DECEMBER 5, 2025 TACC Training — Tapis: Sustaining Collaborative Science w/ Open Source Cyberinfrastructure Join us to learn about the development cycle of the open-source API framework known as Tapis. Register
DECEMBER 10-11, 2025 NERSC End-to-End AI for Science Bootcamp, December 2025 The bootcamp provides a step-by-step overview of the fundamentals of deep neural networks, walks attendees through the hands-on experience of building and improving deep learning models using a framework that uses the fundamental laws of physics to model the behavior of complex systems, and enables attendees to visualize the outputs of the trained model. Register
DECEMBER 17, 2025 NHERI Presents — Expanding the scope of in-field post-wildfire investigations through NHERI This presentation will explore how in-field data collection using uncrewed aerial vehicles (UAV), lidar, and in-field measurements and observations can be coupled with finite element method (FEM) modeling to explore the fire demands within a school building. Register
Introduction to PETSc with Victor Eijkhout PETSc provides a framework for the development of computational science codes. Its focus is on solving linear and nonlinear systems, but it is more than a collection of algorithms: it is a complete toolkit supporting parallel data structures, linear algebra, PDEs, meshes. Watch Now
Intro to the PyLauncher with Victor Eijkhout The PyLauncher is a python-based parametric job launcher, that is, a utility for executing many small jobs in parallel. Watch Now
How to Submit and Cancel Jobs with Jack Gaither Watch a demonstration of the proper use of the Slurm Workload Manager on TACC systems in this quick tutorial. Watch Now
JUNE 26–30, 2023 Machine Learning Institute At TACC ML Institute, we will walk you through the basics, state-the-of-art methods, modern tools, and hands-on exercises of machine learning and deep learning at supercomputer scale. Register
JUNE 12–16, 2023 BootUp/ReBoot @ TACC Institute A dual boot camp focused on immersing you into the research life cycle, where you'll solve a computational scientific model, iteratively. Generate data, verify and validate the data, update the model, revisit the data... repeat until the model accurately predicts a real-life phenomenon. This is the research life cycle. Part training, part code-a-thon, part hackathon. Register
May 25–26, 2023 Machine Learning @ TACC The tutorial will help new users to get started with data-driven analysis on supercomputers. Register
Applied Decision Support for Environmental Systems May 11–15, 2026 👤 In-Person Discover how to bridge the gap between computational models and real-world decision-making in this intensive week-long workshop focused on participatory modeling and community- engaged decision support systems. Led by TACC's interdisciplinary team of computational scientists and decision science experts, this hands-on institute teaches practical approaches for integrating scientific models with stakeholder knowledge to address complex environmental challenges. Registration Coming Soon
Curating Large Scale Research Data: Concepts and Action May 18–21, 2026 👤 In-Person This Summer Institute will convene data authors, curators, reusers, and developers to learn about and address data curation challenges of very large and complex datasets originating from experiments, simulations, observations and Al applications. Registration Coming Soon
Practical Machine Learning for Life Science Research June 8–12, 2026 👤 In-Person An immersive dive into machine learning best practices and applications in life sciences. This week-long in-person workshop guides participants through machine learning fundamentals up to cutting edge deep learning tools and methodologies for implementation in life sciences research. Attendees will also gain hands-on experience utilizing TACC's high performance computing (HPC) systems, learn effective techniques to prepare and manage preprocessing of datasets, and learn how to train their own models efficiently and accurately. Registration Coming Soon
Applied Parallel Programming Workshop June 15–19, 2026 👤 In-Person TACC's HPC training includes parallel computing, CUDA programming, MPI (beginner and intermediate), MPI with containers, and other HPC tools as well as hands-on labs using TACC resources. Registration Coming Soon
Scientific Visualization Workshop June 22–24, 2026 👤 In-Person Spend a week with TACC's visualization experts learning how to generate rich, informative visualizations with the power of GPU driven HPC. Registration Coming Soon
Machine Learning Institute July 13–17, 2026 👤 In-Person Join us to explore machine learning! Start with fundamentals, then dive into modern tools, state-of-the-art methods & hands-on exercises. Registration Coming Soon
HPC Leadership July 20–24, 2026 👤 In-Person The High Performance Computing (HPC) Leadership Institute is specifically tailored to managers and decision makers who are using, or considering using, HPC within their organizations. It is also applicable to those with a real opportunity to make this career step in the near future. Topics covered will include procurement considerations, pricing and capital expenditures, operating expenditures, and cost/benefit analysis of adding HPC to a company's or institution's R&D portfolio. A broad scope of HPC is covered from department scale clusters to the largest supercomputers, modeling and simulation to non-traditional use cases, and more. We encourage attendees from all backgrounds, including non-technical, to attend. Registration Coming Soon
What to Expect Instruction on the latest tools, topics, and trends in advanced computing. Hands-on experiences and guided exercises. Presentations on the application of advanced computing technologies from TACC researchers, users, and partners. Opportunities to network with TACC research staff and other attendees.Certificate of Attendance Attendees to TACC Institutes will receive a certificate of attendance with their name, the title of the institute and the dates of the program.Cost The cost of Institutes includes the use of TACC resources, in-person access to experts, and lunch/snacks. Pricing varies for Academic, STAR, and Industry partners.
