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» Massively parallel computing using commodity components
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IPPS
2000
IEEE
14 years 1 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
14 years 2 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
14 years 3 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
ESCIENCE
2005
IEEE
14 years 2 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
14 years 2 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...