Using Python and Jupyter Notebooks on TSCC

The Triton Shared Computing Cluster (TSCC) is UC San Diego’s primary research HPC system. It is foremost a "condo cluster" (researcher-purchased computing hardware) that provides access, colocation, and management of a significant shared computing resource, as well as providing a "hotel" service for those with temporary or bursty HPC needs. Like many research scientists, the TSCC community has been increasing its usage of interactive services such as Jupyter Notebooks.

This workshop will focus on providing guidelines for setting up customized Python environments, how to install and manage packages using Miniconda/pip, and how to run secure Jupyter notebooks on TSCC.

• 1:00 PM - 1:15 PM - Research Computing for UC San Diego Triton Shared Computing Cluster
  • Subhashini Sivagnanam, Senior Computational and Data Science Specialist

• 1:15 PM - 1:30 PM - Interactive Computing and Running Jupyter Notebooks
  • Mary Thomas, Computational Data Scientist
• 1:30 PM - 2:00 PM - Customizing Python Environments on TSCC (Using PIP, Miniconda)
  • Manu Shantharam, Senior Computational Scientist

• 2:00 PM - 2:30 PM - Using Jupyter Notebooks Securely on TSCC
  • Scott Sakai, Senior Security Analyst
• 2:30 PM - 3:00 PM - galyleo: A shell utility to help you launch Jupyter notebooks in a simple, secure way
  • Marty Kandes, Computational and Data Science Research Specialist

• 3:00 PM - 4:00 PM - Bring your notebook and we'll try to help get it running
  
  • TSCC team
• 4:00 PM - Q&A & Closing