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CP
2006
Springer
15 years 1 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...
72
Voted
ICASSP
2009
IEEE
15 years 4 months ago
On the use of Bayesian modeling for predicting noise reduction performance
In speech enhancement applications, a validated metric of noise reduction performance is vital in the relative ranking of noise reduction algorithms and in enhancing the performan...
Nazanin Pourmand, David Suelzle, Vijay Parsa, Yi H...
116
Voted
IPPS
1999
IEEE
15 years 2 months ago
Visualization and Performance Prediction of Multithreaded Solaris Programs by Tracing Kernel Threads
Efficient performance tuning of parallel programs is often hard. We present a performance prediction and visualization tool called VPPB. Based on a monitored uni-processor executi...
Magnus Broberg, Lars Lundberg, Håkan Grahn
ICCD
2006
IEEE
115views Hardware» more  ICCD 2006»
15 years 6 months ago
Long-term Performance Bottleneck Analysis and Prediction
— Identifying performance bottlenecks is important for microarchitects and application developers to produce high performance microprocessor designs and application software. Man...
Fei Gao, Suleyman Sair
IPPS
2007
IEEE
15 years 4 months ago
A Performance Prediction Framework for Grid-Based Data Mining Applications
For a grid middleware to perform resource allocation, prediction models are needed, which can determine how long an application will take for completion on a particular platform o...
Leonid Glimcher, Gagan Agrawal