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» Automated Response Surface Methodology for Stochastic Optimi...
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DAC
2008
ACM
14 years 6 months ago
Predictive design space exploration using genetically programmed response surfaces
Exponential increases in architectural design complexity threaten to make traditional processor design optimization techniques intractable. Genetically programmed response surface...
Henry Cook, Kevin Skadron
ISQED
2000
IEEE
117views Hardware» more  ISQED 2000»
13 years 9 months ago
Realistic Worst-Case Modeling by Performance Level Principal Component Analysis
A new algorithm to determine the number and value of realistic worst-case models for the performance of module library components is presented in this paper. The proposed algorith...
Alessandra Nardi, Andrea Neviani, Carlo Guardiani
WSC
2004
13 years 6 months ago
Optimization by Simulation Metamodelling Methods
We consider how simulation metamodels can be used to optimize the performance of a system that depends on a number of factors. We focus on the situation where the number of simula...
Russell C. H. Cheng, Christine S. M. Currie
CCE
2007
13 years 5 months ago
Adaptive optimisation of noisy black-box functions inherent in microscopic models
For systems where exact constitutive relations are unknown, a microscopic level description can be alternatively used. As microscopic simulations are computationally expensive, th...
Eddie Davis, Marianthi G. Ierapetritou
DAC
2010
ACM
13 years 5 months ago
A correlation-based design space exploration methodology for multi-processor systems-on-chip
Given the increasing complexity of multi-processor systems-onchip, a wide range of parameters must be tuned to find the best trade-offs in terms of the selected system figures of ...
Giovanni Mariani, Aleksandar Brankovic, Gianluca P...