Harris, a professor in the Department of Neuroscience at the University of Texas at Austin, will use the funding to image and map connections between neurons in the brain, known as synapses, in microscopic detail. She also aims to gain a better understanding of the cell biology of the nervous systems, and to model synapse function.
Published on July 28, 2017 by Sebastian Herrera, Austin American-Statesmen
At the University of Texas, supercomputing technology is expanding in ways few competitors can match. This was evident on Friday, when UT officials, including President Greg Fenves, dedicated a new supercomputer at the J.J. Pickle Research Campus.
Since then the two nations have worked together on a variety of projects, including energy and climate research. Now, however, there is another goal that each country is working towards: The pursuit of exascale computing.
Thirty-four high school students from mostly low-income Title I schools in Central Texas, some from as far away as Houston, said good-bye to their families.
As methods for studying and comparing genetic data improve, scientists are beginning to decode these marks to reconstruct the evolutionary history of species, as well as how variants of genes give rise to unique traits.
It is a time of interesting architectural shifts in the world of supercomputing but one would be hard-pressed to prove that using the mid-year list of the top 500 HPC systems in the world. We are still very much in an X86 dominated world with the relatively stable number of accelerated systems to spice the numbers, but there are big changes afoot—as we described in depth when the rankings were released this morning.
From the beginning, TACC has taught the basics of high performance computing (HPC) and scientific visualization. One of the center's goals has always been to inspire and educate the next generation of computational scientists and technologists, and that mission has taken a leap forward with the re-designed TACC Institutes, launched this spring.
Published on May 23, 2017 by Austin American-Statesman
A year later, Tom went into the hospital after a fall. A different physician noted his neurological condition and prescribed the drug from the year before. Tom had another reaction — this time, it was fatal. All the while, information warning of the drug’s risks for Tom was locked in a doctor’s office, unavailable to the hospital.
Our bodies are made of biomolecules like proteins, nucleic acids, fats and sugars. These biomolecules are folded into specific 3D structures—predetermined by the DNA and RNA sequences that build them—which allows them to do everything they need to do in our bodies.
Researchers are using the Stampede Supercomputer, stationed at the Texas Advanced Computing Center, to teach a machine-learning algorithm that can sift through diverse data sets and potentially predict which patients are at risk of developing depression and anxiety.
Researchers are using the Stampede supercomputer to design novel, fuel-efficient, wing designs for jets, and to develop tools that can help the industry build more efficient aircraft. The researchers are exploring wings with longer spans, made of complex composites and that morph during flight.
Dan Stanzione, executive director of the Texas Advanced Computing Center, shares his insight on the future of high performance computing and the challenges faced by institutions as the demand for HPC, cloud and big data analysis grows.
Published on February 16, 2017 by National Science Foundation
Researchers at the Texas Advanced Computing Center, The University of Texas Health Science Center and Philips Healthcare have developed a new, automated platform capable of returning in-depth analyses of MRI scans in a matter of minutes, rather than hours or days.
In the next 10 years you are going to see some form of autonomous or connected vehicles on the streets. Natalia Ruiz-Juri, a research associate with The University of Texas at Austin’s Center for Transportation Research (CTR) is fairly certain of this.
Much of the data of the World Wide Web hides like an iceberg below the surface. The so-called 'deep web' has been estimated to be 500 times bigger than the 'surface web' seen through search engines like Google.
In research reported in the International Journal of Cardiology this month, scientists from Johns Hopkins University and Ohio State University presented a new method for predicting those most at risk for thrombus, or blood clots, in the heart.
Published on January 17, 2017 by by National Science Foundation
New study results help answer a longstanding mystery about why the thermal conductivity of amorphous silicon dioxide, commonly known as glass, rises with temperature. The research--done using the Stampede supercomputer at the Texas Advanced Computing Center--shows how heat transport works at the smallest scales.
