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Michael Yoder 0003

dblp:20/3744-3 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

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

Systems, architecture and hardware · 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
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
 HPDC4