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» Modeling LSH for performance tuning
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CGO
2005
IEEE
14 years 1 months ago
Model-Based Framework: An Approach for Profit-Driven Optimization
Although optimizations have been applied for a number of years to improve the performance of software, problems that have been long-standing remain, which include knowing what opt...
Min Zhao, Bruce R. Childers, Mary Lou Soffa
DATE
2002
IEEE
137views Hardware» more  DATE 2002»
14 years 21 days ago
Practical Instruction Set Design and Compiler Retargetability Using Static Resource Models
The design of application (-domain) specific instructionset processors (ASIPs), optimized for code size, has traditionally been accompanied by the necessity to program assembly, ...
Qin Zhao, Bart Mesman, Twan Basten
ASPLOS
2008
ACM
13 years 9 months ago
Efficiency trends and limits from comprehensive microarchitectural adaptivity
Increasing demand for power-efficient, high-performance computing requires tuning applications and/or the underlying hardware to improve the mapping between workload heterogeneity...
Benjamin C. Lee, David Brooks
CDC
2010
IEEE
112views Control Systems» more  CDC 2010»
13 years 2 months ago
Online Convex Programming and regularization in adaptive control
Online Convex Programming (OCP) is a recently developed model of sequential decision-making in the presence of time-varying uncertainty. In this framework, a decisionmaker selects ...
Maxim Raginsky, Alexander Rakhlin, Serdar Yük...
NIPS
2007
13 years 9 months ago
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...