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UFIT Research Computing Fall AI Training Schedule

UFIT Research Computing will offer many AI-focused training opportunities throughout the Fall semester. While more will be added later, the following sessions have already been scheduled. We will host several types of events, from group consulting to NVIDIA DLI training.

Here are the September AI events (and one early October event). Additional October events will be announced later and added to the UIFT Research Computing Calendar.

• Wednesday, Sept. 4, 12:00 p.m. – 1:00 p.m.: Start your AI Research on HiPerGator
  • Are you ready to get your AI projects started on HiPerGator - the UF's state-of-the-art computing system for AI?
    This event is an open discussion and consulting session, not a workshop. It is tailored for researchers, faculty, and students eager to leverage the power of HiPerGator for AI research. Whether you are a seasoned HiPerGator user or new to the system, we will discuss your project needs and provide you with knowledge and tools to begin your AI projects on HiPerGator.
  • Location: Malachowsky Hall, room #4010
  • Register here. The room space is limited. Please register early.
• Wednesday, Sept. 4, 1:00 p.m. – 2:00 p.m.: Practicum AI and NVIDIA DLI Training Opportunities Overview
  • UFIT Research Computing’s Practicum AI series of courses are freely available on UF’s Professional and Workforce Development site. Additionally, UF community members have free access to NVIDIA’s self-paced online training. This session will introduce users to these and other available resources for learning about AI.
  • Location: The NVIDIA Auditorium (room 1000 Malachowsky Hall) and Zoom
  • Register here.
• Wednesday, Sept. 11 & Friday, Sept. 13, 1:00 p.m. – 5:00 p.m.: NVIDIA DLI: Generative AI with Diffusion Models
  • Thanks to improvements in computing power and scientific theory, generative AI is more accessible than ever before. Generative AI plays a significant role across industries due to its numerous applications, such as creative content generation, data augmentation, simulation and planning, anomaly detection, drug discovery, personalized recommendations, and more. In this course, learners will take a deeper dive into denoising diffusion models, which are a popular choice for text-to-image pipelines.
  • Location: The NVIDIA Auditorium (room 1000 Malachowsky Hall) and Zoom
  • Register here.
• Wednesday, Sept. 18, 1:00 p.m. – 2:30 p.m.: Using VSCode Remote Development on HiPerGator
  • Integrated Development Environments, like VSCode, streamline code development and testing. However, most IDEs do not work well in a cluster environment, landing users on login servers with limited resources and policy restrictions. VSCode's Remote Development Tools provides a solution, allowing users to connect to a server within a scheduled job and use the allocated resources for development and running code. This session will help users configure and run VSCode on HiPerGator.
  • Location: The NVIDIA Auditorium (room 1000 Malachowsky Hall) and Zoom
  • Register here.
• Wednesday, Sept. 25, 1:00 p.m. – 2:30 p.m.: Managing Conda Environments on HiPerGator
  • This session will provide an overview of using Jupyter on HiPerGator and demonstrate how to manage your own Conda environments and add custom kernels to your Jupyter environment.
  • Location: The NVIDIA Auditorium (room 1000 Malachowsky Hall) and Zoom
  • Register here.
• Tuesday, Oct. 1 & Wednesday, Oct. 2, 1:00 p.m. – 5:00 p.m.: NVIDIA DLI: Fundamentals of Accelerated Data Science
  • This course teaches how to leverage GPU acceleration for faster and more efficient data science and machine learning tasks. You will learn to implement GPU-accelerated data preparation and feature extraction using cuDF and Apache Arrow, apply advanced machine learning techniques with XGBoost and cuML, and perform large-scale graph analytics using cuGraph. By the end of the course, you will be able to execute complex data workflows and analyses at scale, significantly reducing computation times and enhancing their data-driven insights.  
  • Prerequisites: Experience with Python, ideally including pandas and NumPy
  • Technologies: RAPIDS, cuDF, XGBoost, cuML, cuGraph, Dask, cuPy, pandas, NumPy, Bokeh
  • Location: The NVIDIA Auditorium (room 1000 Malachowsky Hall) and Zoom
  • Register here.

Research Computing Fall HiPerGator Training Schedule

The UFIT Research Computing Fall 2024 Training Schedule is below. HiPerGator training sessions will be held most Thursdays from 10:40 a.m. to noon. This semester, we plan to offer both in-person (in the UFII Seminar Room, CISE E252) and Zoom options.

Please register by 9:00 a.m. on the training day to receive the Zoom link. The sessions will be recorded and posted on the Pre-recorded training page.

• Sept. 5, 10:40 a.m. - noon: Introduction to Research Computing and HiPerGator. Please register here.
• Sept. 12, 10:40 a.m. - noon: An Introduction to the Linux Command Line. Please register here.
• Sept. 19, 10:40 a.m. - noon: HiPerGator: SLURM Submission Scripts. Please register here. 
• Sept. 26, 10:40 a.m. - noon: HiPerGator: SLURM Scripts for MPI Jobs. Please register here.
• Oct. 3, 10:40 a.m. - noon: Running Graphical Applications on HiPerGator. Please register here.
• Oct. 10, 10:40 a.m. - noon: Jupyter Notebook and Managing Conda Environments. Please register here.