03-19, 10:00–10:25 (US/Eastern), Tsai Auditorium (CGIS S010)
Join us to learn how HPC Centers and other sites are integrating MATLAB to work with cluster hardware and data portals. This session will cover tools and best practices to make MATLAB available to users on OOD as a browser-based app and as a Jupyter Notebook language plug-in, as well as available GPU and other parallel computing capabilities.
The new matlab-proxy repository is available on GitHub and works with your existing MATLAB licenses to make MATLAB available to users as a browser-based web application. The web-based MATLAB environment is very similar to the local MATLAB desktop interface, giving users a consistent and responsive experience across platforms. A second GitHub repo, jupyter-matlab-proxy includes tools to integrate MATLAB as a language for use in Jupyter Notebooks, enabling users to create MATLAB language based .ipynb computational notebooks for research reports and course projects.
The talk will include brief demonstrations of the integrations and the associated MATLAB capabilities. Additionally, we will share online resources and support services to get you started and help MATLAB users run MATLAB more effectively on HPC and Research center clusters.
Nick Choi is a product manager at MathWorks focusing on integrations between MATLAB and various third party environments such as Open OnDemand, Jupyter and VS Code.