10:00 a.m.-3:30 p.m.
3201 JM Patterson Building
For More Information:
Join Mathworks for complimentary MATLAB seminars at University of Maryland on Wednesday, August 15, 2012 in the JM Patterson Building, Room 3201 (JMP 3201). Faculty, staff and students are all welcome to attend.
10:00 a.m. – 12:00 p.m.
Session 1: Data Analysis and Visualization with MATLAB for Beginners
MATLAB is a programming environment for algorithm development, data analysis, visualization, and numerical computation. Using MATLAB, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran.
During this introductory technical seminar, we will provide an overview of MATLAB and introduce you to the powerful statistical analysis and visualization capabilities available in the MATLAB product family. We will demonstrate how to acquire, analyze and visualize data, introduce desktop tools for editing and debugging code, and show you how to publish your results.
- Accessing data from files, spreadsheets and other sources
- Performing statistical analysis, curve and surface fitting routines
- Developing algorithms and applications to automate your workflow
- Generating reports in HTML and other file formats to share your work
1:30 – 3:30 p.m.
Session 2: Parallel and GPU Computing with MATLAB
In this session you will learn how to solve and accelerate computationally and data-intensive problems using multicore processors, GPUs, and computer clusters. We will introduce you to high-level programming constructs that allow you to parallelize MATLAB applications and run them on multiple processors. We will also demonstrate how to take advantage of GPUs to speed up computations without low-level programming.
- Toolboxes with built-in support for parallel computing
- Creating parallel applications to speed up independent tasks
- Scaling up to computer clusters, grid environments or clouds
- Employing GPUs to speed up your computations
Register now at the MATLAB Seminars at University of Maryland registration page.
This Event is For: All Students • Graduate • Undergraduate • Faculty • Staff