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Cluster Computing and the Grid, IEEE International Symposium on (2009)
Shanghai, China
May 18, 2009 to May 21, 2009
ISBN: 978-0-7695-3622-4
pp: 308-315
ABSTRACT
The deluge of available data for analysis demands the need to scale the performance of data mining implementations. With the current architectural trends, one of the major challenges today is achieving programmability and performance for data mining applications on multi-core machines and cluster of multi-core machines. To address this problem, we have been developing a runtime framework, FREERIDE, that enables
INDEX TERMS
Data-intensive computing, Multi-Core Architectures, Middleware
CITATION

V. T. Ravi and G. Agrawal, "Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster," Cluster Computing and the Grid, IEEE International Symposium on(CCGRID), Shanghai, China, 2009, pp. 308-315.
doi:10.1109/CCGRID.2009.83
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