August 12, 2022
The stunning images produced by the James Webb Space Telescope and recent supercomputer-enabled black hole imaging efforts have brought the early days of the un Read more…
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…
May 27, 2021
600 million light years away, massive plasma jets erupt from black holes as galactic clusters crash into one another – and we know this because researchers fr Read more…
November 30, 2020
What we can see and touch are, in the scheme of the universe, relatively minor components, with visible matter and tangible mass constituting just 16 percent of Read more…
November 10, 2020
In 2015, after a century of uncertainty, the Laser Interferometer Gravitational-Wave Observatory (LIGO) first observed gravitational waves from the collision of black holes. A decade prior, a scientist named Carlos Lousto had used the Lonestar supercomputer at the Texas Advanced Computing Center (TACC) to generate a... Read more…
October 6, 2020
The idea of gravitational waves rippling through the fabric of spacetime had been proposed for nearly a century before lightless waves from a collision between Read more…
March 3, 2014
Black holes, so fascinating to star-gazers of the professional and backyard variety, are definitely not empty as their name might imply. Quite to the contrary, Read more…
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.
Two recent studies show how Ansys Gateway powered by AWS can balance run times and costs, making it a compelling solution for automotive development.
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.
To ensure your AI systems are optimized, follow these five essential steps to eliminate bottlenecks and maximize efficiency.
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