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TACC Supercomputing Powers Climate Modeling for Fisheries
January 28, 2023
A tremendous portion of the world depends on the output of the oceans’ major fisheries, which have, in recent decades, found themselves under near-constant th Read more…
More Details on ‘Half-Exaflop’ Horizon System, LCCF Emerge
September 26, 2022
Since 2017, plans for the Leadership-Class Computing Facility (LCCF) have been underway. Slated for full operation somewhere around 2026, the LCCF’s scope ext Read more…
Supercomputing an Image of Our Galaxy’s Supermassive Black Hole
May 13, 2022
A supermassive black hole called Sagittarius A* (yes, the asterisk is part of it!) sits at the center of the Milky Way. Now, for the first time, we can see it. The resulting direct image of Sagittarius A*, revealed this week, was made possible by the Event Horizon Telescope (EHT) array and the Frontera supercomputer at the Texas Advanced Computing Center (TACC). The EHT array includes a selection of eight radio telescopes... Read more…
TACC Looks to ‘Horizon’ System for Its Leadership-Class Computing Facility
April 14, 2022
During a talk for the Ken Kennedy Institute’s 2022 Energy High Performance Computing Conference, Dan Stanzione, executive director of the Texas Advanced Compu Read more…
Supercomputers Delve Into Underwater Mystery
April 8, 2022
The inner workings of the Earth shape the continents and islands we know on the surface — but many of the inner workings of the planet remain a mystery to eve Read more…
Supercomputer Research Uses Earthquakes to Model the Planet
March 31, 2022
The deepest hole ever dug by humans reached just over seven and a half miles into the planet — less than 1/1000th of the Earth’s nearly 8,000-mile diameter. Read more…
Argonne Supercomputer Powers Air Travel Covid-19 Research
March 9, 2022
The world is (once again) returning to some semblance of pre-pandemic life as the omicron variant wanes. Many are now wondering about the risk calculus for popu Read more…
Five Supercomputers Help Model Crucial Elements of HIV-1
February 25, 2022
The Covid-19 pandemic has brought into sharp relief how small elements of a virus can play a crucial role in combating it with therapeutic drugs and vaccines. I Read more…
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Powering Up Automotive Simulation: Why Migrating to the Cloud is a Game Changer
The increasing complexity of electric vehicles result in large and complex computational models for simulations that demand enormous compute resources. On-premises high-performance computing (HPC) clusters and computer-aided engineering (CAE) tools are commonly used but some limitations occur when the models are too big or when multiple iterations need to be done in a very short term, leading to a lack of available compute resources. In this hybrid approach, cloud computing offers a flexible and cost-effective alternative, allowing engineers to utilize the latest hardware and software on-demand. Ansys Gateway powered by AWS, a cloud-based simulation software platform, drives efficiencies in automotive engineering simulations. Complete Ansys simulation and CAE/CAD developments can be managed in the cloud with access to AWS’s latest hardware instances, providing significant runtime acceleration.
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Five Recommendations to Optimize Data Pipelines
When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.
With so many applications and diverse requirements for data types, management systems, workloads, and compliance regulations, these challenges are only amplified. Without a clear, continuous flow of data throughout the AI data lifecycle, AI models can perform poorly or even dangerously.
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