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CCGRID
2008
IEEE
14 years 3 months ago
GridBatch: Cloud Computing for Large-Scale Data-Intensive Batch Applications
To be competitive, Enterprises are collecting and analyzing increasingly large amount of data in order to derive business insights. However, there are at least two challenges to m...
Huan Liu, Dan Orban
IPPS
2006
IEEE
14 years 2 months ago
Loosely-coupled loop scheduling in computational grids
Loop distribution is one of the most useful techniques to reduce the execution time of parallel applications. Traditionally, loop scheduling algorithms are implemented based on pa...
Jose Herrera, Eduardo Huedo, Rubén S. Monte...
ICCS
2005
Springer
14 years 2 months ago
Generating Parallel Algorithms for Cluster and Grid Computing
We revisit and use the dependence transformation method to generate parallel algorithms suitable for cluster and grid computing. We illustrate this method in two applications: to o...
Ulisses Kendi Hayashida, Kunio Okuda, Jairo Panett...
ICIP
2003
IEEE
14 years 10 months ago
Non-linear 3D rendering workload prediction based on a combined fuzzy-neural network architecture for grid computing application
Although, computational Grid has been initially developed to solve large-scale scientific research problems, it is extended for commercial and industrial applications. An interest...
John K. Doulamis, Anastasios D. Doulamis
IMSCCS
2007
IEEE
14 years 3 months ago
TOPSAW Sawing Optimization Analysis Using Grid Computing
TOPSAW program was developed by Dr. S. Chang and his team and has been successfully used in the replication of sawmill cutting to determine the optimal cutting pattern for a log t...
Ashwin Bommathanahalli, Maoyuan Xie, Zhifeng Yun, ...