This hands-on workshop provides a practical introduction to command-line Linux and high-performance computing (HPC), tailored for students and researchers new to computational environments. Participants will learn the fundamentals of using the Linux command line for navigating directories, manipulating files, and executing basic shell commands. This session also covers essential skills for working on HPC systems, including secure file transfer with tools like scp and rsync, connecting to remote clusters via SSH, and basic file manipulation using vi. By the end of the workshop, attendees will be equipped to effectively interact with ARCC2, UC’s research computing cluster, and have the foundation necessary to begin implementing complex research workflows.

This workshop introduces participants to SLURM, a widely used job scheduling system for high-performance computing (HPC) environments, and is designed as a follow-up to the Intro to Linux/Intro to HPC session. Familiarity with Linux command line is expected. Attendees will learn how to submit, monitor, and manage computational jobs on UC’s supercomputing cluster ARCC2 using core SLURM commands such as sbatch, squeue, scancel, and salloc. The workshop will cover key concepts including partitions, job scripts, resource requests, and job arrays, providing practical examples to help users optimize their computing workflows. By the end of the workshop, attendees will have the foundational tools needed to work effectively in SLURM-managed environments.

Delta Accessibility Workshop Series for Researchers and Practitioners with Disabilities 

March 30 - April 1, 2026 (Monday-Wednesday) from 10:00 AM CT to 11:30 AM CT 

Join us for a comprehensive three-part workshop series designed to introduce researchers and practitioners with disabilities to the NCSA Delta high-performance computing cluster. This hands-on series prioritizes command-line proficiency, clear verbal instruction, and practical problem-solving approaches that work for all users.

• Gain confidence connecting to and navigating the Delta supercomputing cluster through hands-on practice with essential command-line tools. 
• Learn to create computational scripts and submit your first jobs to the Delta cluster using the Slurm job scheduler. 
• Explore Delta's software ecosystem and learn the essentials of version control for reproducible research. 

Who Should Attend: New HPC users, researchers with disabilities, and anyone seeking inclusive computing skills.

Series Philosophy:

• Learner-centered and problem-focused approach
• Command-line first, with GUI as a complement
• All instruction assumes a non-visual context
• Community building and peer support

Optional: Participants have the opportunity to contribute to accessibility research by completing optional surveys before and after the workshop series. 

Workshop Curriculum: For more details, please view the workshop's Learn@NCSA course.

Register now to reserve your spot and get setup instructions!

Scientific Machine Learning (SciML) is revolutionizing how we model complex physical systems by blending classical numerical analysis with the flexibility of deep learning. This workshop, jointly sponsored by NCSA and Illinois Computes, offers a deep dive into the core principles of SciML, specifically focusing on the power of Neural Operators. Using DeepONet as our primary example, we will demonstrate how to move beyond simple function approximation toward learning the underlying operators of partial differential equations (PDEs).

Topics covered in the workshop include:

- The SciML Landscape: An overview of deep learning fundamentals and the transition from conventional surrogate models to mesh-independent neural operators.

- DeepONet in Practice: A practical introduction to DeepONet architectures based on multilayer perceptrons (MLPs), with demonstrations on problems such as anti-derivatives and heat conduction.

- Advanced Architectures: Strategies for scaling SciML models using CNN-based branch networks to capture complex spatial dependencies in thermal systems.

- Future Frontiers: A discussion of recent advances in operator learning and the growing role of SciML in modern engineering and physical sciences.


Prerequisites: No prior experience with SciML is required, though familiarity with basic machine learning concepts and Python is recommended.


Instructor Bio: Diab W. Abueidda is a Research Scientist at the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign. His research spans deep learning, artificial intelligence, solid mechanics, multiphysics, and additive manufacturing, with a particular focus on applying scientific machine learning to computational engineering problems. 


Qibang Liu is a Research Scientist at the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign. His research interests span scientific machine learning, AI-aided engineering, multi-physics simulation, computational mechanics, peridynamics, and advanced manufacturing.


Hands-on participation: The workshop will use Google Colab for hands-on demonstrations.


Register by April 8, 2026

The UC Office of Research is proud to announce the first industry tenant in the Digital Futures building, Thales! Thales is one of the world’s leading aerospace companies on national defense, space exploration, and aeronautics, and the Cincinnati location is headed by UC Alumnus Nick Ernest. UC and Thales already have a great relationship, working together on a five-year aerospace research agreement that focuses on AI and air mobility. The Cincinnati location of Thales North America co-locating with UC research faculty in Digital Futures represents an even deeper bond and showcases UC’s research goal to work more closely with industry on solving real-world problems.

The Thales Welcome Event will begin with a short ceremony with remarks from UC and Thales leadership, followed by a panel featuring diverse perspectives on how academia can work better with government and industry. Throughout the welcome event, research students will showcase their work on AI and Defense-related projects in a student poster session.

UC Professor and Interim Dean for the College of Engineering and Applied Science Dr. Marty Emmert will moderate a panel featuring representatives from government and industry discussing how universities can better interact with Industry and the Federal Government (DoD primarily) to solve real-world problems.

Lunch provided.

Following the Thales Welcome Event, Interim Vice President for Research Frank Gerner will host an engaging session spotlighting the university’s latest transformative initiatives and strategic investments in research. Join us as select UC faculty share insights into their groundbreaking projects, sparking dynamic discussions around emerging areas of interdisciplinary research. Don’t miss this opportunity to learn firsthand about the future-focused directions driving our research enterprise!

The Ohio Supercomputer Center (OSC) will host a National Science Foundation (NSF) ACCESS Regional Workshop on artificial intelligence (AI) April 14–15, 2026, at the Fawcett Center on The Ohio State University’s campus.  

The in-person workshop provides a unique opportunity for researchers, educators, and students to learn how to integrate AI tools in research and classroom settings. 

Part of a regional series based on the National AI Research Resource (NAIRR) Pilot’s AI Unlocked: Empowering Higher Ed through Research and Discovery workshop, the event is designed to help institutions across the United States navigate the rapidly evolving AI landscape.  


Application and Travel Support

Participation is free for the day and a half-long, in-person event, which is sponsored by the NSF ACCESS and NAIRR programs. Space is limited to 100 participants, and OSC anticipates receiving more applications to attend than available spots. 

PyTorch Lightning provides streamlined libraries like Fabric and Trainer for efficient multi-GPU training, enabling AI practitioners to scale their deep learning applications with ease. This workshop will delve into advanced techniques for training models across multiple GPUs, discussing essential strategies to optimize convergence and performance. Attendees will also learn to leverage TensorBoard for comprehensive experiment tracking and metric visualization, ensuring robust monitoring throughout the training lifecycle.


The session will also address best practices for model persistence and resilience, including methods for saving intermittent checkpoints and seamlessly resuming training from interruptions. By mastering these techniques, participants will enhance their ability to manage large-scale, distributed training workflows, reducing computational overhead and accelerating development cycles. This hands-on exploration is designed to equip researchers with practical skills to scale their deep learning workflows.


Prerequisites: Prior experience with PyTorch fundamentals will be useful.


Hands-on participation: The workshop will use NCSA's Delta cluster for hands-on demonstrations. You will need to an ACCESS account to participate in the hands-on exercises on Delta. The account is free and can be set up on the ACCESS account registration page. Please set up your account before completing this registration form.


Register by April 8, 2026