Parallel Computing with MATLAB (for CSUC, CSIC & DKF)
Overview
Is your MATLAB code compute-intensive and slow? Do you need to train AI models faster? Do you want to scale your MATLAB code across multiple cores of your machine or a local cluster? Join the MathWorks Academia Team for this upcoming workshop!
You will be introduced to powerful parallel programming constructs for multi-core desktop machines, GPUs and clusters. After this workshop you can effectively leverage your multi-core or multi-machine hardware with MATLAB!
Meeting information will be available after registration!
Highlights
- Gain insights into MATLAB multi-threading and multi-core processing.
- Engage in hands-on exercises to learn powerful MATLAB parallel language constructs.
- Discover the capabilities of GPU computing with MATLAB.
- Learn how to batch-process MATLAB code on clusters and clouds.
Who Should Attend
The workshop is for students, scientists and researchers who have a beginner to intermediate MATLAB knowledge. If you have a growing demand for MATLAB performance or plan to increase the scale of your data analysis or simulation codes, this course is for you!
Also, familiarity with the topics taught in this workshop is a prerequisite for the cluster-specific workshops held by Raymond Norris at your institution (CSUC, CSIC, DKF) later this year, so this is a good opportunity to refresh your knowledge on MATLABs Parallel Computing capabilities!
About the Presenter
This workshop is presented by Dr. Mihaela Jarema. Mihaela holds a PhD in Computer Science from TU Munich. Mihaela emphasizes development practices for sustainable research software in her work. She focusses on scientific- and high-performance computing applications with MATLAB, supporting researchers throughout EMEA in effectively using local and remote parallel resources for their computational projects.
