert
Robert J. Bergeron
dblp:116/7048
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1998
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author
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 |
Performance modeling and evaluation · 87% High-performance computing · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Performance modeling and evaluation › performance monitoring
hardware performance monitoring |
0.0 | 1 | 1998 | Measurement of a Scientific Workload using the IBM Hardware Performance Monitor · SC 1998 |
Performance modeling and evaluation
workload characterization |
0.0 | 1 | 1998 | Measurement of a Scientific Workload using the IBM Hardware Performance Monitor · SC 1998 |
High-performance computing › scientific computing
scientific workload |
0.0 | 1 | 1998 | Measurement of a Scientific Workload using the IBM Hardware Performance Monitor · SC 1998 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Measurement of a Scientific Workload using the IBM Hardware Performance MonitorabstractThis paper presents data on the performance of the NAS SP2 IBM system using RS6000 hardware monitors and a performance measurement tool. The data collected showed that the SP2 averages about 1.3 Gflops, about 3% of peak. The report provides the relative usage for the various hardware units over the entire workload measured over a 9-month period. The workload displays moderate parallelism, with the most popular choice of nodes as 16. Although the monitor data provide a good snapshot of workload performance, causal correlations regarding key performance indicators appear difficult to draw from the current data due to the absence of I/O delay measurements. Robert J. Bergeron |
SC | 1 |