Demo Data from EDBT 2026 / reviewers in the wild / expert
Barbara K. Pasquale
dblp:90/3552
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 2 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
2 papers |
High-performance computing · 77% Performance modeling and evaluation · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
High-performance computing
i/o characterization |
0.0 | 2 | 1994 | Dynamic I/O characterization of I/O intensive scientific applications · SC 1994 A static analysis of I/O characteristics of scientific applications in a production workload · SC 1993 |
Performance modeling and evaluation
workload characterization |
0.0 | 2 | 1994 | Dynamic I/O characterization of I/O intensive scientific applications · SC 1994 A static analysis of I/O characteristics of scientific applications in a production workload · SC 1993 |
Methods — techniques the papers use, named apart from their topics
trace analysis · 0.0static analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | Dynamic I/O characterization of I/O intensive scientific applicationsabstractUnderstanding the characteristic I/O behavior of scientific applications is an integral part of the research and development efforts for the improvement of high performance I/O systems. This study focuses on application level I/O behavior with respect to both static and dynamic characteristics. We observed the San Diego Supercomputer Center's Cray C90 workload and isolated the most I/O intensive applications. The combination of a low-level description of physical resource usage and the high-level functional composition of applications and scientific disciplines for this set reveals the major sources of I/O demand in the workload. We selected two applications from the I/O intensive set and performed a detailed analysis of their dynamic I/O behavior. These applications exhibited a high degree of regularity in their I/O activity over time and their characteristic I/O behaviors can be precisely described by one and two, respectively, recurring sequences of data accesses and computation periods.> Barbara K. Pasquale, George C. Polyzos |
SC | 1 |
| 1993 | A static analysis of I/O characteristics of scientific applications in a production workloadabstractPast research on high performance computers for scientific applications has concentrated on CPU speed and exploitation of parallelism, but has, until very recently, neglected 1/0 considerations.This paper presents a study of the production workload at the San Diego Supercomputer Centerfrom an 110 requirements and characteristics perspective.Results of our analyses support our hypothesis that a significant proportion of 110 intensive, long running, frequently executed scientific applications have predictable 110 requirements.Pemnission to copy Wbcut fee all or pm of this material is granted, provided that th copes am nci made or distributed for &red commercial advantage, the ACM copyright mice and the title of the Wblication and its date appear, and notice is given that ccpying is by penmsmon of the Association for Cbm@ng Mec+mte~.To copy othemvise, or to repubhsh, reqlires a fee andlar specWc psrtnission. Barbara K. Pasquale, George C. Polyzos |
SC | 1 |