The Malachowsky Hall for Data Science and Information Technology (DSIT) is a 263,000 sq. ft. academic and research collaboration building for AI and machine learning innovation. Named for UF alumnus and NVIDIA co-founder Chris Malachowsky, it seems very appropriate that the first event in DSIT’s NVIDIA Auditorium is an NVIDIA workshop:
Title: Synthetic Data Generation for Training Computer Vision Models
Date: Friday, Oct. 20 │ 9:00 – 4:30 p.m.
Location: NVIDIA Auditorium, Malachowsky Hall Rm. 1000
To register email UFIT Communications with your name, UFID number, and home department or lab affiliation. The workshop is part of NVIDIA’s Deep Learning Institute and will be taught by an NVIDIA instructor. The full synopsis, including links to review prior to the workshop, is available here.
NOTE: Registrants must complete additional NVIDIA steps to be fully registered for the Oct. 20 workshop. Be sure to read the synopsis and take the appropriate steps provided to ensure your NVIDIA Developer Program account is activated and your DLI cloud space is ready for you to fully engage in the workshop. Anyone with questions about this workshop is welcome to contact UFIT’s AI Support Manager Ying Zhang.
To assist researchers and instructors in getting started with HiPerGator, UFIT produced a series of videos that explain the processes for setting up a HiPerGator account, training and support for UF’s high-performance computing environment, and using HiPerGator in undergraduate courses:
Getting Started with HiPerGator
Teaching with HiPerGator
UFIT also has a video explaining what ResVault is. That system can be used for computing on highly regulated data like export controlled data. HiPerGator is also certified to allow working with PHI if the proper procedure is followed.
Our Research Computing staff look forward to meeting you and enabling your line of inquiry. You’ll find many additional resources on the https://rc.ufl.edu/ website to help you begin your journey in UF’s high-performance computing environment, and staff are available for in-person and online consultations as needed to fit your schedule. Please contact Senior Director Erik Deumens if you have any questions about getting started with HiPerGator and our campus’s research computing ecosystem.
Storage provided by UFIT’s Research Computing department is for research and educational data, code, and documents used on HiPerGator and its ecosystem. Registered HiPerGator users are allotted 40GB of storage in their home directory, but depending on the research project, more storage may be needed. To support research and discovery, UFIT manages three DDN EXAScaler filesystems and offers three tiers of additional storage–blue, orange, and red.
● Blue for job input/output
● Orange for “warm” storage
● Red for Nvidia DGX A100 SuperPod workflows
Faculty with long-term projects should become familiar with the service levels included with each tier level. The storage offerings are described on the storage use policy page.
Access to additional storage resources is obtained either as a hardware investment or service investment. Learn more about HiPerGator hardware and service investments here:
https://rc.ufl.edu/get-started/purchase-allocation/. Typically, the turnaround time for provisioning additional storage resources is two to three business days.
Researchers from UF, SUS institutions, or SEC universities who would like a consult about their project’s storage needs are welcome to contact the Research Computing staff.
HiPerGator joins an elite group of university supercomputers that has earned the HITRUST r2 certification. HITRUST certification confirms that UF meets all international security and compliance requirements for data protection and can process large amounts of sensitive data and personal information, including patient health information (PHI). To set up a project on HiPerGator that works with PHI, researchers must still adhere to all policies and procedures listed on this webpage.
HITRUST certification is a way for universities, scientific organizations, and others to demonstrate that specific systems within their environment meet the framework’s rigorous standards and requirements. To achieve certification, independent assessors perform extensive testing and verification of hardware systems, networks, software, procedures, and processes to ensure that the system operates as described in documentation and policies. The HITRUST r2 assessment level is the most strenous review available and provides the highest level of assurance for organizations to manage their risk.
HiPerGator went online in 2013 for research on open data. The HiPerGator-RV enclave earned NIST 800-171 and NIST 800-53 compliance in 2017. Anyone with questions about UF’s HITRUST certification may contact Research Computing Director Dr. Erik Deumens.
“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.
The Practicum AI program will be offered this summer, from June 7–July 12. Practicum AI is led by Training and Biocomputing Specialist Dr. Matt Gitzendanner.
Practicum AI is a hands-on, applied AI curriculum developed for participants with a limited coding and math background. Using hands-on exercises and graphically-based, conceptual content, learners without extensive computational skills can begin exploring applied AI. While all sessions will be available via Zoom, registrants are encouraged to attend in person for the best opportunity to learn, interact with instructors and fellow students, and to ask questions. Practicum AI will be held in the UF Informatics Institute. Registration closes May 31. Visit this link to register.
Getting Started with AI │ June 7, 1-5pm
Introduction to artificial intelligence, how it can be applied in diverse disciplines, and some key ethical considerations.
Computing for AI │ June 14, 12:30-5pm
Getting started with the foundational tools used in AI research, including Jupyter Notebooks, Git and GitHub.com, and computer clusters, like HiPerGator.
Python for AI │ July 6 and July 7, 1-5pm
Introduction to the basics of Python programming, which is the predominant language used in AI. The course assumes no prior programming experience. Participants will learn the basics of Python to begin using AI frameworks for AI research.
Deep Learning Foundations (DLF) │ July 10, July 12, and July 13, 2-3:30pm
Introduction to neural networks–how they work and how to train them. Students must attend the July 6-7 Python course to participate in the three-day DLF course.
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.
The fifth annual Fall HiPerGator Symposium will take place from 9:00 a.m. to 1:00 p.m. on Tuesday, November 1. The symposium will be held virtually via Zoom and consist of three parts: a keynote presentation, 10-minute ‘lightning’ talks, and poster sessions. Dr. Bala Balachandar, Newton C. Ebaugh Distinguished Professor in the Department of Mechanical and Aeronautical Engineering, will deliver the keynote presentation. The full Symposium agenda is available online.
The symposium is open to everyone in the UF community and to research faculty in the state university system and Southeastern Conference member institutions. Register to attend here.
All postdocs, undergraduates, and graduate students can submit to present a lightning talk or a poster. The fall symposium focuses on high-performance and high-throughput computing, leveraging HiPerGator 3.0 and its storage systems. While AI applications may be considered, the spring symposium focuses specifically on AI. Visit the event registration page to submit a proposal for a lightning talk or a poster. → Applications to be a presenter must be received by October 14.
Anyone with questions about the Fall HiPerGator Symposium may contact UFIT Applications Specialist Ying Zhang.
UFIT is hosting two MONAI-focused tutorials in July. Both tutorials will be held via Zoom:
Tutorial Name: MONAI Core
Date: Tuesday, July 12, 12:00–1:00 p.m.
Description: MONAI Core is a PyTorch based and GPU-accelerated deep learning framework, specifically designed for medical imaging. This tutorial will cover:
• Why MONAI Core: the unique and impactful features of MONAI Core
• MONAI Core on HiPerGator: end-to-end demo on HiPerGator
Tutorial Name: MONAI Label for Medical Imaging with NVIDIA
Date: Tuesday, July 26, 12:00–1:00 p.m.
Description: MONAI Label is an open-source medical-imaging-specific tool for both AI-assisted annotation and building your own AI annotation models. This tutorial has two parts:
• An in-depth MONAI Label introduction
• A step-by-step demo on HiPerGator
MONAI is a freely available, community-supported, PyTorch-based framework for deep learning in healthcare imaging. MONAI provides domain-optimized foundational capabilities for developing healthcare imaging training workflows in a native PyTorch paradigm. Anyone with questions about the MONAI tutorials or other training opportunities offered by UFIT Research Computing may contact Dr. Matt Gitzendanner.