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IPPS
2007
IEEE
15 years 6 months ago
A Model-Driven Approach to Job/Task Composition in Cluster Computing
In the general area of high-performance computing, object-oriented methods have gone largely unnoticed. In contrast, the Computational Neighborhood (CN), a framework for parallel ...
Neeraj Mehta, Yogesh Kanitkar, Konstantin Läu...
CLUSTER
2009
IEEE
15 years 6 months ago
Investigating the use of GPU-accelerated nodes for SAR image formation
The computation of an electromagnetic reflectivity image from a set of radar returns is a computationally intensive process. Therefore, the use of high performance computing is r...
Timothy D. R. Hartley, Ahmed Fasih, Charles A. Ber...
SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
15 years 9 months ago
Bayesian Cluster Ensembles.
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
Hongjun Wang, Hanhuai Shan, Arindam Banerjee
DAWAK
2007
Springer
15 years 6 months ago
MOSAIC: A Proximity Graph Approach for Agglomerative Clustering
Representative-based clustering algorithms are quite popular due to their relative high speed and because of their sound theoretical foundation. On the other hand, the clusters the...
Jiyeon Choo, Rachsuda Jiamthapthaksin, Chun-Sheng ...
IEEEARES
2007
IEEE
15 years 6 months ago
Secure, Resilient Computing Clusters: Self-Cleansing Intrusion Tolerance with Hardware Enforced Security (SCIT/HES)
The formidable difficulty in securing systems stems in large part from the increasing complexity of the systems we build but also the degree to which we now depend on information ...
David Arsenault, Arun Sood, Yih Huang