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ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
16 years 1 days ago
Localized Prediction of Continuous Target Variables Using Hierarchical Clustering
In this paper, we propose a novel technique for the efficient prediction of multiple continuous target variables from high-dimensional and heterogeneous data sets using a hierarch...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
IEEEPACT
2000
IEEE
15 years 11 months ago
Address Partitioning in DSM Clusters with Parallel Coherence Controllers
Recent research suggests that DSM clusters can benefit from parallel coherence controllers. Parallel controllers require address partitioning and synchronization to avoid handlin...
Ilanthiraiyan Pragaspathy, Babak Falsafi
IPPS
2000
IEEE
15 years 11 months ago
Image Layer Decomposition for Distributed Real-Time Rendering on Clusters
We propose a novel work partitioning technique, Image Layer Decomposition (ILD), designed specifically to support distributed real-time rendering on commodity clusters. ILD has s...
Thu D. Nguyen, John Zahorjan
EUROPAR
2009
Springer
15 years 10 months ago
Dynamic Virtual Cluster Reconfiguration for Efficient IaaS Provisioning
Abstract. Cloud computing is an emerging paradigm to provide Infrastructure as a Service (IaaS). In this paper we present NEPTUNE-IaaS, a software system able to support the whole ...
Vittorio Manetti, Pasquale Di Gennaro, Roberto Bif...
EUROPAR
2004
Springer
15 years 10 months ago
Efficient Parallel Hierarchical Clustering
Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a dendrogram showing all N levels of agglomerations where N is the number of objects in the d...
Manoranjan Dash, Simona Petrutiu, Peter Scheuerman...