INDUSTRY
MATLAB Seminars at Cornell September 23-24
There are three sessions to choose from. The “Data Acquisition, Analysis and Visualization in MATLAB” session will demonstrate how to acquire, analyze, and visualize data through mathematical, statistical, and engineering functions that support common engineering operations. Highlights include importing data into MATLAB; performing statistical analysis and curve fitting; automating analysis via automatic MATLAB code generation; and, building GUI’s and generating reports.
The second session, “Advanced Programming Techniques in MATLAB,” will illustrate the usage and explain the benefits of many of the different function types available in MATLAB 7. Attendees will learn how using the right function type can lead to more robust and maintainable code.
The final session, “Speeding Up Applications: Parallel Computing with MATLAB,” will demonstrate how to perform parallel and distributed computing in MATLAB to boost execution speed on computationally intensive problems and how to handle larger data sets. Parallel processing constructs such as parallel for-loops, distributed arrays, and message-passing functions will be introduced. Highlights include built-in support for parallel computing; task parallel processing; data parallel processing; and, tips on developing parallel code.
Complete event and registration information is available at: http://www.mathworks.com/company/events/seminars/cornell/.
The Cornell Center for Advanced Computing (CAC) is a leader in high-performance computing system, application, and data solutions that enable research success. Cornell was an early proponent of parallel computing with MATLAB and, today, offers extensive optimization services to its users.