TACC offers various training classes in high performance computing (HPC), scientific visualization (SciVis), distributed and grid computing (DGC), and computational cluster management. TACC training classes teach the programming principles and techniques in HPC and SciVis as well as how to use TACC's high-end systems most effectively. Much of the content in TACC training classes is useful for users using TACC resources as well as their own local systems (e.g. clusters and graphics workstations/PCs).

TACC training classes are free to the UT Austin, UT System, TACC Partner, and Texas Higher Education research communities, participants in the NSF funded XSEDE project, members of the TACC International Partnership in Advanced Computing (IPAC) program, individuals and groups that engage in collaborative research and development activities with TACC, and other public sector organizations. Most levels of the TACC industrial affiliates program, Science and Technology Affiliates for Research (STAR), provide access to all TACC training activities. TACC training classes are also available for a fee to interested persons who are part of the private sector. Please contact for more information about private sector training.

Course Catalog & Materials

To learn more about courses offered by TACC throughout the year, visit the Course Catalog. Lecture slides, labs, and other materials from recent and upcoming courses, can be found at Course Materials. Additional training documents and videos can be found at Training Materials.

TACC Summer Computing Institute

The Institute provides researchers with an intensive introduction to using TACC's computing resources. Senior TACC staff deliver presentations and lead interactive lab sessions focused on using TACC's advanced computing resources and technologies. Information for next summer's workshop will be added to the Summer Supercomputing Institute page as details are finalized. Read about last summer's activities to learn what kind of training and information has been provided in the past.