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PVM
2009
Springer
15 years 4 months ago
Optimizing MPI Runtime Parameter Settings by Using Machine Learning
Abstract. Manually tuning MPI runtime parameters is a practice commonly employed to optimise MPI application performance on a specific architecture. However, the best setting for ...
Simone Pellegrini, Jie Wang, Thomas Fahringer, Han...
DATE
2006
IEEE
93views Hardware» more  DATE 2006»
15 years 4 months ago
Software annotations for power optimization on mobile devices
Modern applications for mobile devices, such as multimedia video/audio, often exhibit a common behavior: they process streams of incoming data in a regular, predictable way. The r...
Radu Cornea, Alexandru Nicolau, Nikil D. Dutt
IJCNN
2006
IEEE
15 years 4 months ago
A computational intelligence-based criterion to detect non-stationarity trends
—The stationarity hypothesis is largely and implicitly assumed when designing classifiers (especially those for industrial applications) but it does not generally hold in practic...
Cesare Alippi, Manuel Roveri
VLSISP
2008
93views more  VLSISP 2008»
14 years 9 months ago
Performance and Energy Consumption Improvements in Microprocessor Systems Utilizing a Coprocessor Data-Path
The speedups and the energy reductions achieved in a generic single-chip microprocessor system by employing a high-performance data-path are presented. The data-path acts as a copr...
Michalis D. Galanis, Gregory Dimitroulakos, Costas...
JMLR
2002
137views more  JMLR 2002»
14 years 9 months ago
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
Masashi Sugiyama, Klaus-Robert Müller