Statistical Models for Empirical Search-Based Performance Tuning

@article{Vuduc2004StatisticalMF,
  title={Statistical Models for Empirical Search-Based Performance Tuning},
  author={Richard W. Vuduc and James Demmel and Jeff A. Bilmes},
  journal={IJHPCA},
  year={2004},
  volume={18},
  pages={65-94}
}
Achieving peak performance from the computational kernels that dominate application performance often requires extensive machine-dependent tuning by hand. Automatic tuning systems have emerged in response, and they typically operate by (1) generating a large number of possible, reasonable implementations of a kernel, and (2) selecting the fastest implementation by a combination of heuristic modeling, heuristic pruning, and empirical search (i.e. actually running the code). This paper presents… CONTINUE READING
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SAGE Publications. All rights reserved. Not for commercial use or unauthorized distribution

Diego, CA
2004

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