During this hands-on workshop, we will introduce parallel and distributed computing in MATLAB with a focus on speeding up application codes and offloading computers. By working through common scenarios and workflows using hands-on demos, you will gain a detailed understanding of the parallel constructs in MATLAB, their capabilities, and some of the common hurdles that you’ll encounter when using them.
This workshop is designed to introduce new users to the HPC resources available at Yale and to provide a comprehensive overview of the basic concepts needed to perform computing on the Yale clusters:
In this hands-on introductory workshop, you will learn the basics of Machine Learning and how to apply it to a variety of different data types. MATLAB provides an environment to apply advanced techniques without requiring extensive coding nor experience in machine learning. This workshop is presented by Mathworks and led by a MATLAB expert Ramnarayan Krishnamurthy.
Dear YCRC Users,
Join us for a two hour seminar on getting started with AI/ML on HPC clusters. This beginner-friendly session will introduce key AI/ML concepts, while guiding you through running these processes on our high performance computing systems. No prior experience is needed—just bring your curiosity and learn how to leverage powerful computing resources for AI/ML research. Perfect for those looking to take their first steps in AI/ML on HPC.