Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Steven Hotovy

dblp:25/523 · DBLP profile ↗
← Back
3ranked-venue papers
3as first author
0since 2021 · last 1996
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 2 first-authorSoftware engineering, systems software and programming languages · 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 · 53% High-performance computing · 16% Parallel and multicore computing · 16%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation
workload characterization
0.011996
Analysis of the Early Workload on the Cornell Theory Center IBM SP2 · SIGMETRICS 1996
Cloud and datacenter computing › job scheduling
batch scheduling
0.011996
Analysis of the Early Workload on the Cornell Theory Center IBM SP2 · SIGMETRICS 1996
Parallel and multicore computing
parallel scheduling
0.011996
Analysis of the Early Workload on the Cornell Theory Center IBM SP2 · SIGMETRICS 1996
High-performance computing › supercomputing
supercomputing systems
0.011996
Analysis of the Early Workload on the Cornell Theory Center IBM SP2 · SIGMETRICS 1996

Methods — techniques the papers use, named apart from their topics

trace analysis · 0.0
YearPublicationVenuePosition
1996 Workload Evolution on the Cornell Theory Center IBM SP2
Steven Hotovy
JSSPP1
1996 Analysis of the Early Workload on the Cornell Theory Center IBM SP2
abstract
Parallel computers have matured to the point where they are capable of running a significant production workload. Characterizing this workload, however, is far more complicated than for the single-processor case. Besides the varying number of processors that may be invoked, the nodes themselves may provide differing computational resources (memory size, for example). In addition, the batch schedulers may introduce further categories of service which must be considered in the analysis.The Cornell Theory Center (CTC) put a 512-node IBM SP2 system into production in early 1995. Extended traces of batch jobs began to be collected in mid-1995 when the usage base became sufficiently large. This paper offers an analysis of this early batch workload.
Steven Hotovy, David J. Schneider 0001, Timothy J. O'Donnell
SIGMETRICS1
1994 Findings of the joint NSF-NASA initiative in evaluation
Steven Hotovy, Wayne Pfeiffer, Thomas L. Sterling
SC1