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» Cluster Computing: A High-Performance Contender
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SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
14 years 4 months ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...
BMCBI
2004
150views more  BMCBI 2004»
13 years 10 months ago
SS-Wrapper: a package of wrapper applications for similarity searches on Linux clusters
Background: Large-scale sequence comparison is a powerful tool for biological inference in modern molecular biology. Comparing new sequences to those in annotated databases is a u...
Chunlin Wang, Elliot J. Lefkowitz
SC
2009
ACM
14 years 5 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...
OOPSLA
1999
Springer
14 years 3 months ago
Object Views: Language Support for Intelligent Object Caching in Parallel and Distributed Computations
Object-based parallel and distributed applications are becoming increasingly popular, driven by the programmability advantages of component technology and a flat shared-object spa...
Ilya Lipkind, Igor Pechtchanski, Vijay Karamcheti
CLUSTER
2003
IEEE
14 years 4 months ago
Coordinated Checkpoint versus Message Log for Fault Tolerant MPI
— Large Clusters, high availability clusters and Grid deployments often suffer from network, node or operating system faults and thus require the use of fault tolerant programmin...
Aurelien Bouteiller, Pierre Lemarinier, Gér...