MAY 12–13, 2025 TACC Institute | Scientific Visualization Learn how to illustrate your datasets with the power of high performance computing. Register
MAY 19–23, 2025 TACC Institute | Machine Learning in Life Sciences Research An immersive dive into machine learning best practices and applications in life sciences. Register
JUNE 9–10, 2025 WeTeach_CS Summit 2025 Get ready to embark on an unforgettable journey for computer science education! 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
Scientific Visualization May 12 - 13, 2025 👤 In-Person Join our two-day in-person workshop with TACC data visualization experts to learn how to illustrate your datasets with the power of high performance computing. Elevate your research with our in-depth workshop on HPC computing and how you can apply it to your work. In addition, discover your scientific artistry as our visual team illustrates how to turn raw data into compelling visualizations that tell the story of your research. Fundamentals of data visualization Parallel computing CUDA programming MPI (beginner and intermediate) as well as MPI with containers Introduction to Object-Oriented Programming in C++ Overview of the CMake ecosystem for package management Register
Machine Learning in Life Sciences Research May 19 - 23, 2025 👤 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. Core machine learning concepts and best practices Advanced deep learning tools for life sciences research Effective data preprocessing and management techniques Model training on TACC’s high-performance computing (HPC) systems Register
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.