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» Distributed Data Clustering Can Be Efficient and Exact
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JSA
2000
115views more  JSA 2000»
13 years 8 months ago
Scheduling optimization through iterative refinement
Scheduling DAGs with communication times is the theoretical basis for achieving efficient parallelism on distributed memory systems. We generalize Graham's task-level in a ma...
Mayez A. Al-Mouhamed, Adel Al-Massarani
MICCAI
2006
Springer
14 years 10 months ago
The Entire Regularization Path for the Support Vector Domain Description
Abstract. The support vector domain description is a one-class classification method that estimates the shape and extent of the distribution of a data set. This separates the data ...
Karl Sjöstrand, Rasmus Larsen
SC
2009
ACM
14 years 3 months ago
Exploring many task computing in scientific workflows
One of the main advantages of using a scientific workflow management system (SWfMS) to orchestrate data flows among scientific activities is to control and register the whole work...
Eduardo S. Ogasawara, Daniel de Oliveira, Fernando...
BMCBI
2010
160views more  BMCBI 2010»
13 years 4 months ago
eHive: An Artificial Intelligence workflow system for genomic analysis
Background: The Ensembl project produces updates to its comparative genomics resources with each of its several releases per year. During each release cycle approximately two week...
Jessica Severin, Kathryn Beal, Albert J. Vilella, ...
HPCA
2008
IEEE
14 years 9 months ago
Supporting highly-decoupled thread-level redundancy for parallel programs
The continued scaling of device dimensions and the operating voltage reduces the critical charge and thus natural noise tolerance level of transistors. As a result, circuits can p...
M. Wasiur Rashid, Michael C. Huang