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» Perspectives on grid computing
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PC
2008
119views Management» more  PC 2008»
15 years 6 months ago
GREMLINS: a large sparse linear solver for grid environment
Traditional large sparse linear solvers are not suited in a grid computing environment as they require a large amount of synchronization and communication penalizing the performan...
Raphaël Couturier, Christophe Denis, Fabienne...
CLUSTER
2002
IEEE
15 years 6 months ago
File and Object Replication in Data Grids
Data replication is a key issue in a Data Grid and can be managed in different ways and at different levels of granularity: for example, at the file level or object level. In the ...
Heinz Stockinger, Asad Samar, Koen Holtman, Willia...
FGCS
2007
78views more  FGCS 2007»
15 years 6 months ago
Promoting performance and separation of concerns for data mining applications on the grid
Grid Computing brought the promise of making high-performance computing cheaper and more easily available than traditional supercomputing platforms. Such a promise was very well r...
Vasco Furtado, Francisco Flávio de Souza, W...
GRID
2008
Springer
15 years 6 months ago
A Secure Grid Medical Data Manager Interfaced to the gLite Middleware
The medical community is producing and manipulating a tremendous volume of digital data for which computerized archiving, processing and analysis is needed. Grid infrastructures ar...
Johan Montagnat, Ákos Frohner, Daniel Jouve...
DAC
2011
ACM
14 years 6 months ago
Efficient incremental analysis of on-chip power grid via sparse approximation
In this paper, a new sparse approximation technique is proposed for incremental power grid analysis. Our proposed method is motivated by the observation that when a power grid net...
Pei Sun, Xin Li, Ming Yuan Ting