Getting Started with the Research Computing Clusters

This workshop introduces the research computing ecosystem at Princeton: the computing clusters (Nobel, Adroit, Della, Tiger, Stellar, and Traverse), the storage system, and the data visualization machines (such as Tigressdata). After an overview of the different systems and the sorts of tasks each is geared toward, the course gives users a hands-on introduction to technical topics including: how to connect to the clusters, how to manage file storage, how to access or install additional software, and how to launch jobs through our scheduling software (SLURM). Participants will also learn the basic civics of working on Princeton’s shared systems.

Learning objectives:

Attendees will come away with the basic skills needed to connect to a research computing cluster, navigate its environment and file system, install and manage their software environment, and run programs through the SLURM scheduler. Participants will also get a very high-level overview of different parallel computing paradigms and guidance on how to assess their computing needs in order to use the Princeton resources judiciously.

Knowledge prerequisites:

A working facility with the Linux command line at or above the level of PICSciE’s “Introduction to the Linux Command Line” mini-course is *essential* for this workshop. THERE WILL BE NO REVIEW OF COMMAND-LINE BASICS DURING THIS WORKSHOP!

Hardware/software prerequisites:

For this workshop, users must have an account on the Adroit cluster (https://researchcomputing.princeton.edu/systems/adroit), and they should confirm that they can SSH into Adroit *at least 48 hours beforehand*. Details on all of the above can be found here: https://researchcomputing.princeton.edu/learn/workshops-live-training/hardware-and-software-requirements-picscie-workshops. THERE WILL BE LITTLE TO NO TROUBLESHOOTING DURING THE WORKSHOP!

Session format:

Lecture, demo, and hands-on

What to expect:
Single workshop (one-off workshop –" 2 hours total)

Meet the facilitator:
Carolina Roe-Raymond is a Visualization Analyst in the Princeton Institute of Computational Science and Engineering (PICSciE) at Princeton University. As a Visualization Analyst, Carolina helps Princeton faculty, staff, and students explore and communicate their data through graphs, charts, and other visuals. Prior to her current position, Carolina created static and interactive data visualization applications for academic research groups. Carolina has a Ph.D. in Resource Ecology and Management, where she used visualizations created in R and GIS programs to advance research in urban bee ecology.

Calla Chennault is a Research Software Engineer embedded within the Maxwell Research Group in the Civil and Environmental Engineering department at Princeton University. Here, she contributes to the software development of HydroFrame, a national hydrologic modeling platform, and HydroGEN, a national platform for machine learning-based hydrologic forecasting. Prior to Princeton, Calla worked as a Software Developer at quantPort, a quantitative hedge fund, where she contributed to the development of a quantitative trading and research simulation framework. Calla has a B.S. in Computer Science from Ramapo College of New Jersey.

**Please note that this session is virtual; you will receive a Zoom link a few days prior to the session**

To request accommodations for this event, please contact the workshop or event facilitator at least 3 working days prior to the event.

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Co-hosted with: PICSciE/Research Computing

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