February 2018

 

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  Artificial Intelligence: A Special Report  
 

Artificial Intelligence: A Special Report

TACC supercomputers help researchers apply machine learning and artificial intelligence to basic and applied science in areas ranging from health and safety to meteorology and cybersecurity. Artificial intelligence is a new approach scientists can use to interrogate data, develop hypotheses, and make predictions, particularly in areas where no overarching theory exists. By contrast, machine learning and deep learning — two subsets of the field of artificial intelligence — take advantage of the availability of powerful computers and very large datasets to find subtle correlations in data and rapidly simulate, test and optimize solutions.

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  Talking Parallel AI with TACC's Zhao Zhang

Zhao Zhang, Research Associate, TACC's Data Mining and Statistics Group

 

Talking Parallel AI with TACC's Zhao Zhang

One of TACC's foremost experts in the application of advanced computing to machine and deep learning discusses current and emerging resources at the center. Zhao received his Ph.D. in Computer Science from the University of Chicago and completed a post-doc at AMPLab and the Berkeley Institute for Data Science (BIDS) at the University of California, Berkeley, before joining TACC.

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  TACC, DOD Work Together to Transform U.S. Manufacturing  

TACC, DOD Work Together to Transform U.S. Manufacturing

TACC is partnering with the U.S. Department of Defense (DOD) to provide researchers with access to advanced computing resources as part of an effort to develop novel computational approaches for complex manufacturing and design problems. Said Dan Stanzione, Executive Director of TACC: "TACC has constructed an unparalleled cyberinfrastructure for engineering and science researchers. Applying this with DARPA in advanced manufacturing will show how higher education computing technologies can transform U.S. manufacturing and provide a competitive edge."

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  TACC, DOD Work Together to Transform U.S. Manufacturing  

The TACC Institute Series

Get ready to learn from the experts at TACC! The TACC Institute Series offers attendees five days of intense, immersive training in advanced computation with topics ranging from developing parallel applications for modern high performance computers to visualizing and analyzing large data sets to executing reproducible experiments in the cloud. Attendees to TACC Institutes will receive a certificate of attendance with their name, the title of the institute, and the dates of the program. Registration coming soon.

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  Science Gateways Bootcamp, May 14-18, 2018 at TACC -- Now accepting applications!  

Science Gateways Bootcamp, May 14-18, 2018 at TACC -- Now accepting applications!

Are you building or developing a science gateway (portal, virtual research environment, digital interface)? If so, the Science Gateways Bootcamp is for you. The boot camp is a week-long workshop for leaders of gateways who want to further develop and scale their work. Participants will engage in hands-on activities to help them articulate the value of their work to key stakeholders and to create a strong development, operations, and sustainability plan. There is no cost to participate. Applications will be accepted through March 23, 2018.

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  Uncovering Decades of Questionable Investments

A research project using the Wrangler supercomputer at TACC sought to understand the dynamics that investors must consider when pricing assets.

 

Uncovering Decades of Questionable Investments

Researchers used TACC's Wrangler supercomputer to uncover the root cause of the 'beta anomaly' — a discrepancy between the expected return on high-risk assets and their actual return. The team found that investors who are attracted to the lottery-like characteristics of these stocks push their prices higher than theory would predict, thereby lowering their future returns. Using Wrangler — a National Science Foundation-supported system built to enable data-driven research nationwide — significantly reduced the group's time-to-solution.

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  Supercomputing More Light than Heat

The Maverick supercomputer at TACC is a dedicated visualization and data analysis resource for remote visualization and GPU computing to the national community.

 

Supercomputing More Light than Heat

TACC's Maverick GPU system is being used to help automate the hunt for better LED and solar cell materials. Scientists have struggled to understand the basic physics of heat loss in LEDs and solar cells for a long time now, especially for materials with molecules of over 20 atoms. A study in the Journal of Physical Chemistry Letters found that recent computational and theoretical developments have enabled the location of defect-induced conical intersections in semiconductor nanomaterials. The findings will help scientists discover next-generation materials for solar cells and LED lights.

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  Blast, Bubble and Brain Injury

(a) Neurons surround by the ECM in the CNS. The region in ECM in the immediate vicinities of neurons are called Perinuronal Net (PNN). The components of PNN are shown in the magnified view (adapted from Fig. 1 of 37) (Permitted reprint) and (b-d) Schematic of pre-, during, and post-collapse bubble.

 

Blast, Bubble and Brain Injury

Researchers from the University of Texas at Arlington used TACC supercomputers to explore the impact of bomb blasts on the perineuronal nets (PNN) area of the brain. They reported in Nature Scientific Reports that bubbles caused by explosions may break hyaluronan, which is the net's main structural component, and damage neurons. In separate research, the team investigated how nanoparticles affect the fragility of ceramic materials used in space shuttles. Writing in the Journal of the American Ceramic Society, they reported that the conventional wisdom that nanoparticles improve results is not guaranteed.

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  South African Student Cluster Challenge Team Visits TACC

South African Student Cluster Challenge Team Visits TACC

Welcome to the 2018 South African Student Cluster Challenge Team! They visited TACC to learn from our mentors, visit our data center, and talk about the upcoming ISC'18 competition, which will take place in June. Best of luck!

  Welcome Alex Hsu and Albert Lu to TACC!

Welcome Alex Hsu and Albert Lu to TACC!

Alex Hsu is a PhD student at UT Austin in Computer Engineering. His research is in hardware architecture design focusing in field-programmable gate arrays (FPGAs). At TACC, his job is to maintain the FPGA Research Infrastructure Cloud (FAbRIC) cluster and to help users with FPGA development.

Albert Lu comes to the center from Stanford University where he used his background in chemistry to support several molecular simulation dynamics research projects. Albert is now part of TACC's HPC Applications group where he will support collaborative projects, install software, and support the center's users. He obtained his PhD in Chemistry in 2010 from UT Austin.

  Work at TACC!

Work at TACC!

Working at TACC means being part of a dynamic and challenging environment, where talented individuals can 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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