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» Massively parallel computing using commodity components
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IPPS
2000
IEEE
15 years 9 months ago
PaDDMAS: Parallel and Distributed Data Mining Application Suite
Discovering complex associations, anomalies and patterns in distributed data sets is gaining popularity in a range of scientific, medical and business applications. Various algor...
Omer F. Rana, David W. Walker, Maozhen Li, Steven ...
GRID
2004
Springer
15 years 10 months ago
Checkpoint and Restart for Distributed Components in XCAT3
With the advent of Grid computing, more and more highend computational resources become available for use to a scientist. While this opens up new avenues for scientific research,...
Sriram Krishnan, Dennis Gannon
ISPAN
2009
IEEE
15 years 11 months ago
High-Performance Cloud Computing: A View of Scientific Applications
— Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by ...
Christian Vecchiola, Suraj Pandey, Rajkumar Buyya
121
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ESCIENCE
2005
IEEE
15 years 10 months ago
The SegHidro Experience: Using the Grid to Empower a Hydro-Meteorological Scientific Network
This paper describes our experience with SegHidro, a project that empowers hydro-meteorological researchers by (i) enabling collaborative work via the coupling of computer models,...
Eliane Araújo, Walfredo Cirne, Gustavo Wagn...
LCN
2003
IEEE
15 years 9 months ago
Using a Gigabit Ethernet Cluster as a Distributed Disk Array with Multiple Fault Tolerance
A cluster of PCs can be seen as a collection of networked low cost disks; such a collection can be operated by proper so as to provide the abstraction of a single, larger block de...
Alessandro Di Marco, Giovanni Chiola, Giuseppe Cia...