Recorded Webinar: Large Data Sets in MATLAB
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In this webinar we will describe strategies and techniques for handling large amounts of data in MATLAB, including:
• Understanding memory and its constraints
• Maximizing system resources
• Minimizing your memory footprint in MATLAB
• Accessing memory across multiple systems
Leveraging these strategies and techniques will allow users to avoid out of memory errors in MATLAB.
This webinar is targeted toward people already familiar with MATLAB.
Presenter: Mike Agostini
Presenter Bio: Mike has a B.S. and M.S. in Mechanical Engineering from Michigan Technological University. Prior to joining The MathWorks in 2005, he worked as an Aerospace Engineer modeling disposable launch vehicles for the Analex Corporation, where he held a DOD clearance. He has authored several journal articles in the area of control system design for dynamic systems.
View demo code from this webinar
Product Focus
- MATLAB®
- Parallel Computing Toolbox™
- MATLAB® Distributed Computing Server™
This webinar was recorded on 21 May 2009
Duration: 59:00