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» Modeling LSH for performance tuning
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CGO
2005
IEEE
15 years 5 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»
15 years 4 months 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
15 years 1 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»
14 years 6 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
15 years 1 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...