- Date: Thursday, September 2, 2021
- Time: 1:00 PM - 4:00 PM PDT
- Link to Main Event Page: Using Python and Jupyter Notebooks on TSCC
This event will be held remotely.
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.
| TIME | TITLE | PRESENTER |
|---|---|---|
| 1:00 PM - 1:15 PM | 1.0 Welcome and Introductions | Subhashini Sivagnanam, Senior Computational and Data Science Specialist |
| Part I: | Interactive Computing on TSCC & Customized Python Environments | |
| 1:15 PM - 1:30 PM | 1.1 Overview of Interactive Computing | Mary Thomas, Computational Data Scientist |
| 1:30 PM - 2:00 PM | 1.2 Setting up Customized Python Environments Using PIP & Miniconda | Manu Shantharam, Senior Computational Scientist |
| Part II: | Running Jupyter Notebooks | |
| 2:00 PM - 2:30 PM | 2.1 Running Secure Notebooks on TSCC | Scott Sakai, Senior Security Analyst |
| 2:30 PM - 3:00 PM | 2.2 galyleo: A shell utility to help you launch Jupyter notebooks in a secure way | Marty Kandes, Computational and Data Science Research Specialist |
| Part III: | Hands-on | |
| 3:00 PM - 4:00 PM | 3.1 Bring your notebook and we'll try to help get it running | TSCC team |
| 4:00 PM | Q&A & Closing |