University of Florida researchers have the opportunity to collaborate with NVIDIA experts to accelerate their workflow, improve performance on algorithms, and have regular consults during their project. The NVIDIA AI Technology Center at UF (NVAITC) is a joint research center of UF and NVIDIA, with a mission to advance artificial intelligence education and research. The NVAITC is the first in the U.S. and enables UF’s researchers access to NVIDIA experts and be early adopters of NVIDIA’s advanced technologies.
Both research groups and individual researchers are eligible to apply. The NVAITC is university-wide so faculty from any college or department are welcome to become an NVAITC collaborator.
Interested in working with the NVAITC? Begin the process by contacting UF Site Manager Kaleb Smith. Dr. Smith is a senior data scientist with NVIDIA and evaluates prospective collaborations. For additional information or to request a consultation about the process, please email UFIT Research Computing’s AI Team Lead Ying Zhang.
“Attending the 2023 Hackathon will help our team optimize our models to run on HiPerGator and increase their efficiency and performance,” wrote Warrington College of Business Assistant Professor Ivy Munoko. “We use a large dataset with tens of millions of data points.”
Partnering with NVIDIA and OpenACC, the second annual UF-NVIDIA GPU Hackathon began this week. Ten teams of computational researchers and developers are participating, including three external teams representing the National Oceanic and Atmospheric Administration, the University of Alabama, and Arizona State University. Each team is receiving mentorship in GPU programming, high-performance computing, and data applications from NVIDIA and UFIT staff. Professor Munoko’s team includes Karla Saldaña Ochoa, assistant professor, College of Design, Construction, and Planning, and Maxim Terekhov, Ph.D. candidate, Department of Information Systems and Operations Management.
The hackathon is an opportunity to port, accelerate, and optimize scientific applications with programming models and tools hosted through HiPerGator. Participants are also developing a deeper understanding of HiPerGator’s computational capabilities while utilizing applications on the latest supercomputing hardware. Researchers with questions about the hackathon or who would like to schedule a consult about UF-AI computing support may contact Applications Specialist and AI Support Team Lead Ms. Ying Zhang.
Together with NVIDIA and OpenACC, UFIT is hosting the second annual University of Florida Open Hackathon from May 17 – May 25, 2023.
Advanced parallel computing or GPU skills are NOT required. However, it is helpful for teams to know the basics of GPU programming and profiling. The application deadline is March 1, 2023, with selected teams being notified shortly thereafter.
Scientist and computing experts from NVIDIA, along with UFIT’s Research Computing AI team, will serve as mentors to help the hackathon teams optimize their code for GPU acceleration. UFIT will provide HiPerGator as the work platform for the hackathon. Priority acceptance will be given to UF-affiliated research groups and their collaborators, but faculty, students, and research staff from all Florida universities and SEC member institutions are encouraged to apply. Anyone with questions about the application process or the hackathon contest format are welcome to contact AI Support Team Lead Ms. Ying Zhang.
UFIT Research Computing is hosting a variety of trainings and workshops throughout the Spring 2023 semester. The options include HiPerGator user training, panel events, in-person training, and networking opportunities for UF’s research community.
The robust schedule features multiple virtual NVIDIA Deep Learning Institute (DLI) workshops on the fundamentals for deep learning and for accelerated computing with CUDA Python. The always popular Birds-of-a-Feather sessions (BOF), facilitated by Research Computing staff, are for current and potential HiPerGator users to introduce high performance computing and AI resources and services available, such as accelerated genomics and MLFlow. There are also two AI panels scheduled. The first panel is for promoting women in HPC&AI, and the second will discuss the use of AI in arts and humanities research.
All UFIT Research Computing training, panels, and BOF sessions are free. To register for any of the offerings, visit https://rc.ufl.edu/calendar/. Faculty and staff can also request group, department, or 1-on-1 training consultations. For assistance with custom training needs, please contact UFIT’s Training and Biocomputing Specialist, Dr. Matt Gitzendanner.
UFIT is offering two, full-day NVIDIA workshops this summer. Registration for the Deep Learning Institute (DLI) offerings is open to faculty and to staff who support research computing applications. Anyone with questions prior to registering may contact AI Support Team Lead Ying Zhang, firstname.lastname@example.org.
NVIDIA DLI: Building Transformer-Based Natural Language Processing Applications
This is an online workshop, held via Zoom.
DATE: June 21, 2022
TIME: 9:00 a.m. – 6:00 p.m.
NVIDIA DLI: Fundamentals of Deep Learning
This is an in-person workshop, held at the UF Informatics Institute (432 Newell Drive).
DATE: July 28, 2022
TIME: 9:00 a.m. – 5:00 p.m.
Participants receive an NVIDIA DLI certificate to recognize their subject matter competency after the successful completion of the post-workshop assessment. UFIT offers year-round training opportunities to support research inquiry. Visit the calendar of training and events for other learning opportunities.
UF and Nvidia, in collaboration with OpenACC, are jointly hosting the UF Hackathon from March 29–April 6, 2022. The deadline for teams to apply is
Feb. 21, with selected teams being notified shortly thereafter.
UFIT’s AI team, along with Nvidia AI staff, will serve as mentors to help teams parallelize and optimize code for GPU acceleration. UFIT is also providing HiPerGator AI as the work platform for the UF Hackathon. Teams from the University of Florida have priority during the application process, but teams from other Florida universities and all SEC universities are also able to apply.
The UF Hackathon is a multi-day, intensive hands-on event designed to help computational scientists and researchers port and optimize their applications using GPUs. It pairs participants with dedicated mentors experienced in GPU programming and development in AI, high performance computing, and data science applications. The event will utilize computing resources from HiPerGator AI, currently ranked as the 2nd most powerful supercomputer in U.S. higher education.
Participating teams will leave the event either with applications running on GPUs or a clear roadmap of next steps to leverage GPUs. Anyone with questions about the UF-Nvidia Hackathon may contact Ms. Ying Zhang, applications specialist and AI team lead for UFIT.
HiPerGator and HiPerGator AI can be used for teaching and research by UF faculty and faculty from Florida’s state universities. Options for using University of Florida supercomputing resources are as follows:
1. For teaching a class, allocations are free and last for one semester.
2. For research, allocations can be purchased for periods ranging from three months to several years. The rates are listed at https://www.rc.ufl.edu/services/rates/.
3. A free three-month trial allocation may also be requested. Trial allocations can be used to develop a course and to explore HiPerGator’s use for research. Interested faculty should complete the trial application form. Upon completion of the trial period, faculty will work with UFIT to find the best way forward for continuing their use of HiPerGator and HiPerGator AI.
4. Colleges and departments can also request a free three-month trial allocation to be shared between faculty in the unit. This option provides access for learning about AI and preparing to include AI in courses at no cost to individual faculty. Details of a basic AI Starter Allocation are available on the https://www.rc.ufl.edu/artificial-intelligence page.
HiPerGator has been successfully operating on the financial model described above since 2013. Financial support is due to significant investment from the Provost and Senior VP for Academic Affairs, the VP for Research, and the Office of the VP and CIO. Anyone with questions about UFIT’s computational resources and support for teaching or research may contact UFIT Research Computing Director Erik Deumens.
Enhancements to UF’s https://ai.ufl.edu/ website (AI) debuted on January 26. The site now more fully showcases UF’s commitment to integrate AI across academic, research, and outreach efforts. The Office of Strategic Communications and Marketing partnered with UFIT’s Web Services to bring about the site enhancements.
“The story we want to share digitally is one that encompasses all aspects of AI at UF,” notes Melanie Schramm, assistant vice president for strategic communications. “UF’s AI Initiative touches on every aspect of the university. Working with UFIT, this site will help us share information and discoveries with stakeholders around the world.”
The new design features a restructured homepage with content blocks dedicated to university-wide research and announcements. Two new tabs have been added: the Industry tab details UF’s investments in solidifying its role as the first “AI University,” while the News tab lists updates and events from departments and units. Students can also check out the chart on the Academics tab that lists all new and enhanced undergraduate and graduate courses that include AI components. The popular Calendar link lists the symposia, trainings, webinars, and other events focusing on AI across the enterprise. UF Human Resources also has a Jobs page dedicated solely to the AI-focused faculty and staff positions available with the university.