Machine Learning Techniques for Code Generation and Optimization

99 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.We follow a similar approach and use a classifier learning system to generate high performance libraries for matrix-matrix multiplication. Our library generator produces matrix multiplication routines that use recursive layouts and several levels of tiling. Our approach is to use a classifier learning system to search in the space of the different ways to partition the input matrices the one that performs the best. As a result, our system will determine the number of levels of tiling and tile size for each level depending on the target platform and the dimensions of the input matrices.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD