April 2019

 

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  Peeling Back the Darkness of M87

This image reveals the black hole at the center of Messier 87, a massive galaxy in the nearby Virgo galaxy cluster. The black hole resides 55 million light-years from Earth and has a mass 6.5 billion times that of the sun. Credit: Event Horizon Telescope Collaboration et al.

 
 

Peeling Back the Darkness of M87

TACC is proud to have supported the Event Horizon Telescope collaboration, which this month announced the first ever image of a black hole. Researchers used Stampede2 to model M87 and predict observational features, and Jetstream to develop the cloud-based data analysis pipelines that were used to produce the final image. Work to interpret the results of this major discovery continues with help from TACC supercomputers.

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  New Heart Valve Modeling Technique Enables Customized Medical Care for Patients

A computational model of the heart's mitral valve (MV) pre-surgery. The new imaging technology is so accurate it can be used in a clinical setting to provide patient-specific models so surgeons can tailor treatments for MV diseases on a case-by-case basis.

 

New Heart Valve Modeling Technique Enables Customized Medical Care for Patients

Mitral valve disease is one of the most common valve-related heart conditions, diagnosed in five million Americans each year. Researcher Michael Sacks from UT Austin has developed a new, non-invasive technique for simulating repairs to the heart's mitral valve with levels of accuracy reliable enough for use in a clinical setting. This advance in computational modeling technology will allow surgeons to provide patient-specific treatments, a development that will improve the long-term efficacy of current medical approaches.

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  International Board of Advisors Visits TACC Vislab

TACC's Director of Visualization Paul Navratil gives members of UT Austin's International Board of Advisors a tour of the center's Visualization Lab. Here, they are learning about the constitutional rights in various countries on Lasso, TACC's touch-screen system.

 

International Board of Advisors Visits TACC Vislab

The UT Austin International Board of Advisors meets with university leadership several times a year. This month, they spent part of their visit touring the TACC Vislab. The board consists of alumni who work at companies across the globe in business and industry. They work with UT leadership to provide valuable insight informed by their global perspectives.

 
 
     
 
 
  Brain-Inspired AI Inspires Insights about the Brain (and vice versa)

RosContext length preference across cortex. An index of context length preference is computed for each voxel in one subject and projected onto that subject's cortical surface.

 

Brain-Inspired AI Inspires Insights about the Brain (and vice versa)

Researchers used artificial neural networks to predict with greater accuracy than ever before how different areas in the brain respond to specific words. The work employed a type of recurrent neural network called long short-term memory that includes in its calculations the relationships of each word to what came before to better preserve context. The team relied on powerful supercomputers at TACC to train the recurrent neural network and to run a series of computationally-intensive experiments.

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  Supercomputers Help Supercharge Protein Assembly

Comet (left) at SDSC and Stampede2 (right) at TACC. The scientists required lots of compute power to perform their numerical investigations.

 

Supercomputers Help Supercharge Protein Assembly

A science team from UT Austin and the University of Michigan supercharged proteins — changing the amino acids to give the proteins an artificially high positive or negative charge. Using proteins derived from jellyfish, the scientists assembled a complex 16 protein structure composed of two stacked octamers. The findings were reported in the January 2019 issue of the journal Nature Chemistry. The team then used supercomputer simulations from TACC and the San Diego Supercomputer Center (SDSC) to validate and inform these experimental results.

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  Renewable Sources to Power 1/3 of Frontera  

Renewable Sources to Power 1/3 of Frontera

It's no secret that supercomputers use a lot of power. TACC will employ a number of energy-saving measures to limit the expense and environmental impact of Frontera, our newest supercomputer to launch this year. All told, one-third of the power for Frontera will come from renewable sources.

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  TACC Wants to Hear from You!

TACC Wants to Hear from You!

TACC resources, services, and support enable discovery for researchers and students across the country. What has TACC helped you achieve? TACC would love to hear about your successes so we can highlight your work in reports, publications, and on social media.

Send your story ideas: communications@tacc.utexas.edu

  Welcome Daniel Hardesty Lewis!

Welcome Daniel Hardesty Lewis!

Welcome Daniel Hardesty Lewis to TACC! Daniel is an active member of the NSF-funded Intelligent Systems and Geosciences (IS-GEO) Research Coordination Network. His research contributes to integrated modelling and water resource management within the state of Texas and abroad. Daniel also has experience applying Machine and Deep Learning approaches to problems in the energy sector.

  Work at TACC!

Work @ 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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