.. _lab_matrix:

Lab - Multithreaded Programming - Matrix Multiplication
=======================================================

    * Based on the documentation and sample code in :ref:`programming`,
      write a multi-threaded application to multiply two matrices.  
      
    * The product :math:`$C$` of matrices :math:`$A$` (M rows and K columns)
      and :math:`$B$` (K rows and N columns) is a matrix of M rows and N
      columns.

      .. math:: C = A \times B

      The individual values of :math:`$C_{i,j}$` are calculated as:

      .. math:: C_{i,j} = \sum_{n=1}^{K} A_{i,n} \times B_{n,j}

    * Define matrices A, B and C as global two dimensional arrays or lists
      (for Python).

    * Create a tread to calculate each term of C.  For safety, use a simple
      locking mechanism to control each thread writing to the global array,
      C.
      
    * Submit a short lab report as a plain text file explaining what you did
      in the activity and what you learned from doing it. Include your source
      code in your assignment submission.

    * `K-State Online Multi-threaded Application Submission Page
      <https://online.ksu.edu/SymMetrics/forms/StudentFileshare_open.action?id=1877681&courseName=CMST_410>`_