Join MathWorks for a free MATLAB seminar on Thursday, April 26, 2012, in the Fitzpatrick Center Schiciano Auditorium Side A.
Data Analysis, Parallel & GPU Computing with MATLAB at Duke University
–Register now–
Register at http://mathworks.com/seminars/Duke2012
–Agenda—
Presenter: Bonita Vormawor, Application Engineer
9:45 – 10:00 a.m.
Registration and sign-in. Walk-ins are welcome.
10:00 a.m. – 1:00 p.m.
Data Analysis, Parallel & GPU Computing with MATLAB
Part 1: Data Analysis with MATLAB
Attend this free seminar to find out how you can use MATLAB and its add-on products to develop algorithms, visualize and analyze data, and perform numeric computation.
MathWorks engineers will provide an overview of MATLAB through live demonstrations, examples, and user testimonials, showing how you can use MATLAB and related toolboxes to:
• Access data from many sources (files, other software, hardware, etc.)
• Use interactive tools for iterative exploration, design, and problem solving
• Automate and capture your work in easy-to-write scripts and programs
• Share your results with others by automatically creating reports
• Build and deploy GUI-based applications
MATLAB provides a flexible environment for teaching and research in a wide range of applications, including signal processing and communications, image processing, math and optimization, statistics and data analysis, control systems, hardware data acquisition, computational finance, and computational biology.
Part Two: Parallel Computing with MATLAB
In this session, you will learn how to solve 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 without CUDA or MPI programming and run them on multiple processors. We will also show you how to overcome the memory limits of your desktop computer and solve problems that require manipulating very large matrices by distributing your data.
Highlights include:
• Toolboxes with built-in support for parallel computing
• Creating parallel applications to speed up independent tasks
• Programming with distributed arrays to work with large data sets
• Scaling up to computer clusters, grid environments, or clouds
• Tips on developing parallel algorithms
–Register now–
Register at mathworks.com/seminars/Duke2012
Please forward this invitation to any colleagues who may be interested in this event.
