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» Feature selection in scientific applications
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2005
ACM
13 years 11 months ago
Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters
Left unchecked, the fundamental drive to increase peak performance using tens of thousands of power hungry components will lead to intolerable operating costs and failure rates. H...
Rong Ge, Xizhou Feng, Kirk W. Cameron
ICSOC
2010
Springer
13 years 3 months ago
BPEL4Pegasus: Combining Business and Scientific Workflows
Business and scientific workflow management systems (WfMS) offer different features to their users because they are developed for different application areas with different require...
Mirko Sonntag, Dimka Karastoyanova, Ewa Deelman
CORR
2010
Springer
117views Education» more  CORR 2010»
13 years 5 months ago
Scientific Workflow Applications on Amazon EC2
The proliferation of commercial cloud computing providers has generated significant interest in the scientific computing community. Much recent research has attempted to determine...
Gideon Juve, Ewa Deelman, Karan Vahi, Gaurang Meht...
PDP
2003
IEEE
13 years 10 months ago
Performance Modeling of Scientific Applications: Scalability Analysis of LAPW0
This paper presents a high-level approach for assessing the performance behavior of complex scientific applications running on a high-performance system through simulation. The pr...
Thomas Fahringer, Nicola Mazzocca, Massimiliano Ra...
CLUSTER
2006
IEEE
13 years 9 months ago
Lightweight I/O for Scientific Applications
Today's high-end massively parallel processing (MPP) machines have thousands to tens of thousands of processors, with next-generation systems planned to have in excess of one...
Ron Oldfield, Lee Ward, Rolf Riesen, Arthur B. Mac...