UCF Research Cyberinfrastructure (RCI)

UFIT is excited to announce that Jiang Bian will be the keynote speaker at the Fall 2021 HiPerGator Symposium. Dr. Bian, Associate Professor and Director of Cancer Informatics and UF's e-Health core, will speak about the collaboration with NVIDIA researchers to create GatorTron. The Symposium will be held on Thursday, Oct. 21.

Begun in 2018, the format of the HiPerGator Symposium has become so popular that two symposia are now scheduled each year. Each symposium features a series of lightning talks from postdoctoral fellows and students who discuss their research using HiPerGator and HiPerGator AI. Their talks immediately follow the keynote presentation, with the poster sessions completing the symposium. The event has proven to be an excellent way to share research and discuss potential future collaborations with fellow attendees.

Anyone with questions about the Fall 2021 HiPerGator Symposium may email Training and Biocomputing Specialist Matt Gitzendanner or AI Applications Specialist Ying Zhang.

The Extreme Science and Engineering Discovery Environment (XSEDE) and the National Computational Science Institute (NCSI) are pleased to announce a two-day online workshop spread over two consecutive Wednesdays, October 6 and October 13, 2021, from 1pm-4pm EDT, on Zoom.

The workshop will focus on inquiry-based learning enhanced by computational thinking with content and practice to assist teachers and faculty to incorporate modeling at all levels from mobile device to desktop to petascale supercomputing and beyond. The activities will expose participants to the basics of computational thinking, modeling, and data analysis. We desire to have participants from a broad range of disciplines, including, but not limited to, computer science, mathematics, and the physical and life sciences. Materials for the workshop are drawn from the National Science Digital Library (nsdl.oercommons.org), in particular resources from XSEDE as well as Shodor's extensive Interactivate collection of lessons, discussions, activities, and supporting materials.

An introduction to version control for researchers using Git. In this workshop, participants will learn how to stop worrying and easily track changes to their files and code. Effortlessly revert between versions with simple commands. Collaborate with colleagues seamlessly using a centralized file repository. Learn how multiple people can work on the same file and easily work through the revision conflicts.

Please note: you will receive access information for Jupyter Lab the day prior to the workshop

Computational research can analyze models and/or data to reach new conclusions in faster ways or more complex scenarios. UCF has a 4000+ core cluster for general-purpose computation for research across many fields of academic work, and a 21-node gpu cluster for specialized computation. This workshop will review capabilities of the UCF Advanced Research Computing Center in general, with a focus on the two clusters (known as Stokes and Newton). Storage system usage, job scheduling and account balancing, and job submission will be covered with an interactive hands-on session (if an attendee does not yet have an ARCC account, please be sure to request an account ahead of time via the ARCC web site at arcc.ist.ucf.edu).

The "shell" in Unix is a generic term for the program that provides the basic user interface to the system. Typically, this would be a command line interface, but might also include a graphical interface (e.g., "gnome shell"). This workshop will cover commands common to most variations of Unix and Unix command line interface shells. The second hour of this workshop will explore shell commands and solutions inspired by participant questions and problems. It is assumed you are familiar with basic shell concepts.

This lesson is an introduction to programming in Python for people with little or no previous programming experience. It uses plotting as its motivating example. This lesson references JupyterLab, but can also be followed using a regular Python interpreter as well. This lesson uses Python 3.