This workshop is targeted at users of the Zaratan and/or Juggernaut clusters who are interested in applying or developing multithreaded or multi-process applications. This course will cover:

During this hands-on, self-paced workshop, a MathWorks engineer will introduce the Machine-Learning/Statistics and Deep-Learning Toolboxes in MATLAB.

Please join us for an overview of Ally, the new ELMS-Canvas accessibility tool. Topics will include: 

  Please join us for an overview of Ally, the new ELMS-Canvas accessibility tool. Topics will include:

This workshop is targeted at users of the Zaratan and/or Juggernaut clusters with basic experience in Linux/Unix. The following topics and will be covered:

During this hands-on workshop, a MathWorks engineer will introduce parallel and distributed computing in MATLAB with a focus on speeding up application codes and offloading compute.

During this hands-on, self-paced workshop, a MathWorks engineer will introduce you to calling Python libraries from MATLAB as well as using MATLAB as a computational engine from Python applications. In addition, you can build Python packages from MATLAB programs (using MATLAB Compiler SDK).

This workshop is targeted at users of the Zaratan and/or Juggernaut clusters who are interested in Python programming on HPC. This course will introduce participants to these topics:

This afternoon workshop is targeted at users of the Zaratan and/or Juggernaut clusters with limited experience in Linux/Unix. This course will briefly cover:

This workshop is targeted at new users of the University's High Performance Computing resources (Zaratan and Juggernaut clusters), especially those with limited or no HPC experience.