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Barbara K. Pasquale

dblp:90/3552 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
High-performance computing
i/o characterization
0.021994
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
0.021994
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
YearPublicationVenuePosition
1994 Dynamic I/O characterization of I/O intensive scientific applications
abstract
Understanding 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
SC1
1993 A static analysis of I/O characteristics of scientific applications in a production workload
abstract
Past 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
SC1