Enabling Discoveries That Advance Science and Society Through Advanced Computing Technologies

The Texas Advanced Computing Center (TACC) designs and operates some of the world's most powerful computing resources.

Getting Started
Tour in TACC's Machine Room

Create an Account

Fill out the account request form on the TACC Account Management Portal and it will be reviewed by our User Services team.

Faculty, professional research staff, and postdoctoral researchers may request Principle Investigator (PI) eligibility for their account. PIs are responsible for requesting system allocations and managing their team.

Graduate and undergraduate students can create an account, but must be added to allocations by PIs to use the systems.

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Request an Allocation

To access a system, you must request through an allocation opportunity.

Browse the System List, Allocations, and Software List to help determine what system and allocation fits your research.

If you are a PI, log into your account and request an allocation on the system that fits your research needs.


System Status


TACC's documentation provides a detailed and comprehensive resource for our high-performance computing systems. Find information on hardware, software, tutorials, and best practices. Discover how TACC can help advance your research and computational goals.

TACC Documentation

User Updates

Frontera System Maintenance Tuesday 11 June

Frontera will not be available from 8:00 AM to 7:30 PM (CDT) on Tuesday, 11 June 2024. System maintenance will be performed during this time.Please submit any questions you may have via the TACC User Portal.https://tacc.utexas.edu/portal/tickets

Frontera Texascale Days - June 2024

Texascale Days allows participating researchers the space and time to compute some of their biggest data and consult with our experts on benchmarking and optimizations. During this event, we reserve Frontera for large scale runs using half of the system (3500 - 4096 nodes) or the full system (7000 - 8192 nodes) for participants.This year, the event is being begins June 12th, 2024.Want to Participate?To be eligible to participate in Texascale Days June 2024, your large scale workflow must have already successfully run on at least 2,048 nodes in the "large" queue on Frontera.For access to the Frontera "large" queue, please submit a ticket with scaling data.To request to participate, please fill out and submit the application below by 5:00 PM CDT May 31st.On Wednesday, June 12th, two hour blocks will be available for large-scale benchmarking efforts.Beginning Thursday June 13th, Frontera will be reserved for Texascale Days production runs. On these days, each project will have dedicated access to the number of nodes requested for a 24 hour period starting at 10:00 CDT.APPLICATION LINK: https://forms.gle/ed67KnbhbQr5kJTN9

Register for TACC's Summer Institutes!

Register now for TACC's Summer Institutes!  Each event provides time on TACC resources alongside TACC's experts to explore new concepts and develop your skills and research. High Performance Computing and Scientific Visualization Institute On site at TACC Monday, July 8 - Friday, July 12 9AM – 4PM CST - MPI, CUDA, OpenMP, and other HPC topics - Hands-on labs using TACC resources - Connect with HPC experts to discuss algorithms, implementations, and programming models  - Exploration of techniques using the parallel visualization package Paraview Learn more and register: https://cvent.utexas.edu/29NlZ5 Machine Learning Institute On site at TACC Monday, July 15 - Friday, July 19 9AM – 4PM CST - Fundamentals and theory of AI, machine learning and deep learning techniques with Python libraries - AI, machine learning and deep learning workflows at scale on HPC systems - Advanced topics including Large Language Models, Reinforcement Learning - Advanced visualization for AI Learn more and register: https://cvent.utexas.edu/KBDWll  Please visit TACC's training page: https://tacc.utexas.edu/use-tacc/training/

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Training & Events

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Byte Size Basics

A collection of easily digestible discussions on a variety of training topics.