459 search results - page 12 / 92 » Using Kernel Couplings to Predict Parallel Application Perfo... |
96
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
JPDC
2008
14 years 9 months ago
2008
This paper addresses the problem of porting distributed parallel applications to the Grid. One of the challenges we address is the change from static homogeneous cluster environmen...
88
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IPPS
2007
IEEE
15 years 3 months ago
2007
IEEE
Hardware accelerators are increasingly used to extend the computational capabilities of baseline scalar processors to meet the growing performance and power requirements of embedd...
100
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ISSRE
2010
IEEE
14 years 8 months ago
2010
IEEE
—Coupling in software applications is often used as an indicator of external quality attributes such as fault-proneness. In fact, the correlation of coupling metrics and faults i...
IPPS
1999
IEEE
15 years 1 months ago
1999
IEEE
On many computers, a request to run a job is not serviced immediately but instead is placed in a queue and serviced only when resources are released by preceding jobs. In this pape...