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HPDC
1998
IEEE
14 years 1 months ago
High-Speed, Wide Area, Data Intensive Computing: A Ten Year Retrospective
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing largescale computation. The...
William E. Johnston
IPPS
2000
IEEE
14 years 1 months ago
ACDS: Adapting Computational Data Streams for High Performance
Data-intensive, interactive applications are an important class of metacomputing (Grid) applications. They are characterized by large, time-varying data flows between data provid...
Carsten Isert, Karsten Schwan
EUROPAR
1999
Springer
14 years 1 months ago
Parallel k/h-Means Clustering for Large Data Sets
This paper describes the realization of a parallel version of the k/h-means clustering algorithm. This is one of the basic algorithms used in a wide range of data mining tasks. We ...
Kilian Stoffel, Abdelkader Belkoniene
SAINT
2007
IEEE
14 years 3 months ago
Data Management on Grid Filesystem for Data-Intensive Computing
In parallel computing environments such as HPC clusters and the Grid, data-intensive applications involve large overhead costs due to a concentration of access to the files on co...
Hitoshi Sato, Satoshi Matsuoka
ICPP
1998
IEEE
14 years 1 months ago
MPEG-4 Based Interactive Video using Parallel Processing
MPEG-4 which is currently being developed by MPEG (Moving Pictures Experts Group), is poised to become a standard for supporting current and emerging interactive multimedia applic...
Yong He, Ishfaq Ahmad, Ming L. Liou