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Speeding Up MATLAB new

Seminar Overview

Speeding up MATLAB Applications Graphic

Are you constantly looking to boost your application performance? Are you dealing with problems that are computationally or data intensive? Does the competitive landscape demand that you harness any available compute resource to solve problems in ever shorter time?  

Join us for the this free seminar to learn how you can enhance the performance of your MATLAB® applications and take advantage of computing resources from multi-core desktops to large-scale resources such as clusters, grids, and clouds, and listen to possibilities to generate C-code from your MATLAB code.



Thank you for your interest in MathWorks Seminars. There are no dates currently scheduled for this Seminar. For more information on our seminars and products contact MathWorks sales or please visit:


Who Should Attend

The sessions require only basic familiarity with MATLAB

  • All MATLAB and Simulink® users will find both sessions useful
  • Administrators who are responsible for their organization’s computing environments
Agenda
8:00

Registration and coffee

8:30

Programming Techniques to Speed up MATLAB

In this in-depth technical session, you will learn strategies to speed-up your MATLAB applications, including techniques for optimizing your MATLAB code and considerations for memory allocation.

9:30

Break

09:45

Parallel Computing

In this session you will learn how you can use MathWorks parallel computing tools to tackle your compute-intensive and data-intensive problems using hardware systems available to you. You will see how you can adapt your applications to take advantage of these systems without making significant investments in reprogramming.

10:45

Break

11:00

Embedded MATLAB™ – Generate C code from MATLAB

In this session, you will learn how to generate optimized, readable and stand-alone C code from MATLAB using the Embedded MATLAB technology. Demonstrations will explain how your existing MATLAB algorithms can become compliant with the Embedded MATLAB language, and how to use the compiler engine for code generation.

12:00

Q&A and Closing


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