Published on September 6, 2016 by Faith Singer-Villalobos
Using a unique computational approach to rapidly sample, in millisecond time intervals, proteins in their natural state of gyrating, bobbing, and weaving, a research team has identified promising drug leads that may selectively combat heart disease, from arrhythmias to cardiac failure.
Published on July 29, 2016 by Faith Singer-Villalobos
As the lead partner for the Scientific Software Collaborative, TACC will oversee a component-based, open-source, extensible framework for gateway design, integration, and services.
Published on July 19, 2016 by Faith Singer-Villalobos
Good news for US researchers working with big data: Starting September 1, they'll have access to Jetstream, the first National Science Foundation (NSF)-supported cloud resource for science and engineering research.
Published on June 2, 2016 by Faith Singer-Villalobos
NSF award to UT Austin builds on success of Stampede supercomputer system and provides additional advanced computational capacity to thousands of researchers
TACC announces that the Lonestar 5 supercomputer is in full production and is ready to contribute to advancing science across the state of Texas. Managed by TACC, the center’s second petaflop system is primed to be a leading computing resource for the engineering and science research community.
Published on November 17, 2015 by Faith Singer-Villalobos
TACC is seeking applications from research teams wishing to participate in the Early Science Program for the “Knight’s Landing” (KNL) upgrade of Stampede to the second generation of the Intel® Xeon Phi™ processor.
Published on November 12, 2015 by Faith Singer-Villalobos
TACC today announced it will enable the academic research community to take advantage of the capabilities of Microsoft’s Project Catapult reconfigurable fabric platform.
Published on October 28, 2015 by Faith Singer-Villalobos
On August 1, work officially started on the National Science Foundation (NSF)-funded Agave Platform, an open ‘Science-as-a-Service’ (ScaaS) cloud platform for reproducible science.
Published on October 21, 2015 by Faith Singer-Villalobos
The DrugDiscovery@TACC portal is currently helping more than 100 researchers worldwide model, simulate and generate data that is laying the foundation for new medicines.
Published on August 11, 2015 by Faith Singer-Villalobos
Partnering with the New Energy and Industrial Technology Development Organization (NEDO), which acts as a Japanese government agency, The University of Texas at Austin will begin using alternative energy sources to power some of its high-performance computers.
Published on July 28, 2015 by Faith Singer-Villalobos
To help investigate and develop a promising cloud computing future, the Computation Institute at the University of Chicago and Argonne National Laboratory and TACC today announced that Chameleon is in full production for researchers across the country.
Published on July 21, 2015 by Faith Singer-Villalobos
A new cyberinfrastructure effort funded by the National Science Foundation will help engineers build safer structures that can better withstand natural hazards such as earthquakes and windstorms.
Published on July 13, 2015 by Faith Singer-Villalobos
TACC is keeping the Lonestar supercomputer legacy alive and well. The center today announces Lonestar5, the second petaflop system deployed at TACC at The University of Texas at Austin’s J.J. Pickle Research Campus.
Published on April 22, 2015 by Faith Singer-Villalobos
TACC, Indiana University, and the University of Chicago today announced that Wrangler, a groundbreaking data analysis and management system, is now in early operations for the open science community. Early users talk about first experiences with innovative new computing resource.
Published on April 20, 2015 by Faith Singer-Villalobos
As the current Ebola outbreak wanes, scientists have to make the most of every opportunity to prepare for future outbreaks. One such opportunity involves the identification of a safe and effective Ebola vaccine. Learn how TACC's Lonestar4 has aided researchers in modelling which types of clinical trials will provide the best information.
