Parallel Computing with MATLAB on the Desktop Scaling Parallel Computing with MATLAB to HPC TU Dresdenīy Raymond Norris, Principal Application Engineer, MathWorks Parallel Computing with MATLAB TU Dresden This module is divided into two sessions: The focus will be on writing robust parallel code as well as running batch jobs on the TAURUS HPC cluster. This hands-on tutorial will introduce participants who are familiar with MATLAB to the MATLAB parallel language and MATLAB Parallel Server. With MATLAB and the MATLAB Parallel Server, researchers can use the familiar MATLAB environment to run computationally intensive MATLAB programs efficiently on computer clusters. Speaker: Sebastian Groß, MathWorks and Raymond Norris, Principal Application Engineer, MathWorks Participants will be able to dive right into Modules 1-4 of the tutorial series Module 1 - Parallel Computing with MATLAB (Hybrid) on Wednesday,, 9:00 am - 6:00 pm Participants verify their set-up and check access to TAURUS cluster Learning Objectives Module 0 is for everyone who is registered for the MATLAB NHR Tutorial
MATLAB TUTORIAL HOW TO
Module 0 - Orientation on how to access MATLAB on TAURUS’s cluster on Tuesday,, TBA
Module 4 – Interoperability of MATLAB and Python Module 2 - Machine Learning with MATLAB Module 1 - Parallel Computing with MATLAB Module 0 - Orientation on how to access MATLAB on TAURUS’s cluster (for everyone who is registered for the MATLAB NHR Tutorial) The NHR course series is divided into different modules as follows. In addition, one module will be dedicated to the interoperability of MATLAB with the Python programming language.
The event will also show how to use the built-in capabilities for Machine Learning in MATLAB using the MATLAB Parallel Server and show how to do deep learning with MATLAB using modern GPUs on a cluster computer through the MATLAB Parallel Server. This event will introduce participants who are familiar with the MATLAB environment to the MATLAB Parallel Server and show how to run batch jobs, parallel computations and provide an understanding of the caveats in running in a cluster environment. With MATLAB and the MATLAB Parallel Server researchers can use the familiar MATLAB environment to run computationally intensive MATLAB programs efficiently on computer clusters. TU Dresden provides all staff and students with free campus-wide MATLAB access, including dedicated toolboxes for various applications.
MATLAB TUTORIAL SOFTWARE
It is developed by MathWorks, the leading developer of mathematical computing software for engineers and scientists. MATLAB is a programming and numeric computing platform used by millions of engineers and scientists to analyze data, develop algorithms, and create models.
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