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ISVC
2009
Springer
14 years 3 months ago
Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster
In this paper, we propose an inherent parallel scheme for 3D image segmentation of large volume data on a GPU cluster. This method originates from an extended Lattice Boltzmann Mod...
Aaron Hagan, Ye Zhao
USENIX
2008
13 years 11 months ago
A Comparative Experimental Study of Parallel File Systems for Large-Scale Data Processing
Large-scale scientific and business applications require data processing of ever-increasing amounts of data, fueling a demand for scalable parallel file systems comprising hundred...
Zoe Sebepou, Kostas Magoutis, Manolis Marazakis, A...
EUROPAR
1999
Springer
14 years 1 months ago
Parallel k/h-Means Clustering for Large Data Sets
This paper describes the realization of a parallel version of the k/h-means clustering algorithm. This is one of the basic algorithms used in a wide range of data mining tasks. We ...
Kilian Stoffel, Abdelkader Belkoniene
ICPP
1994
IEEE
14 years 1 months ago
Data-Parallel Spatial Join Algorithms
E cient data-parallel spatial join algorithms for pmr quadtrees and R-trees, common spatial data structures, are presented. The domain consists of planar line segment data i.e., Bu...
Erik G. Hoel, Hanan Samet
CCGRID
2009
IEEE
14 years 3 months ago
Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster
The deluge of available data for analysis demands the need to scale the performance of data mining implementations. With the current architectural trends, one of the major challen...
Vignesh T. Ravi, Gagan Agrawal