Tuning MATLAB Codes For Better Performance (Hands-on)

Being an interpretive language, MATLAB provides many features to enhance the ease‐of‐use of interactive operations. However, these features may have the adverse effect of degrading computational performance. This is especially pronounced on jobs that require long run times and large memory. This tutorial identifies these pitfalls and demonstrates ways to improve user code performance.

The prerequisite for this course is a basic knowledge of MATLAB, either gotten on your own or from our "Introduction to MATLAB" tutorial.

If you try to sign up for this tutorial and find that it is full, please send email to scv-tutorial@bu.edu and we will do our best to accomodate you.

Kadin Tseng, IS&T Scientific Computing & Visualization
Tuesday, February 4, 2014 from 1:00 PM to 3:00 PM
Charles River Campus - MCS Information Services & Technology room B27 (111 Cummington Mall)