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Jean-Pierre Goux

dblp:28/280 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2008
—ORCID · none

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

Systems, architecture and hardware · 1 · 1 first-authorTheory of computation · 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
Distributed systems · 56% Parallel and multicore computing · 28% High-performance computing · 8%

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

TopicWeightPapersLastEvidence papers
Distributed systems
grid computing
0.012000
An Enabling Framework for Master-Worker Applications on the Computational Grid · HPDC 2000
Distributed systems › distributed scheduling
master-worker paradigm
0.012000
An Enabling Framework for Master-Worker Applications on the Computational Grid · HPDC 2000
Parallel and multicore computing
parallel programming models
0.012000
An Enabling Framework for Master-Worker Applications on the Computational Grid · HPDC 2000
Emerging computing paradigms
combinatorial optimization
0.012000
An Enabling Framework for Master-Worker Applications on the Computational Grid · HPDC 2000
High-performance computing
scientific computing systems
0.012000
An Enabling Framework for Master-Worker Applications on the Computational Grid · HPDC 2000
YearPublicationVenuePosition
2008 Kestrel: An Interface from Optimization Modeling Systems to the NEOS Server
abstract
The NEOS server provides access to a variety of optimization resources via the Internet. The new Kestrel interface to the server enables local modeling environments to request NEOS optimization services and retrieve the results for local visualization and analysis so that users have the same convenient access to remote NEOS solvers as to those installed locally. Kestrel agents have been implemented for the AMPL and GAMS modeling environments; these agents have been designed so that subproblems can be queued for execution and later retrieval of results, making possible a rudimentary form of parallel processing.
Elizabeth D. Dolan, Robert Fourer, Jean-Pierre Goux, Todd S. Munson, Jason Sarich
INFORMS J. Comput.3
2000 An Enabling Framework for Master-Worker Applications on the Computational Grid
abstract
Describes MW (Master-Worker) - a software framework that allows users to quickly and easily parallelize scientific computations using the master-worker paradigm on the Computational Grid. MW provides both a "top-level" interface to application software and a "bottom-level" interface to existing Grid computing toolkits. Both interfaces are briefly described. We conclude with a case study, where the necessary Grid services are provided by the Condor high-throughput computing system, and the MW-enabled application code is used to solve a combinatorial optimization problem of unprecedented complexity.
Jean-Pierre Goux, Sanjeev R. Kulkarni, Jeff T. Linderoth, Michael Yoder 0003
HPDC1