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» SMDS Measurements and Modeling to Predict Performance
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CGO
2008
IEEE
15 years 4 months ago
Prediction and trace compression of data access addresses through nested loop recognition
This paper describes an algorithm that takes a trace (i.e., a sequence of numbers or vectors of numbers) as input, and from that produces a sequence of loop nests that, when run, ...
Alain Ketterlin, Philippe Clauss
IPSN
2010
Springer
15 years 1 months ago
Practical modeling and prediction of radio coverage of indoor sensor networks
The robust operation of many sensor network applications depends on deploying relays to ensure wireless coverage. Radio mapping aims to predict network coverage based on a small n...
Octav Chipara, Gregory Hackmann, Chenyang Lu, Will...
ICIP
2005
IEEE
15 years 3 months ago
Sequence-level models for distortion-rate behaviour of compressed video
In this paper, two empirical models for the sequence-level distortion-rate performance of predictive video source encoding are proposed. They require very limited amount of empiri...
Ruly Lai-U Choi, Michel T. Ivrlac, Eckehard G. Ste...
PROMISE
2010
14 years 4 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
RTCSA
2007
IEEE
15 years 4 months ago
Modeling Real-time Garbage Collection Cost
Given the major advantages of productivity and safety, the use of garbage collection (GC) in real-time systems has gained increasing attention. Guaranteeing garbage collection act...
Wei Fu, Carl Hauser