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186
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TPDS
2010
154views more  TPDS 2010»
14 years 10 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
130
Voted
CF
2010
ACM
15 years 8 months ago
Variant-based competitive parallel execution of sequential programs
Competitive parallel execution (CPE) is a simple yet attractive technique to improve the performance of sequential programs on multi-core and multi-processor systems. A sequential...
Oliver Trachsel, Thomas R. Gross
145
Voted
CCO
2001
Springer
161views Combinatorics» more  CCO 2001»
15 years 8 months ago
Branch, Cut, and Price: Sequential and Parallel
Branch, cut, and price (BCP) is an LP-based branch and bound technique for solving large-scale discrete optimization problems (DOPs). In BCP, both cuts and variables can be generat...
Laszlo Ladányi, Ted K. Ralphs, Leslie E. Tr...
119
Voted
IAT
2006
IEEE
15 years 9 months ago
Semantic Grid Services for Video Analysis
Employing the power of Semantic Grid services into pervasive problem domains such as video analysis would allow for more effective distributed processing. A vast amount of ecologi...
Gayathri Nadarajan, Yun-Heh Chen-Burger, James Mal...
132
Voted
JAIR
2011
144views more  JAIR 2011»
14 years 10 months ago
Non-Deterministic Policies in Markovian Decision Processes
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
Mahdi Milani Fard, Joelle Pineau