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» Scalable Density-Based Distributed Clustering
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AI
2010
Springer
14 years 12 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
ICPP
2008
IEEE
15 years 6 months ago
Mapping Algorithms for Multiprocessor Tasks on Multi-Core Clusters
In this paper, we explore the use of hierarchically structured multiprocessor tasks (M-tasks) for programming multi-core cluster systems. These systems often have hierarchically s...
Jörg Dümmler, Thomas Rauber, Gudula R&uu...
IPPS
1996
IEEE
15 years 4 months ago
Benefits of Processor Clustering in Designing Large Parallel Systems: When and How?
Advances in multiprocessor interconnect technologyare leading to high performance networks. However, software overheadsassociated with message passing are limiting the processors ...
Debashis Basak, Dhabaleswar K. Panda, Mohammad Ban...
SC
2009
ACM
15 years 6 months ago
Highly scalable genome assembly on campus grids
Bioinformatics researchers need efficient means to process large collections of sequence data. One application of interest, genome assembly, has great potential for parallelizati...
Christopher Moretti, Michael Olson, Scott J. Emric...
JSSPP
2009
Springer
15 years 6 months ago
Scalability Analysis of Job Scheduling Using Virtual Nodes
It is important to identify scalability constraints in existing job scheduling software as they are applied to next generation parallel systems. In this paper, we analyze the scala...
Norman Bobroff, Richard Coppinger, Liana Fong, See...