Important Update
The Princeton Institute for Computational Science & Engineering (PICSciE), in collaboration with OIT Research Computing and other academic departments, offers workshops and mini-courses this academic year. Most workshops will be held in-person but may pivot to holding all sessions remotely to comply with the University and State health and safety protocols. If you have comments or questions, please email [email protected].
Registration
Registration happens via the My PrincetonU (My Campus Groups). Note that an active Princeton NetID is required to register for and to attend our sessions, as well as to view Zoom recordings. If you are a Princeton affiliate without a NetID, or if you are affiliated with a partner institution (e.g. PPPL, GFDL or IAS), please email [email protected] to see whether we can accommodate you (it is not possible for Wintersession).
Topics and schedule of workshops
The table below shows a complete listing of in-person workshops in chronological order. Clicking on a workshop title will take you to the course description, venue, and other event details for that workshop.
Spring 2024 Mini-Courses and Workshops
RESEARCH COMPUTING FUNDAMENTALS
Workshop | Date | Time | Instructor(s) |
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Big Data, Easy Access: Exploring Princeton's Clusters for the Social Sciences and Humanities | 2/12 | 4:30-6:00 PM | Mattie Niznik |
Introduction to the Linux Command Line (Parts 1 & 2) | 2/13,2/14 | 3:00-4:30 PM | Galen Collier |
Command-Line Power Tools | 2/15 | 3:00-4:30 PM | Galen Collier |
From Console to Clusters: Mastering Slurm, Data Strategies, and High-Performance Computing at Princeton (Parts 1 & 2) | 2/19,2/20 | 4:30-6:00 PM | Mattie Niznik |
Removing the Tedium from Your Research Workflow | 2/21 | 4:30-6:00 PM | Jonathan Halverson |
How to Compile and Install Open-Source Software Yourself | 3/26 | 4:30-6:00 PM | Prentice Bisbal |
MACHINE LEARNING
Workshop | Date | Time | Instructor(s) |
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Getting Started with Machine Learning in Python | 2/28 | 4:30-6:00 PM | Julian Gold |
Getting Started with Deep Learning Using PyTorch | 3/6 | 4:30-6:00 PM | David Turner |
Reinforcement Learning from Human Feedback with Hugging Face | 3/7 | 4:30-6:00 PM | Costa Huang |
A.I. Tools for Your Research with Google Cloud Platform | 3/11 | 10:00 AM-12:00 PM | Google Staff |
Welcome to the Neural Network Zoo: A Survey of Architectures for Your Research | 3/25 | 4:30-6:00 PM | Gage DeZoort |
PYTHON PROGRAMMING
Workshop | Date | Time | Instructor(s) |
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Introduction to Programming Using Python (Parts 1, 2 & 3) | 2/22,2/26,2/27 | 4:30-6:00 PM | Matthew Cahn |
Python Code Cleanup: Tackle These 10 Common Issues | 3/5 | 4:30-6:00 PM | Troy Comi |
Python User Group | 3/8 | 12:00-1:00 PM | PICSciE Staff |
ACCELERATED COMPUTING
Workshop | Date | Time | Instructor(s) |
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GPU User Group Kickoff Meeting | 2/23 | 3:00-4:00 PM | Jonathan Halverson |
Introduction to GPU Computing | 2/26 | 4:30-6:00 PM | Jonathan Halverson |
Kokkos: A Parallel, Portable Programming Model for CPUs and GPUs | 2/27 | 4:30-6:00 PM | Rohit Kakodkar |
Introduction to Accelerated Genomic Analysis | 3/12 | 3:00-4:00 PM | Huiwen Ju |
High-Performance Python for GPUs | 3/19 | 4:30-6:00 PM | Henry Schreiner |
VISUALIZATION AND GEOGRAPHIC INFORMATION SYSTEMS
Workshop | Date | Time | Instructor(s) |
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Data Visualization in Python | 3/21 | 4:30-6:00 PM | Michal Grzadkowski |
Visualization with VisIt | 4/5 | 2:00-3:30 PM | Eliot Feibush |
Geographic Information Systems (GIS) Workshops on QGIS and ARCGIS PRO | 2/5-3/21 | -- | Bill Guthe, Wangyal Shawa |
WORKING WITH DATA
Workshop | Date | Time | Instructor(s) |
---|---|---|---|
Introduction to Data Analysis Using R | 2/14 | 10:00 AM-12:00 PM | Oscar Torres-Reyna |
Introduction to Data Analysis Using Python | 2/21 | 10:00 AM-12:00 PM | Oscar Torres-Reyna |
Working with Restricted Datasets at Princeton: Secure Research with Citadel | 2/27 | 11:00 AM-12:00 PM | Irene Kopaliani, Ryan Fedon |
Prerequisites and Advance Setup
Many of our workshops have knowledge prerequisites and/or require advance setup of hardware or software. Please read the workshop descriptions carefully and make sure you have satisfied any requirements well in advance. A guide to help with advance setup for in-person workshops can be found on our workshop requirements page.
An analogous guide for virtual workshops, which includes a list of overarching requirements for any workshop conducted over Zoom, can be found on our virtual workshop requirements page. Please note that, because of the logistical challenges it entails, there will be no troubleshooting of setup issues during the virtual workshops.
Workshop Materials
Workshop materials will be made available sometime at the end of the semester on the workshop archive page.
Pre-recorded Virtual Workshops
PICSciE has also archived recordings and presentation materials on a broader range of topics related to research computing. Although not as useful as participating in real-time instructor-led training, researchers and staff may find these materials useful as self-paced training, or as a reference to peruse before or after attending "live" sessions (whether in-person or virtual).
- Fall 2022 Workshops -- archives of Fall 2022 workshops. Note that not all sessions were recorded.
- Spring 2022 Workshops -- archives of Spring 2022 workshops. Note that not all sessions were recorded.
- Winter 2022 Bootcamp -- Wintersession 2022 Zoom Workshops. Note that not all sessions were recorded.
- Fall Break 2021 Workshops -- archives of Fall Break 2021 Workshops. Note that not ll sessions were recorded.
- Fall 2021 Workshops -- archives of our Fall 2021 Zoom Workshops. Note that not all sessions were recorded.
- Spring 2021 Workshops -- archives of our Spring 2021 Zoom workshops. Note that not all sessions were recorded.
- Winter 2021 Bootcamp -- PICSciE, in conjunction with CSML, also offered intensive two-week training on a range of beginning to advanced computing topics during January 2021. A catalog of those sessions, including presentation materials and recordings (when available), can be found on the Winter 2021 Research Computing Bootcamp website.
- Fall 2020 Workshops -- archives of our Fall 2020 Zoom workshops. Note that not all sessions were recorded.
Questions
For any questions, or for more information, please email [email protected] .
Virtual Workshop Logistics
Please read the following information about virtual workshop logistics --- in particular the sections about technical prerequisites for hands-on workshops --- BEFORE registering.
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As with in-person workshops, our virtual events still require registration at My PrincetonU. Only individuals with active Princeton NetIDs may register for and attend our remote workshops. A Zoom link will be sent to you with your registration.
If your plans change and you cannot attend, please cancel your registration at least 48 hours in advance! Sometimes significant technical and human resources need to be allocated to these workshops, and we need a reasonably accurate headcount in order to do that so that these events can run smoothly.
If a workshop has limited enrollment, please do not register unless you can attend the full workshop and participate actively! You will be taking a slot from someone more ready to profit from the event. Don't worry -- we re-offer the same workshops periodically, and we make most workshop materials available for offline consumption.
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Prerequisites and Advance Setup
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All of our virtual workshops require that participants use a Zoom account associated with an active Princeton NetID. Some also require that participants either be on a Princeton network (hard-line or eduroam wifi) or behind a VPN. This guide describes overarching prerequisites and setup instructions for virtual workshops.
In addition, many of our workshops have hands-on components that require that additional technical requirements be set up before a workshop begins. Any knowledge prerequisites or technical prerequisites are listed in each workshop's description, both on its Events entry here on the Research Computing website and on the registration page.
Please read a workshop's prerequisites carefully! For instance, a workshop description may mention that you need an Adroit account with SSH access or the ability to run Jupyter notebook on your local computer. The aforementioned guide offers instructions for setting up all these requirements, and you should read the sections of the guide appropriate to your workshop and follow the instructions therein at least 72 hours in advance of your workshop.
As a general rule, we offer no troubleshooting for technical setup issues (e.g. hardware/software setups, connecting to the Adroit training cluster, etc) at the workshops themselves! Doing so over Zoom is challenging and interruptive, not to mention demanding on our human resources. Therefore, be aware that if you do not set up a workshop's technical prerequisites well in advance, you may not be able to participate fully in its hands-on activities.