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Weiming Gu

dblp:48/1367 · DBLP profile ↗
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3ranked-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 · 2 · 1 first-authorHuman-computer interaction and ubiquitous 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
1 paper
High-performance computing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing › scientific computing systems
molecular dynamics simulation		 0.011994
Falcon - Toward Interactive Parallel Programs: The On-line Steering of a Molecular Dynamics Application · HPDC 1994
High-performance computing › system monitoring
online monitoring		 0.011994
Falcon - Toward Interactive Parallel Programs: The On-line Steering of a Molecular Dynamics Application · HPDC 1994

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

performance monitoring · 0.0online steering · 0.0
YearPublicationVenuePosition
1998 Falcon: On-line monitoring for steering parallel programs
abstract
Advances in high performance computing, communications and user interfaces enable developers to construct increasingly interactive high performance applications. The Falcon system presented in this paper supports such interactivity by providing runtime libraries, tools and user interfaces that permit the on-line monitoring and steering of large-scale parallel codes. The principal aspects of Falcon described in this paper are its abstractions and tools for capture and analysis of application-specific program information, performed on-line, with controlled latencies and scalable to parallel machines of substantial size. In addition, Falcon provides support for the on-line graphical display of monitoring information, and it allows programs to be steered during their execution, by human users or algorithmically. This paper presents our basic research motivation, outlines the Falcon system's functionality, and includes a detailed evaluation of its performance characteristics in light of its principal contributions. Falcon's functionality and performance evaluation are driven by our experiences with large-scale parallel applications being developed with end users in physics and in atmospheric sciences. The sample application highlighted in this paper is a molecular dynamics simulation program (MD) used by physicists to study the statistical mechanics of liquids. © 1998 John Wiley & Sons, Ltd.
Weiming Gu, Greg Eisenhauer, Karsten Schwan, Jeffrey S. Vetter
 Concurr. Pract. Exp.1
1995 An Integrated Approach for Steering, Visualization, and Analysis of Atmospheric Simulations
Yves Jean, Thomas Kindler, William Ribarsky, Weiming Gu, Greg Eisenhauer, Karsten Schwan, Fred Alyea
 IEEE Visualization4
1994 Falcon - Toward Interactive Parallel Programs: The On-line Steering of a Molecular Dynamics Application
abstract
The paper focuses on the opportunities and costs of online steering as applied to a substantial parallel application. We demonstrate potential performance improvements through the use of the Falcon system, an experimental system for the online monitoring and steering of parallel programs. The visual presentation of program output along with animated displays of program performance information via Falcon's monitoring system enables the online capture, analysis, and display of program information required for program steering. Falcon also provides the mechanisms for the manipulations of program state that accomplish this online steering.>
Greg Eisenhauer, Karsten Schwan, Weiming Gu, Niru Mallavarupu
 HPDC3