Associate Vice President For Research Executive Director, TACC
State of the Center Address
Dr. Dan Stanzione, Associate Vice President for Research at The University of Texas at Austin since 2018 and Executive Director of the Texas Advanced Computing Center (TACC) since 2014, is a nationally recognized leader in high performance computing. He is the principal investigator (PI) for several projects including a multimillion-dollar National Science Foundation (NSF) grant to acquire and deploy Frontera, which is the fastest supercomputer at a U.S. university. Dr. Stanzione is also the PI of TACC's Stampede2 and Wrangler systems, supercomputers for high performance computing and for data-focused applications, respectively. He served for six years as the co-director of CyVerse, a large-scale NSF life sciences cyberinfrastructure in which TACC is a major partner. In addition, Dr. Stanzione was a co-PI for TACC's Ranger and Lonestar supercomputers, large-scale NSF systems previously deployed at UT Austin. Dr. Stanzione received his bachelor's degree in electrical engineering and his master's degree and doctorate in computer engineering from Clemson University, where he later directed the supercomputing laboratory and served as an assistant research professor of electrical and computer engineering.
Director, Research Imaging Institute Malcolm Jones Professor of Radiology Professor, Departments of Psychiatry, Neurology, and Physiology The University of Texas Health Science Center at San Antonio
BrainMap Community Portal: A Meta-Connectomics Resource
Dr. Peter Fox is Director of the Research Imaging Institute at UT Health San Antonio and the Malcolm Jones Professor of Radiology. Dr. Fox is appointed as Professor in the Departments of Neurology, Psychiatry and Physiology at UT Health San Antonio. His career research focus is the development and applications of non-invasive imaging methods to advance basic and clinical neuroscience. This research has extended in multiple directions including meta-analytic methods for synthesis of neuroimaging data, imaging biomarker development, and image-guided therapeutics. In this research area, he has published more than 500 peer-reviewed papers that (collectively) have been cited more than 100,000 times (h-index = 142; Google Scholar). In 2000 he was named Fellow of the American Association for the Advancement of Science. In 2009 he was named the Presidential Research Scholar of the UT Health Science Center at San Antonio. In 2018 he was named Outstanding Neuroscientist by the International Society of Neuroscience. In 2021 he received the Glass Brain Award from the Organization for Human Brain Mapping.
Research Scientist, Cyberinfrastructure & Research Support Office of Information Technology, The University of Texas at Dallas
How To Incorporate CI/CD When Your Science Requires HPC
Dr. Georgia Stuart is a Research Scientist in the Office of Information Technology at the University of Texas at Dallas. Dr. Stuart's research interests span many areas of uncertainty quantification in geophysics problems, including seismic inversion and oil spill modeling. Recently, she has been working to incorporate continuous integration and deployment (CICD) practices into high performance computing (HPC) applications, with the goal of increasing developer productivity and scientific reproducibility. Prior to joining UT Dallas, Dr. Stuart was a Peter O'Donnell, Jr. Postdoctoral Fellow at the Oden Institute for Computational Engineering and Sciences. Additionally, Dr. Stuart is passionate about computational science education and outreach and holds positions in the ACM SigHPC Education chapter and the Oden Institute's Diversity, Equity, Inclusion, and Outreach committee. She also works closely with TACC's WeTeach_CS program for K-12 teacher education and outreach.
Postdoctoral Fellow, Department of Astronomy The University of Texas at Austin
Exploring Galaxies in the Early Universe with JWST/CEERS
Dr. Micaela Bagley is a Postdoctoral Fellow in the Department of Astronomy at the University of Texas at Austin. Dr. Bagley studies some of the brightest galaxies in the early universe, using them to learn how galaxies form, evolve, and contribute to ionizing the neutral hydrogen in the intergalactic medium. Dr. Bagley is also involved in several James Webb Space Telescope (JWST) programs, including leading the Near Infrared Camera (NIRCam) team within the Cosmic Evolution Early Release Science (CEERS) survey. Prior to joining UT Austin, Dr. Bagley earned a PhD in Astrophysics from the University of Minnesota.
TACC strives to always improve its policies, practices and resources. We count on the researchers who use our systems to let us know how we can serve you better. Attend the TACCSTER Town Hall to hear some of the changes in store for the center, and for your chance to ask questions and make suggestions to TACC leadership.
Instructors: Anagha Jamthe, Steve Black, Joon Yee Chuah, Gilbert Curbelo, Joe Stubbs
This tutorial will focus on providing attendees exposure to cutting-edge technologies for building reproducible, portable and scalable scientific computing workloads, which can be easily run across Cloud and HPC machines. This tutorial will explain how to effectively leverage state-of-the-art open source technologies such as Jupyter, Docker and Singularity within the NSF-funded Tapis v3 platform, an Application Program Interface (API) for distributed computation. A brief introduction to each of these technologies will be covered in the tutorial, making it easy for audiences with little or no prior experiences to understand the concepts. We will include several hands-on exercises, which will enable the attendees to build a complete scientific workflow that can be seamlessly moved to different execution environments, including a small virtual machine and a national-scale supercomputer. Using techniques covered in the tutorial, attendees will be able to easily share their results and analyses with one or more additional users. This tutorial will make use of a specific machine learning image classifier analysis to illustrate the concepts, but the techniques introduced can be applied to a broad class of analyses in virtually any domain of science or engineering.
Instructors: Erik Ferlanti, John Fonner, Ernesto Lima
Software containers are an important common currency for portable and reproducible computing. Learn best practices on building, using, and sharing Docker and Singularity containers in this hands-on workshop. Also learn how to run those containers on TACC HPC systems, including MPI and GPU aware containers. Topics will include: Docker and Singularity basics, containerizing your own code, running containers at TACC (including MPI parallelism and GPU enabled containers), integration with BioContainers and the module system
Instructor: Lars Koesterke
Effective CUDA code differs from conventional code as it has to reflect and accommodate architectural features of GPUs. In this tutorial I will discuss several key elements of the hardware and the software, i.e. how the execution of a loop matches the grid and block structure of the hardware, how user-managed cache memory is leveraged for speed, and how data is transferred asynchronously from host to device. The tutorial is intended for intermediate-level C/C++ and Fortran programmers who are interested in making the first steps towards CUDA programming for GPUs.
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Wenhan Guo1, Jason E Sanchez1, and Lin Li1,2 1. Computational Science Program, University of Texas at El Paso, El Paso, TX 2. Department of Physics, University of Texas at El Paso, El Paso, TX
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Satwik Dutta1, Dwight Irvin2, Jay Buzhardt2, and John H. L. Hansen1 1. Center for Robust Speech Systems (CRSS), University of Texas at Dallas, Texas - 75080, USA 2. Juniper Gardens Children's Project, The University of Kansas, Kansas - 66045, USA
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Kirill E. Medvedev1, Anna V. Savelyeva2, Aditya Bagrodia2,3, Liwei Jia4, and Nick V. Grishin15 1. Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA 2. Department of Urology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA 3. Department of Urology, University of California San Diego Health, La Jolla, CA 92037, USA 4. Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA 5. Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
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Blake A. Wilson1, Steven O. Nielsen2, Jaona H. Randrianalisoa3, and Zhenpeng Qin14,5,6 1. Department of Mechanical Engineering, University of Texas at Dallas, Richardson, TX 2. Department of Chemistry and Biochemistry, University of Texas at Dallas, Richardson, TX 3. Institut de Thermique, Mécanique, Matériaux, Université de Reims Champagne-Ardenne, Reims, France 4. Department of Bioengineering, University of Texas at Dallas, Richardson, TX 5. The Center for Advanced Pain Studies, University of Texas at Dallas, Richardson, TX 6. Department of Surgery, University of Texas at Southwestern Medical Center, Dallas, TX
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Bagus Hanindhito1, Dimitrios Gourounas1, Arash Fathi2, Dimitar Trenev2, Andreas Gerstlauer1, and Lizy K. John1 1. The University of Texas at Austin, Austin, TX, USA 2. ExxonMobil Technology and Engineering, Annandale, NJ, USA
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Peter Girnt, and Balazs Pinter Department of Chemistry and Biochemistry, University of Texas at El Paso
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Yuntao Yang, Zhao Li, David J. H. Shih, and W. Jim Zheng School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
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Shengjie Sun1, and Lin Li12 1. Computational Science Program, University of Texas at El Paso, 500 W University Ave, TX, 79968, USA 2. Department of Physics, the University of Texas at El Paso, 500 W University Ave, TX, 79968, USA
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Yi-Qian Qian1, Soumya D. Mohanty2, and Yan Wang1 1. MOE Key Laboratory of Fundamental Physical Quantities Measurements, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF, Department of Astronomy and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China 2. Department of Physics and Astronomy, University of Texas Rio Grande Valley, One West University Blvd., Brownsville, Texas 78520, USA
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Shiwei Zhou1, Yujie Chi1, Lifeng Yu2, and Mingwu Jin1 1. University of Texas at Arlington, Arlington, TX 2. University of Texas Southwestern Medical Center, Dallas, TX
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Adly Noore, and William J. Beksi University of Texas at Arlington
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Md Ahmed Al Muzaddid, and William J. Beksi University of Texas at Arlington
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Emily W. Van Buren1, Kelsey Beavers1, Nicholas MacKnight1, Li Wang2, and Laura D Mydlarz1 1. Department of Biology at University of Texas at Arlington 2. Department of Mathematics at University of Texas at Arlington
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Lauri Kytömaa Department of Economics, University of Texas at Austin
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J. Chen1, D. Urbanski2, S. Muralikrishnan3, T. Bui-Thanh14, A. Tenerani2, and F. Waelbroeck2 1. Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, TX 78712, USA 2. Department of Physics, The University of Texas at Austin, Austin, TX 78712, USA 3. Paul Scherrer Institut, 5232 Villigen, Switzerland 4. Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA
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Federico Bernardoni, and Stefano Leonardi UTD Wind, University of Texas at Dallas, Richardson, Texas, USA
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Maria Cotera1, Linda García Merchant2, and Marco Seiferle Valencia3 1. Mexican American and Latina/o Studies, The University of Texas at Austin 2. MD Anderson Library, University of Houston 3. College of Education, Health and Human Sciences (CoEHSS), University of Idaho
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Matthew Frankel1, Charles Werth1, Kerry Kinney1, Lynn Katz1, Corwin Zigler2, and Lina Sela1 1. Department of Environmental and Water Resources of Engineering, University of Texas at Austin 2. Departments of Statistics and Data Science and Women's Health, University of Texas at Austin
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J. G. Yancey1, T. M. Bartol1, A. Wetzel2, J. Carson3, J. M. Mendenhall4, V. Thiyagarajan4, M. Kuwajima4, K. M. Harris4, and T. J. Sejnowski1 1. Computat. Neurobio. Lab., Salk Inst., La Jolla, CA 2. Pittsburgh Supercomputing Ctr., Pittsburgh, PA 3. Texas Advanced Computing Ctr., Austin, TX 4. Ctr. for Learning and Memory, Univ. of Texas at Austin, Austin, TX
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Carlos del-Castillo-Negrete, Benjamin Pachev, and Clint Dawson Computational Hydraulics Group at Oden Institute for Computational Engineering and Sciences, UT Austin
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P. C. Dave P. Dingal Department of Bioengineering, The University of Texas at Dallas
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Maria Larina, Salvi Singh, and Md. Abul Hassan Samee Department of Integrative Physiology, Baylor College of Medicine, Houston, TX
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Mishal Raza, Kamau Kingora, and Hamid Sadat Department of Mechanical Engineering, University of North Texas (UNT), Denton, TX 76207, USA
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Kamau Kingora, Mishal Raza, and Hamid Sadat Department of Mechanical Engineering, University of North Texas (UNT), Denton, TX 76207, USA
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Chase Hutchins, and Alemayehu Gorfe University of Texas Health Science Center Houston Department of Integrative Biology and Pharmacology, UTHealth/MDAnderson Graduate School of Biomedical Sciences
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Anibal Sólon Heinsfeld1, Daniel J. McDonald2, and Franco Pestilli1 1. The University of Texas at Austin, Department of Psychology Center for Perceptual Systems, Austin, TX USA 2. University of British Columbia, Department of Statistics Vancouver, BC, Canada
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Richard Larson, Sahar Bakhshian, and Seyyed A. Hosseini Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, USA
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Zulfidin Khodzhaev1, Emrah Turgut2, and Jean Anne Incorvia1 1. Electrical and Computer Engineering, The University of Texas at Austin, Austin TX, USA 2. TSMC Corporate Research, San Jose, CA 95134, USA
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Francisco Javier Estrella1, and Shyam Shankar2 1. Department of Physics, The University of Texas at Austin 2. Department of Electrical and Computer Engineering, The University of Texas at Austin
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Khushboo Agarwal, Daniel Hardesty Lewis, and Suzanne A. Pierce Texas Advanced Computing Center (TACC), The University of Texas at Austin
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Mehmet Dogan1, Kai-Hsin Liou2, and James R. Chelikowsky1,2,3 1. Center for Computational Materials, University of Texas at Austin 2. McKetta Department of Chemical Engineering, University of Texas at Austin 3. Department of Physics, University of Texas at Austin
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Tanjida Kabir1, Kang-Lin Hsieh1, Luis Nunez-Rubiano2, Yu Cai2, Yu-Chun Hsu1, Juan C. Rodriguez Quintero2, Octavio Arevalo3, Kangyi Zhao4, Jackie Jiaqi Zhang5, Jay-Jiguang Zhu5, Roy F. Riascos2, Xiaoqian Jiang1, and Shayan Shams1,6 1. Center for Secure Artificial intelligence For hEalthcare (SAFE), The University of Texas Health Science Center at Houston, TX 2. Department of Diagnostic and Interventional Imaging, The University of Texas Health Science Center at Houston, TX 3. Department of Radiology, Louisiana State University Health, Shreveport, LA 4. Department of Statistics, University of Pittsburgh, PA 5. Department of Neurosurgery, The University of Texas Health Science Center at Houston, TX and Memorial Hermann at Texas Medical Center, Houston, TX 6. Department of Applied Data Science, San Jose State University, CA
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Dr. Wenrui Chai, Karan Gurazada, and Hanjing Chen The University of Texas at Austin Computational Materials Lab
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B. Caron1, S. Hayashi2, and F. Pestilli1 1. Department of Psychology, University of Texas at Austin 2. Department of Psychological and Brain Sciences, Indiana University Bloomington
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Lokesh Pugalenthi1, Jensen Richardson1, Wenxuan Jiang1, Harish Srinivasan1, Himanshu Reddy1, Jafrin Pritha1, Rahul Nanduri1, Raymond Hong1, Christopher Kuhlman1, Rohit K. Prasad1, Dhivya Arasappan1, and Jeanne Kowalski-Muegge2 1. College of Natural Sciences, University of Texas at Austin, Austin, Tx 2. Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX
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Balaka Mondal, Naoto Hori, Debayan Chakraborty, Hung T. Nguyen, and D. Thirumalai The University of Texas at Austin, USA
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Debayan Chakraborty, and D. Thirumalai The University of Texas at Austin, USA.
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Orune Aminul, and Dimah Dera Department of Electrical and Computer Engineering University of Texas Rio Grande Valley, Brownsville, TX 78520
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Jonathan M. Towne1,2, Vahid Eslami3, P. Mickle Fox1, José E. Cavazos2, Peter T. Fox1,2 1. Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA 2. South Texas Medical Scientist Training Program, University of Texas Health San Antonio, San Antonio, TX, USA 3. Department of Neurology, UCLA Health, Los Angeles, CA, USA
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A.J. Nam1,2, M. Kuwajima2, J.M. Mendenhall2, D.D. Hubbard2, D.C. Hanka2, P.H. Parker2, A. Wetzel3, T.M. Bartol4, T.J. Sejnowski4, W.C. Abraham5, and K.M. Harris2 1. Institute for Neuroscience, University of Texas at Austin, Austin, TX 2. Center for Learning and Memory, University of Texas at Austin, Austin, TX 3. Pittsburgh Supercomputing Ctr., Pittsburgh, PA 4. Computat. Neurobio. Lab., Salk Inst., La Jolla, CA 5. Dept. of Psychology, Univ. of Otago, Dunedin, New Zealand
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Medel B. Lim Suan Jr.1, P. C. Dave P. Dingal1,2 1. Department of Bioengineering, The University of Texas at Dallas 2. Center for Systems Biology, The University of Texas at Dallas
Khushboo Agarwal Jackson School of Geosciences The University of Texas at Austin
Brad Caron Department of Psychology The University of Texas at Austin
Wenhan Guo Computational Science Program The University of Texas at El Paso
Bagus Hanindhito Department of Electrical and Computer Engineering The University of Texas at Austin
Kamau Kingora Department of Mechanical Engineering University of North Texas
Lauri Kytömaa Department of Economics The University of Texas at Austin
Linda García Merchant MD Anderson Library University of Houston
Soumya D. Mohanty Department of Physics and Astronomy The University of Texas at Rio Grande Valley
Md Ahmed Al Muzaddid Department of Computer Science and Engineering The University of Texas at Arlington
Yuntao Yang School of Biomedical Informatics The University of Texas Health Science Center at Houston
