MATLAB Presentations and Workshops

Mathworks.

Published March 5, 2013 This content is archived.

CCR and MathWorks are teaming up to offer presentations and hands-on workshops on MATLAB in March and April.

All UB faculty, students and staff are welcome!

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Learn how to use MATLAB at UB's CCR!

Data Analysis and Visualization using MATLAB

March 21, 2013 2:00-4:00pm
Clemens 120, North Campus

Presentation by MATHWORKS

Topics:  importing data into MATLAB, performing statistical analysis and curve fitting, automating analysis via automatic MATLAB code generation, and building GUIs and generating reports.

 

Parallel Computing with MATLAB

March 22, 2013 10:00am-12:00pm
Clemens 120, North Campus

Presentation by MATHWORKS

Topics:  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, and tips on developing parallel algorithms.

 

Workshop I: Running parallel MATLAB computations using the Parallel Computing Toolbox on the UB CCR cluster.

April 8, 2013 4:00-5:30pm
Clemens 120, North Campus

Hands-on workshop given by CCR staff

Topics:  Setting up, submitting and monitoring parallel MATLAB computations that run on one compute machine in the cluster.

Requirements:  Please bring your own laptop.   You must have an account on the CCR cluster.  Visit the webpage http://ccr.buffalo.edu/support/ccr-help/accounts.html to request an account prior to the workshop.  If you are a student, please ask your faculty advisor to make the request on your behalf.

 

Workshop II: Running large parallel MATLAB computations using the MATLAB Distributed Computing Server on the UB CCR cluster.

April 10, 2013 4:00-5:30pm
Clemens 120, North Campus

Hands-on workshop given by CCR staff

Topics:  Setting up, submitting and monitoring parallel MATLAB computations that run on many compute machines in the cluster.  Shared mode uses the cluster resources only.  Non-shared mode requires the installation of MATLAB on the user’s laptop.

Requirements:  (same as above, see: Workshop I)