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HPCA
2008
IEEE
14 years 5 months ago
Roughness of microarchitectural design topologies and its implications for optimization
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
Benjamin C. Lee, David M. Brooks
ASPDAC
2005
ACM
100views Hardware» more  ASPDAC 2005»
13 years 7 months ago
Microarchitecture evaluation with floorplanning and interconnect pipelining
— As microprocessor technology continues to scale into the nanometer regime, recent studies show that interconnect delay will be a limiting factor for performance, and multiple c...
Ashok Jagannathan, Hannah Honghua Yang, Kris Konig...
ISCA
2012
IEEE
224views Hardware» more  ISCA 2012»
11 years 8 months ago
A first-order mechanistic model for architectural vulnerability factor
Soft error reliability has become a first-order design criterion for modern microprocessors. Architectural Vulnerability Factor (AVF) modeling is often used to capture the probab...
Arun A. Nair, Stijn Eyerman, Lieven Eeckhout, Lizy...
ARCS
2009
Springer
14 years 2 days ago
Empirical Performance Models for Java Workloads
Abstract. Java is widely deployed on a variety of processor architectures. Consequently, an understanding of microarchitecture level Java performance is critical to optimize curren...
Pradeep Rao, Kazuaki Murakami
ICCV
2007
IEEE
14 years 7 months ago
Population Shape Regression From Random Design Data
Regression analysis is a powerful tool for the study of changes in a dependent variable as a function of an independent regressor variable, and in particular it is applicable to t...
Bradley C. Davis, P. Thomas Fletcher, Elizabeth Bu...