Loading...
Getting Started with the Research Computing Clusters
Registration
Registration is now closed (this event already took place).
Details
Participants will also learn the basic civics of working on Princeton’s shared systems, including guidance on how to request the right amount of memory and computing power (including choosing CPUs vs GPUs) and rules of thumb to avoid delays or interruptions in computing jobs.
Workshop format: Interactive presentation, with hands-on activities.
Target audience: *All users* Princeton's research computing systems should know this content (think of it as “Driver’s Ed” for supercomputers). Some of that content is Princeton-specific, so this workshop is suitable not only for those new to working on shared Linux clusters but also for those with experience at other institutions whose systems and policies might differ from Princeton’s.
Knowledge prerequisites: A working facility with the Linux command line at or above the level of PICSciE’s “Intro 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, and they should confirm that they can SSH into Adroit *at least 48 hours beforehand*. Details on all of the above can be found in this guide. Users should follow the guidelines in the first two sections of that linked guide (https://researchcomputing.princeton.edu/learn/workshops-live-training/requirements-picscie-virtual-workshops), 'Overarching requirements' and 'Workshops that use Adroit.
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.
Speakers
Carolina Roe-Raymond
Visualization Analyst
Princeton University
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.
Rishi Joshi
Princeton University
Rishi Joshi is a Research Data Storage Management Engineer for Research Computing and the Princeton Research Data Service. His focus is in enabling research by applying supercomputing architecture to new areas of need. Before joining Princeton, Rishi was fortunate to work on the largest private and public clusters as a specialty platform engineer, where he found a passion in bringing HPC infrastructure and tools to various new AI, research, and media platforms previously facing bottlenecks. Now his goal is to strategically architect storage clusters to handle the next generations of diverse research workloads. Rishi received his MS in Information Assurance and Cybersecurity.
Kevin Abbey
Princeton University
Kevin Abbey is a Systems Administrator in the Princeton Institute of Computational Science and Engineering (PICSciE) at Princeton University. He ensures the clusters and storage are up and running well. You’ll also find him answering support tickets when you have questions. Prior to his current position, Kevin was a systems administrator at Rutgers University for 15 years supporting research computing at both departmental and campus wide levels. Kevin has a M.S. in Bioinformatics and B.S. in Chemistry from Northeastern University.
Hosted By
Co-hosted with: GradFUTURES
Contact the organizers