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» On Advantages of Grid Computing for Parallel Job Scheduling
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JSSPP
2004
Springer
14 years 2 months ago
LOMARC - Lookahead Matchmaking for Multi-resource Coscheduling
Job scheduling typically focuses on the CPU with little work existing to include I/O or memory. Time-shared execution provides the chance to hide I/O and long-communication latenc...
Angela C. Sodan, Lei Lan
ICPP
2003
IEEE
14 years 2 months ago
Scheduling Algorithms with Bus Bandwidth Considerations for SMPs
The bus that connects processors to memory is known to be a major architectural bottleneck in SMPs. However, both software and scheduling policies for these systems generally focu...
Christos D. Antonopoulos, Dimitrios S. Nikolopoulo...
HCW
2000
IEEE
14 years 1 months ago
Combining Workstations and Supercomputers to Support Grid Applications: The Parallel Tomography Experience
Computational Grids are becoming an increasingly important and powerful platform for the execution of largescale, resource-intensive applications. However, it remains a challenge ...
Shava Smallen, Walfredo Cirne, Jaime Frey, Francin...
IPPS
2006
IEEE
14 years 3 months ago
SmartNetSolve: high-level programming system for high performance grid computing
The paper presents SmartNetSolve, an extension of NetSolve, the programming system for high performance Grid computing. The extension is aimed at higher performance of Grid applic...
Thomas Brady, E. Konstantinov, Alexey L. Lastovets...
ESCIENCE
2005
IEEE
14 years 2 months ago
The Supplier Model for Legacy Applications in a Grid
The use of web services as the basis for grid middleware has allowed scientists to wrap legacy applications as services in order to provide their capabilities to grid users. Howev...
Jonathan Giddy, Ian J. Grimstead, Jason Jones