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GCC
2004
Springer
16 years 8 days ago
Applying Grid Technologies to Distributed Data Mining
The Grid promises improvements in the effectiveness with which global businesses are managed, if it enables distributed expertise to be efficiently applied to the analysis of dist...
Alastair C. Hume, Ashley D. Lloyd, Terence M. Sloa...
CLEIEJ
2000
91views more  CLEIEJ 2000»
15 years 6 months ago
Low Cost Cluster Architectures for Parallel and Distributed Processing
Cluster based architectures are standing out in the last years as an alternative for the construction of versatile, low cost parallel machines. This versatility permits their use ...
Giancarlo C. Mai, César A. F. De Rose
EUROSYS
2010
ACM
16 years 1 months ago
XCPU3: Workload Distribution and Aggregation
The mainstream adoption of cluster, grid, and most recently cloud computing models have broadened the applicability of parallel programming from scientific communities to the bus...
Pravin Shinde, Eric Van Hensbergen
VL
2002
IEEE
110views Visual Languages» more  VL 2002»
15 years 11 months ago
Empirical Evidence that Algorithm Animation Promotes Understanding of Distributed Algorithms
Previous studies of program visualization have generally failed to provide convincing support for the benefits of algorithm animation in promoting the understanding of computatio...
Mihail Eduard Tudoreanu, Rong Wu, Ashley Hamilton-...
ICASSP
2011
IEEE
14 years 10 months ago
Distributed training of large scale exponential language models
Shrinkage-based exponential language models, such as the recently introduced Model M, have provided significant gains over a range of tasks [1]. Training such models requires a l...
Abhinav Sethy, Stanley F. Chen, Bhuvana Ramabhadra...