Corral: Celebrating 100 Diverse Data Collections

TACC's high-performance storage system serves scientists and their "Big Data" needs


Published on October 3, 2013 by Aaron Dubrow

Corral Data Collections: Engineering

Engineering on Corral

Center for Predictive Engineering and Computational Sciences

The Center for Predictive Engineering and Computational Sciences (PECOS) is a Department of Energy-funded Center of Excellence within the Institute for Computational Engineering and Sciences (ICES) at The University of Texas at Austin. The goal of PECOS is to develop the next generation of advanced computational methods for predictive simulation of multiscale, multiphysics phenomena, and to apply these methods to the analysis of vehicles reentering the atmosphere. Researchers store the data from their simulations on Corral to compare different models and better assess the role of uncertainty in numerical simulation. The researchers are expecting this collection to grow to 200 terabytes of persistent storage in 2013.

A visualization of turbulent channel flow derived from direct numerical simulations performed on Department of Energy supercomputers. The researchers use Corral to house the extremely high-fidelity turbulence data. The data was then post-processed on TACC resources, such as Longhorn and Stampede, to generate images such as this.

"The unprecedented access to large volumes of storage space on Corral, coupled with the state-of-the-art visualization and post-processing clusters available at TACC, has enabled us to investigate interesting features of turbulent flows more rapidly than ever before."

Nicolas Malaya
Researcher, Institute for Computational Engineering and Sciences
The University of Texas at Austin
http://pecos.ices.utexas.edu/


Back to overview | Next collection