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ICPP
2008
IEEE
14 years 1 months ago
Machine Learning Models to Predict Performance of Computer System Design Alternatives
Computer manufacturers spend a huge amount of time, resources, and money in designing new systems and newer configurations, and their ability to reduce costs, charge competitive p...
Berkin Özisikyilmaz, Gokhan Memik, Alok N. Ch...
IPPS
2003
IEEE
14 years 23 days ago
An Executable Analytical Performance Evaluation Approach for Early Performance Prediction
Percolation has recently been proposed as a key component of an advanced program execution model for future generation high-end machines featuring adaptive data/code transformatio...
Adeline Jacquet, Vincent Janot, Clement Leung, Gua...
ASPLOS
2010
ACM
14 years 2 months ago
Characterizing processor thermal behavior
Temperature is a dominant factor in the performance, reliability, and leakage power consumption of modern processors. As a result, increasing numbers of researchers evaluate therm...
Francisco J. Mesa-Martinez, Ehsan K. Ardestani, Jo...
DAC
1999
ACM
13 years 11 months ago
ipChinook: an Integrated IP-based Design Framework for Distributed Embedded Systems
IPCHINOOK is a design tool for distributed embedded systems. It gains leverage from the use of a carefully chosen set of design ions that raise the level of designer interaction d...
Pai H. Chou, Ross B. Ortega, Ken Hines, Kurt Partr...
JMLR
2010
162views more  JMLR 2010»
13 years 2 months ago
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...