============================================
Matrix-Matrix Product Experiments with uBLAS
============================================


  +----------------+-------------------------------+
  | __Session 1__  |  Pure C++ Implementation      |
  +----------------+-------------------------------+
  | __Session 2__  |  Some optimizations           |
  +----------------+-------------------------------+
  | __Session 3__  |  Using OpenMP                 |
  +----------------+-------------------------------+
  | __Session 4__  |  Taking advantage of uBLAS    |
  +----------------+-------------------------------+
  | __Session 5__  |  Using GCC Vector-Extensions  |
  |                |  for  Micro-Kernels           |
  +----------------+-------------------------------+
  | __Session 6__  |  Notes on the GEMM Algorithm: |
  |                |   - Developing a micro-kernel |
  +----------------+-------------------------------+
  | __Session 7__  | Application for a fast        |
  |                | Matrix-Matrix Product:        |
  |                | LU-Factorization              |
  +----------------+-------------------------------+
  | __Session 8__  | There is still some work to   |
  |                | do:  Comparison with Intel MKL|
  +----------------+-------------------------------+

The implementation of the GEMM algorithm is based on __BLIS: A Framework for Rapidly Instantiating BLAS Functionality__ and adopted from __ulmBLAS__.

The tar-ball __test_ublas.tgz__ contains the files:

---- SHELL ---------------------------------------------------------------------
tar cfz test_ublas.tgz session*/*.hpp session*/*.cc session*/plot*
tar tfvz test_ublas.tgz
--------------------------------------------------------------------------------


:links: Session (\d)   -> doc:session$1/page01
        test_ublas.tgz -> http://www.mathematik.uni-ulm.de/~lehn/test_ublas/test_ublas.tgz
        BLIS: A Framework for Rapidly Instantiating BLAS Functionality -> http://www.cs.utexas.edu/users/flame/pubs/blis1_toms_rev3.pdf
        ulmBLAS -> http://apfel.mathematik.uni-ulm.de/~lehn/ulmBLAS/