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» Performance Modelling of the Computational Hardware: A Stati...
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SIGMETRICS
2008
ACM
15 years 4 months ago
Ironmodel: robust performance models in the wild
Traditional performance models are too brittle to be relied on for continuous capacity planning and performance debugging in many computer systems. Simply put, a brittle model is ...
Eno Thereska, Gregory R. Ganger
IPPS
2008
IEEE
15 years 11 months ago
Outlier detection in performance data of parallel applications
— When an adaptive software component is employed to select the best-performing implementation for a communication operation at runtime, the correctness of the decision taken str...
Katharina Benkert, Edgar Gabriel, Michael M. Resch
APCSAC
2007
IEEE
15 years 11 months ago
Runtime Performance Projection Model for Dynamic Power Management
In this paper, a runtime performance projection model for dynamic power management is proposed. The model is built as a first-order linear equation using a linear regression model....
Sang Jeong Lee, Hae-Kag Lee, Pen-Chung Yew
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
15 years 10 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
CORR
2000
Springer
115views Education» more  CORR 2000»
15 years 4 months ago
Exploiting Diversity in Natural Language Processing: Combining Parsers
Three state-of-the-art statistical parsers are combined to produce more accurate parses, as well as new bounds on achievable Treebank parsing accuracy. Two general approaches are ...
John C. Henderson, Eric Brill