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» Performance Modelling of the Computational Hardware: A Stati...
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SIGMETRICS
2008
ACM
15 years 7 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
16 years 1 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
16 years 1 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»
16 years 1 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 6 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