COVID-19 Updates From TACC: Plans are in place at TACC to continue providing normal support for computing operations. We don't anticipate any interruption in the availability of computing resources or user support staff due to the COVID-19 situation.

Upcoming & Archived Training

Frontera leverages TACC and its partners’ innovative approach to education, outreach, and training to encourage, educate, and develop the next generation of leadership-class computational science researchers.

Getting Started

A brief overview of system plans and the broader project that surrounds it, the architectural design choices, and a discussion of application community that will run on it.

Welcome to Frontera

 

STATUS LOAD RUNNING QUEUED
  Operational - - -

Early Science

Frontera supports research across all areas of science. The following are early user successes on the system.
Improving Cancer Treatment with Frontera
Building a Sunnier Energy Future
Teaching Neural Networks Quantum Chemistry

 

Understanding cataclysmic events in the distant universe
Eradicating Emerging Viruses
Taming Turbulent Flows With Frontera

 

More Science on Frontera

Early-science teams are currently collaborating with the Frontera project team to prepare and port scientific codes to compute at the largest scale. The early-science allocations support science and engineering research that would not otherwise be possible without access to this unique new leadership-class computing capability. Lessons learned from Frontera early-science users will be incorporated into future operational support for the system.

Diego Donzis
Texas A&M University

Beyond incompressible phenomenology: mixing in compressible turbulent flows

Manuela Campanelli
Rochester Institute of Technology

Collaborative Research: Curvilinear and Multipatch Methods for General Relativistic Astrophysics in the Gravitational Wave Era

Alyson M. Brooks
Rutgers University

Looking Out for the Little Guy: A Comprehensive Study of Star Formation in Dwarf Galaxies

John E. Vidale
University of Southern California

Southern California Earthquake Center: Research Program in Earthquake System Science, 2017-2022

Tiziana Di Matteo
Carnegie Mellon University

Quasars and Large Scale Structure: Gigaparsec-scale simulations confront Large Survey Data

Shantenu Jha
Rutgers University

SI2-SSE: RADICAL Cybertools: Scalable, Interoperable and Sustainable Tools for Science
 

Cheng-Chien Chen
The University of Alabama at Birmingham

RII Track-4: Big Data and Massive Computation Approaches to Non-Equilibrium Dynamics of Strongly Correlated Materials

Kimberly Prather
University of California, San Diego

NSF Center for Aerosol Impacts on Chemistry of the Environment