Texas Advanced Computing Center (TACC)
Higher Education
Austin, Texas 5,856 followers
Powering Discoveries that Change the World
About us
Welcome to the Texas Advanced Computing Center! The Texas Advanced Computing Center (TACC) at The University of Texas at Austin is one of the leading centers of computational excellence in the United States. Since it began supporting researchers in 2001, TACC has expanded at a tremendous rate, both physically and computationally. From a staff of only 15, and one mid-level Cray supercomputer, TACC has grown to more than 150 staff and students, and multiple world-class advanced computing resources including Stampede2, Lonestar5, Hikari, Wrangler, Jetstream, Maverick, Stallion, Stockyard, Corral and Ranch. The center's mission is to enable discoveries that advance science and society through the application of advanced computing technologies. To fulfill this mission, TACC identifies, evaluates, deploys, and supports powerful computing, visualization, and storage systems and software. TACC's staff experts help scientists and educators use these technologies effectively, and conduct research and development to make these technologies more powerful, more reliable, and easier to use. TACC staff also help encourage, educate, and train the next generation of researchers, empowering them to make discoveries that change the world. If you are interested in applying for a position at TACC, taking a tour of our facilities, attending our training courses or classes at The University of Texas at Austin, or performing research with TACC systems, please visit our website: http://www.tacc.utexas.edu.
- Website
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http://www.tacc.utexas.edu
External link for Texas Advanced Computing Center (TACC)
- Industry
- Higher Education
- Company size
- 51-200 employees
- Headquarters
- Austin, Texas
- Type
- Educational
- Founded
- 2001
- Specialties
- High-performance computing, advanced computing systems, data and information analysis, and scientific visualization
Locations
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Primary
J.J. Pickle Research Campus
10100 Burnet, ROC 1.100 (R8700), Bldg. 196
Austin, Texas 78758-4497, US
Employees at Texas Advanced Computing Center (TACC)
Updates
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The TACC team, collaborators, and friends celebrated the new U.S. NSF Leadership-Class Computing Facility at SC24 and much more! Dan Stanzione and Thomas Sterling were honored as HPC Legends based on their contributions to the community over the past 35 years. The NSF Advanced Computing for Social Change program offered opportunities for participants to engage in data visualization and data analysis training using TACC’s Frontera supercomputer to explore social challenges. TACC staff led and participated in workshops and panels covering a wide variety of topics. View highlights! https://bit.ly/3VFzLSd
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Groundbreaking research supported by TACC's Lonestar6 and #NSFfunded Frontera supercomputers on polarons, quasiparticles found in titanium dioxide with potential to lower the cost of solar fuel cell production. Learn more: https://bit.ly/3OSkytc National Science Foundation (NSF) Oden Institute for Computational Engineering and Sciences College of Natural Sciences, The University of Texas at Austin PNAS
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TACC's Frontera supercomputer helps cancer researchers investigate improvement of beam-matched linear accelerators used in radiation therapy through testing the feasibility of a 3D gamma index, which can provide an extra layer of safety for treatment of transferred patients. Learn more: https://bit.ly/3ZJqyKZ
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Scientists made strides in mapping the genetic landscape of autism spectrum disorder, using TACC's Stampede2 and Corral systems for storage and analysis of exome data, which codes for proteins in the genome. The work continues on Stampede3. Learn more: https://lnkd.in/ge7PrXQW. UT Southwestern Medical Center
The genetic landscape of autism spectrum disorder in an ancestrally diverse cohort - npj Genomic Medicine
nature.com
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TACC's Lonestar6 supercomputer helped engineers at The University of Texas at Dallas perform direct numerical simulations of turbulent wave ripples common on the ocean floor, which impact coastal sand and nutrient transport. Learn more: https://bit.ly/3OHpAsg
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As you prepare for the holiday break, don’t forget to submit your application to the Frontera Fellowship! Fellows receive a $34,000 stipend and up to $12,000 in tuition allowance throughout the year. Apply by February 7. Interested? Mark your calendars for a December 5 Frontera Fellowship Q&A session hosted from 3-4 p.m. Central Time via Zoom. Ph.D. candidate and current Fellow Ayodeji Omoniyi studies Chemical Engineering at Stevens Institute of Technology. For Omoniyi's research, Frontera offers a great blend of ease of use and speed. Zoom Q&A: https://bit.ly/49p9YDC Learn more about the Fellowship: https://buff.ly/3GSzyBE
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2021-2022 Frontera Fellow Gurpreet Singh Hora recently had a paper published in AIP Publishing! In "Physics of Fluids," Singh Hora introduces a physics-informed variational autoencoder model that reconstructs realizable three-dimensional turbulent velocity fields from two-dimensional planar measurements. He thanks TACC's Fellowship for its support! Learn more: https://bit.ly/41bdeQD
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Kudos to James Carson, TACC Life Sciences Computing Directorate, on his funding to develop computational models that help identify cancer biomarkers in MRI data. The work joins five other projects recognized by MD Anderson Cancer Center, Oden Institute for Computational Engineering and Sciences, and TACC that will use our systems for cancer research. Learn more: https://bit.ly/4i9obYY.
Six New Cancer Projects Receive Funding in Joint Collaboration Between MD Anderson, Oden Institute and TACC
oden.utexas.edu
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As part of The University of Texas at Austin's Year of AI initiative, TACC's Carol Fletcher participated in "The Education Revolution," a panel featuring experts discussing ways teachers and students are harnessing AI and the challenges these emergent technologies present. Fletcher stressed that both technological advances and caring, inspiring teachers are needed to prepare Texas students for the jobs of tomorrow. Learn more: https://bit.ly/416vdYK