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July 2021


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"TACC is uniquely Texan and uniquely UT Austin. They're a national exemplar of innovation, passion, and leadership in computing. They've done it in their own way. I think the country is all the richer for that, and science as well."

– Irene Qualters, Associate Lab Director, Los Alamos National Lab; former Senior Science Advisor,
Computing and Information Science and Engineering Directorate, National Science Foundation

  TACC's Dan Stanzione Selected to Serve on National AI Task Force

TACC's Stampede2 supercomputer helped prove that RNA genes play a role in cells and tissues and are not byproducts of other cellular processes.


RNA Atlas Assembles Comprehensive Knowledge on Human Transcriptome

An international team of researchers completed one of the most comprehensive catalogs ever built of the human transcriptome, the set of all RNA transcripts. Their five-year project unraveled the complexity of the human transcriptome, studied disease processes, and uncovered novel genes that might serve as therapeutic targets or biomarkers.

  Machine Learning Aids Earthquake Risk Prediction

Sink holes and liquefaction on roads in Christchurch, New Zealand, after the 2011 earthquake. Credit: Martin Luff via Wikipedia Commons.


Machine Learning Aids Earthquake Risk Prediction

Researchers developed a machine learning model to predict the amount of soil movement that can be expected during a natural hazard event, such as an earthquake. Their model, which was trained and tested on the Frontera supercomputer at TACC, was 70% accurate at determining the amount of soil displacement during the 2011 Christchurch earthquake.

  Supercomputers Help Reveal Dynamic Plastic-Eating Duo

NREL scientists Erika Erickson (left) and Brandon Knott (right), who co-authored the study in the Proceedings of the National Academy of Sciences. Credit: NREL.


Supercomputers Help Reveal Dynamic Plastic-Eating Duo

Scientists at the National Renewable Energy Laboratory (NREL) recently discovered a two-enzyme system that biodegrades PET plastic, commonly found in single-use water bottles and other products. Stampede2 simulations revealed synergy in the reaction mechanism of the enzymes. The scientists hope their research can inspire future strategies for plastic upcycling.

  Panama President Visits TACC Visualization Lab

Left to Right: Juan Carlos Sosa, Vice Minister of Foreign Trade; Melyssa Fratkin, TACC; President Laurentino Cortizo; José Alejandro Rojas, Minister of Private Investment.


Panama President Visits TACC Visualization Lab

TACC was honored by an in-person visit from President Laurentino Cortizo of the Republic of Panama. Industrial Programs Director Melyssa Fratkin gave the guests a tour, including information on TACC's work to fight COVID-19 and our international collaborations with Portugal and South Africa.

  COVID Gets Quantum Treatment for Drug Discovery

This illustration shows the process of protein structure preparation and fragmentation for quantum chemical docking refinement. Credit: Stephan Irle, ORNL.


COVID Gets Quantum Treatment for Drug Discovery

Oak Ridge National Laboratory researchers are using Stampede2 system to help refine the screening of potential drug molecules against COVID-19. The quantum mechanics-based ranking refinement and binding analysis narrowed the most promising drug compounds for further study from 3,000 to 100. Computer time was granted by the HPC COVID-19 Consortium.

  Using AI to Predict 3D Printing Processes

Melt pool shape and the temperature and melt pool flow velocity predicted by a physics-informed neural network (PINN). Credit: Qiming Zhu, Zeliang Liu, Jinhui Yan.


Using AI to Predict 3D Printing Processes

Engineers from the University of Illinois are using physics-informed neural networks to predict the outcomes of additive manufacturing processes. The researchers trained the model on TACC's Frontera and Stampede2 supercomputers using experimental and simulated data. Their method could provide fast prediction and design tools for additive manufacturing in the future.

  TACC Wins

TACC Wins "Best Paper" at PEARC21 Conference

Congratulations to TACC's HPC and User Services groups on winning "Best Full Paper for the Applications and Software Track" at the PEARC21 conference! The paper is titled: "Practice Guideline for Heavy I/O Workloads with Lustre File Systems on TACC Supercomputers". Authors: Si Liu, Lei Huang, Hang Liu, Amit Ruhela, Virginia Trueheart, Susan Lindsey and Quan Yuan.

  TACC 2021 ‘Virtual' Summer Institute Series

TACC 2021 ‘Virtual' Summer Institute Series

The TACC Summer Institute Series offers attendees intense, immersive training in advanced computation. Topics range from developing parallel applications for HPC to visualizing and analyzing large data sets to administering advanced computing systems. Learn more!

  Work at TACC!


Working at TACC means being part of a dynamic and exciting environment, where talented individuals pursue their interests, engage their imaginations, and work at the forefront of computational research. Working with us also means living in Austin, an exceptional city that thrives on innovation, culture, and creativity.


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