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LCTRTS
2007
Springer
14 years 1 months ago
Combining source-to-source transformations and processor instruction set extensions for the automated design-space exploration o
Industry’s demand for flexible embedded solutions providing high performance and short time-to-market has led to the development of configurable and extensible processors. The...
Richard Vincent Bennett, Alastair Colin Murray, Bj...
DAC
2005
ACM
14 years 8 months ago
A quasi-convex optimization approach to parameterized model order reduction
In this paper an optimization based model order reduction (MOR) framework is proposed. The method involves setting up a quasiconvex program that explicitly minimizes a relaxation ...
Kin Cheong Sou, Alexandre Megretski, Luca Daniel
ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 6 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
PLDI
2003
ACM
14 years 5 days ago
Meta optimization: improving compiler heuristics with machine learning
Compiler writers have crafted many heuristics over the years to approximately solve NP-hard problems efficiently. Finding a heuristic that performs well on a broad range of applic...
Mark Stephenson, Saman P. Amarasinghe, Martin C. M...
IUI
2004
ACM
14 years 10 days ago
Designing example-critiquing interaction
In many practical scenarios, users are faced with the problem of choosing the most preferred outcome from a large set of possibilities. As people are unable to sift through them m...
Boi Faltings, Pearl Pu, Marc Torrens, Paolo Viappi...