Optimizing Matrix Multiplication with a Classifier Learning System

@inproceedings{Li2005OptimizingMM,
  title={Optimizing Matrix Multiplication with a Classifier Learning System},
  author={Xiaoming Li and Mar{\'i}a Jes{\'u}s Garzar{\'a}n},
  booktitle={LCPC},
  year={2005}
}
Compilers have been very successful on automating the process of program optimization, but there is still a significant difference in performance between the code generated by the compiler and the hand-optimized code. Library generators such as ATLAS, SPIRAL, and FFTW address this problem by using empirical search to find the parameter values of certain… CONTINUE READING