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PDCAT
2007
Springer
16 years 24 days ago
Exploratory Day-Scale Behavior Assumption-Based User Clustering with the Mobile Clickstream
The mobile Internet enables 24-hour always-on computing with increased demands on time-based analysis. From an assumption that the mobile users are split into three different clus...
Toshihiko Yamakami
CLUSTER
2009
IEEE
16 years 1 months ago
Scalable I/O forwarding framework for high-performance computing systems
—Current leadership-class machines suffer from a significant imbalance between their computational power and their I/O bandwidth. While Moore’s law ensures that the computatio...
Nawab Ali, Philip H. Carns, Kamil Iskra, Dries Kim...
CVPR
2008
IEEE
16 years 8 months ago
Incremental learning of nonparametric Bayesian mixture models
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
Ryan Gomes, Max Welling, Pietro Perona
CLUSTER
2009
IEEE
16 years 1 months ago
Message passing for GPGPU clusters: CudaMPI
—We present and analyze two new communication libraries, cudaMPI and glMPI, that provide an MPI-like message passing interface to communicate data stored on the graphics cards of...
Orion S. Lawlor
ISVC
2009
Springer
16 years 1 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