Der Eintrag ist nur auf English verfügbar.

We are excited to announce the continuation of the successful collaboration between HPC.NRW and MathWorks for the third consecutive year, offering a comprehensive series of four workshops designed to empower researchers, engineers, and scientists. This unique series aims to enhance skills in high-performance computing (HPC), software development for research, and artificial intelligence (AI) with MATLAB.

The second part of the Parallel Computing with MATLAB series focuses on walking users through accessing the cluster, setting up a cluster profile, and submitting sample jobs.  FastX is used to launch MATLAB interactively, where users are shown how to set job submission arguments before running both single node and multi node jobs.  Users will follow along and submit various CPU-only jobs before discussion moves to using GPUs. Additionally, users will learn how to debug and troubleshoot if any errors appear.

Workshop Series

1. Parallel Computing with MATLAB
2. Parallel Computing with MATLAB on the CLAIX Cluster (this course)
3. Introduction to Research Software Development with MATLAB
4. AI for Predictive Maintenance

Organization

• There is no seminar fee.
• Presentations will be given in English. Slides will be available after the event.
• This is an online event and will be held in Zoom. Links are sent to registered attendees with the registration confirmation.
• You can/must register per topic, i.e., for each workshop separately.

Speaker

• Damian Pietrus (MathWorks)

Course level

• Intermediate

Target audience

• MATLAB users interested in scaling to HPC
• Existing HPC users of the  interested in parallel MATLAB

Prerequisites

• • Basic MATLAB familiarity
  • Existing Account on the CLAIX cluster of RWTH Aachen University
  • MATLAB Client and Parallel Toolbox installed on your local Workstation/Laptop
  • Network Access to CLAIX (Networks external to RWTH Aachen University may need VPN Access)

Gained skills

• How to configure MATLAB to submit jobs to the CLAIX cluster
• The MATLAB job submission workflow
• Job optimization and tuning
• Using GPUs with MATLAB
• Troubleshooting job submission techniques
• Best practices for rehosting code onto the cluster

Registration

Jetzt anmelden »

Course Material

• 2_Parallel-Computing-Workshop-Part-II_CLAIX.pdf
• 2_Parallel-Computing-Workshop-Part-II_CLAIX.zip

Cooperation Partners