The Texas Advanced Computing Center today announced that Vista, a new AI-centric system, is in full production for the open science community. Funded by the National Science Foundation, Vista marks a departure from the x86-based architecture of ....

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The post Keshav Pingali to Receive ACM-IEEE CS Ken Kennedy Award appeared first on High-Performance Computing News Analysis | insideHPC.

April 17, 2023 — The Argonne Leadership Computing Facility will host a live streamed webinar on digital twins and HPC on Wednesday, April 19 from 3 to 3:40 pm Eastern Time. The webinar will be presented by Karen E. Willcox, director of the Oden Institute for Computational Engineering and Sciences, associate VP for research, and […]

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The post UT Austin’s Scott Aaronson Awarded ACM Price for Work in Quantum appeared first on High-Performance Computing News Analysis | insideHPC.

Researchers at the Cockrell School of Engineering at The University of Texas at Austin have found a way to make the new generation of smart computers more energy efficient. "Traditionally, silicon chips have formed the building blocks of the infrastructure that powers computers. But this research uses magnetic components instead of silicon and discovers new information about how the physics of the magnetic components can cut energy costs and requirements of training algorithms — neural networks that can think like humans and do things like recognize images and patterns."

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Researchers from The University of Texas at Austin and the National Institutes of Health have made a critical breakthrough toward developing a vaccine for the 2019 novel coronavirus by creating the first 3D atomic scale map of the part of the virus that attaches to and infects human cells. "Mapping this part, called the spike protein, is an essential step so researchers around the world can develop vaccines and antiviral drugs to combat the virus. The paper was published Feb. 19 in the journal Science."

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Dr. Omar Ghattas from the University of Texas at Austin has been selected as the recipient of the 2019 SIAM Geosciences Career Prize. He is being recognized for “groundbreaking contributions in analysis, methods, algorithms, and software for grand challenge computational problems in geosciences, and for exceptional influence as mentor, educator, and collaborator.”

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