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John J. Wedel

dblp:75/1744 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 1987
—ORCID · none

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

Systems, architecture and hardware · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1Applied, interdisciplinary, general and emerging computing · 1

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
Performance modeling and evaluation · 70% Parallel and multicore computing · 30% Storage systems · 0%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Parallel and multicore computing › synchronization
optimistic synchronization
0.011987
Distributed Simulation and the Time Wrap Operating System · SOSP 1987
Performance modeling and evaluation › simulation › discrete-event simulation
parallel discrete event simulation
0.011987
Distributed Simulation and the Time Wrap Operating System · SOSP 1987
Performance modeling and evaluation › simulation › discrete-event simulation › parallel discrete event simulation › optimistic simulation
time warp
0.011987
Distributed Simulation and the Time Wrap Operating System · SOSP 1987
Performance modeling and evaluation › simulation › parallel and distributed simulation
distributed simulation
0.011987
Distributed Simulation and the Time Wrap Operating System · SOSP 1987

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

virtual time synchronization · 0.0data reduction · 0.0
YearPublicationVenuePosition
1987 Distributed Simulation and the Time Wrap Operating System
abstract
This paper describes the Time Warp Operating System, under development for three years at the Jet Propulsion Laboratory for the Caltech Mark III Hypercube multi-processor. Its primary goal is concurrent execution of large, irregular discrete event simulations at maximum speed. It also supports any other distributed applications that are synchronized by virtual time.
David R. Jefferson, Brian Beckman, Frederick Wieland, Leo Blume, Mike Di Loreto, Phil Hontalas, Pierre Laroche, Kathy Sturdevant, Jack Tupman, L. Van Warren, John J. Wedel, Herb Younger, Steve Bellenot
SOSP11
1956 Wind Tunnel Data Reduction Using Paper-Tape Storage Media
abstract
article Free Access Share on Wind Tunnel Data Reduction Using Paper-Tape Storage Media Authors: William R. Hoover Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CaliforniaView Profile , John J. Wedel Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CaliforniaView Profile , Joseph R. Bruman Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CaliforniaView Profile Authors Info & Claims Journal of the ACMVolume 3Issue 2pp 101–109https://doi.org/10.1145/320825.320830Published:01 April 1956Publication History 4citation365DownloadsMetricsTotal Citations4Total Downloads365Last 12 Months10Last 6 weeks2 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
William R. Hoover, John J. Wedel, Joseph R. Bruman
J. ACM2
1956 Automatic Data-Accumulation System for Wind Tunnels
abstract
A new high-speed data-accumulation system has been designed for a supersonic wind tunnel. The data are recorded on punched paper tape for direct input into an Electrodata digital computer. Extensive presentation of data is available to the wind-tunnel operators. All data are typed by an electric typewriter, and an automatic plotting machine plots several of the data words as functions of the independent-variable data word. Special codes to control the computer are automatically punched into the tape. The preliminary source of the data may be either manually operated keyboards or shaft-position digitizers. The new system increases the wind-tunnel pace, eliminates intermediate data handling before computation, and lowers the cost of data reduction.
John J. Wedel, A. Huntington, M. B. Bain
IRE Trans. Electron. Comput.1