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» Statistical Models for Automatic Performance Tuning
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CP
2006
Springer
13 years 9 months ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
ICC
2008
IEEE
114views Communications» more  ICC 2008»
13 years 11 months ago
Optimal Statistical Tuning of the RED Parameters
Abstract— Achieving minimal loss while satisfying an acceptable delay profile remains to be an open problem under the RED queuing discipline. In this paper, we present a framewo...
Homayoun Yousefi'zadeh, Amir Habibi, Hamid Jafarkh...
IPPS
2008
IEEE
13 years 11 months ago
Model-guided performance tuning of parameter values: A case study with molecular dynamics visualization
In this paper, we consider the interaction between application programmers and tools that automatically search a space of application-level parameters that are believed to impact ...
Yiinju L. Nelson, Bhupesh Bansal, Mary W. Hall, Ai...
FMCAD
2007
Springer
13 years 9 months ago
Boosting Verification by Automatic Tuning of Decision Procedures
Parameterized heuristics abound in computer aided design and verification, and manual tuning of the respective parameters is difficult and time-consuming. Very recent results from ...
Frank Hutter, Domagoj Babic, Holger H. Hoos, Alan ...
IPPS
2007
IEEE
13 years 11 months ago
Automatic Performance Diagnosis of Parallel Computations with Compositional Models
Performance tuning involves a diagnostic process to locate and explain sources of program inefficiency. A performance diagnosis system can leverage knowledge of performance cause...
Li Li, Allen D. Malony