Introduction to Containers on KSL Platforms

Overview

Kaust Supercomputing Lab and Kaust Visualization Lab invite users with Data Science workload to attend an on-boarding session on how to use the our HPC cluster and Supercomputing. The attendees will familiarize with Ibex and Shaheen and their resources and will be proficient to submit different ML/DL jobs. This is a hands-on session so please bring your laptops with a Linux terminal installed

Learning Outcomes

After attending the training, you will be able to:

• Understand what resources are available in Ibex and Shaheen
• Be able to login and submit jobs to CPU and GPU resources
• Familiarize with storage and filesystems
• Familiarize with package management of ML/DL software
• Start interactive Jupyter Lab sessions, and multi-gpu/multi-node training batch jobs
• Have an understanding about how to estimate resources your job actually requires

There will be a Quiz conducted after the training which is mandatory to submit in order to ensure continued use of KSL resources.