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» Scalable computing with parallel tasks
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JDWM
2006
178views more  JDWM 2006»
13 years 9 months ago
Improved Data Partitioning for Building Large ROLAP Data Cubes in Parallel
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining ta...
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andre...
ICPP
2007
IEEE
14 years 3 months ago
Energy-Efficient Scheduling for Parallel Applications Running on Heterogeneous Clusters
High performance clusters have been widely used to provide amazing computing capability for both commercial and scientific applications. However, huge power consumption has preven...
Ziliang Zong, Xiao Qin, Xiaojun Ruan, Kiranmai Bel...
CVPR
2012
IEEE
11 years 11 months ago
Scalable k-NN graph construction for visual descriptors
The k-NN graph has played a central role in increasingly popular data-driven techniques for various learning and vision tasks; yet, finding an efficient and effective way to con...
Jing Wang, Jingdong Wang, Gang Zeng, Zhuowen Tu, R...
SCHOLARPEDIA
2011
13 years 3 days ago
N-body simulations
Abstract. Scientists’ ability to generate and collect massive-scale datasets is increasing. As a result, constraints in data analysis capability rather than limitations in the av...
PDP
2010
IEEE
14 years 2 months ago
Load Balancing Algorithms with Partial Information Management for the DLML Library
Abstract—Load balancing algorithms are an essential component of parallel computing reducing the response time of applications. Frequently, balancing algorithms have a centralize...
Juan Santana-Santana, Miguel A. Castro-Garcí...