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USENIX
2008
13 years 10 months ago
A Comparative Experimental Study of Parallel File Systems for Large-Scale Data Processing
Large-scale scientific and business applications require data processing of ever-increasing amounts of data, fueling a demand for scalable parallel file systems comprising hundred...
Zoe Sebepou, Kostas Magoutis, Manolis Marazakis, A...
CORR
2006
Springer
110views Education» more  CORR 2006»
13 years 7 months ago
Methods for Partitioning Data to Improve Parallel Execution Time for Sorting on Heterogeneous Clusters
The aim of the paper is to introduce general techniques in order to optimize the parallel execution time of sorting on a distributed architectures with processors of various speeds...
Christophe Cérin, Jean-Christophe Dubacq, J...
ICANN
2011
Springer
12 years 11 months ago
Hybrid Parallel Classifiers for Semantic Subspace Learning
Subspace learning is very important in today's world of information overload. Distinguishing between categories within a subset of a large data repository such as the web and ...
Nandita Tripathi, Michael P. Oakes, Stefan Wermter
ISCA
1997
IEEE
96views Hardware» more  ISCA 1997»
13 years 12 months ago
DataScalar Architectures
DataScalar architectures improve memory system performance by running computation redundantly across multiple processors, which are each tightly coupled with an associated memory....
Doug Burger, Stefanos Kaxiras, James R. Goodman
CLUSTER
2007
IEEE
13 years 7 months ago
Combining data sharing with the master-worker paradigm in the common component architecture
Abstract— Software component technologies are being accepted as an adequate solution for handling the complexity of applications. However, existing software component models tend...
Gabriel Antoniu, Hinde-Lilia Bouziane, Mathieu Jan...