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COMPUTING
2006
119views more  COMPUTING 2006»
15 years 7 months ago
Sparse Grids, Adaptivity, and Symmetry
Sparse grid methods represent a powerful and efficient technique for the representation and approximation of functions and particularly the solutions of partial differential equat...
Harry Yserentant
ICPADS
2006
IEEE
16 years 1 months ago
Policy-Directed Data Movement in Grids
One of the guiding principles of the Grid is local (site) autonomy. Resource owners maintain control over their resources even when those resources are part of a larger Grid. In o...
Jun Feng, Lingling Cui, Glenn S. Wasson, Marty Hum...
TPDS
2010
154views more  TPDS 2010»
15 years 2 months ago
Adaptive Workload Prediction of Grid Performance in Confidence Windows
Predicting grid performance is a complex task because heterogeneous resource nodes are involved in a distributed environment. Long execution workload on a grid is even harder to pr...
Yongwei Wu, Kai Hwang, Yulai Yuan, Weimin Zheng
HPCC
2007
Springer
15 years 11 months ago
Multiobjective Differential Evolution for Mapping in a Grid Environment
Effective and efficient mapping algorithms for multisite parallel applications are fundamental to exploit the potentials of grid computing. Since the problem of optimally mapping i...
Ivanoe De Falco, Antonio Della Cioppa, Umberto Sca...
JVA
2006
IEEE
16 years 1 months ago
Dependability in Hybrid Grid Systems: A Virtual Clusters Approach
With the rapid evolution of mobile and ubiquitous computing, small-scale devices like personal digital assistants, smart "converged" phones and laptops now dominate the ...
Stavros Isaiadis, Vladimir Getov