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,...
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...
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...
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 ...
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 ...