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PPOPP
2005
ACM
13 years 10 months ago
A novel approach for partitioning iteration spaces with variable densities
Efficient partitioning of parallel loops plays a critical role in high performance and efficient use of multiprocessor systems. Although a significant amount of work has been don...
Arun Kejariwal, Alexandru Nicolau, Utpal Banerjee,...
CORR
2011
Springer
175views Education» more  CORR 2011»
12 years 11 months ago
A Novel Probabilistic Pruning Approach to Speed Up Similarity Queries in Uncertain Databases
Abstract— In this paper, we propose a novel, effective and efficient probabilistic pruning criterion for probabilistic similarity queries on uncertain data. Our approach support...
Thomas Bernecker, Tobias Emrich, Hans-Peter Kriege...
BMCBI
2011
12 years 11 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
DATE
2004
IEEE
114views Hardware» more  DATE 2004»
13 years 8 months ago
Power Aware Variable Partitioning and Instruction Scheduling for Multiple Memory Banks
Many high-end DSP processors employ both multiple memory banks and heterogeneous register files to improve performance and power consumption. The complexity of such architectures ...
Zhong Wang, Xiaobo Sharon Hu
BIOINFORMATICS
2010
84views more  BIOINFORMATICS 2010»
13 years 4 months ago
partDSA: deletion/substitution/addition algorithm for partitioning the covariate space in prediction
The partDSA package (Molinaro, Lostritto, and Weston 2009) provides a novel recursive partitioning tool for prediction when numerous variables jointly affect the outcome. In such ...
Annette M. Molinaro, Karen Lostritto, Mark J. van ...