With ISC23 now in the rearview mirror, let’s get back to the results from the ASC23 Student Cluster Competition. In our last articles, we looked at the competition and applications, plus introd …
At the Computex event in Taipei this week, Nvidia announced four new systems equipped with its Grace- and Hopper-generation hardware, including two in Taiwan. Those two are Taiwania 4, powered by …
May 25, 2023
ISC’s closing keynote this year was given jointly by a pair of distinguished HPC leaders, Thomas Sterling of Indiana University and Estela Suarez of Jülich S Read more…
May 25, 2023
As HPC and AI continue to rapidly advance, the alluring vision of nuclear fusion and its endless zero-carbon, low-radioactivity energy is the sparkle in many a Read more…
May 23, 2023
MareNostrum 5, the next-generation supercomputer at the Barcelona Supercomputing Center (BSC) and one of EuroHPC’s flagship pre-exascale systems, has had a di Read more…
May 23, 2023
This year’s International Supercomputing Conference (ISC) kicked off yesterday in Hamburg, Germany, with a keynote from Dan Reed, presidential professor at th Read more…
May 23, 2023
Europe has clearly jumped into the global race to achieve practical quantum, though perhaps a step later (by a year or two) than the U.S. and China. Impressivel Read more…
May 22, 2023
Fresh off their third Top500 win for Frontier – now with an 8.4% higher Linpack score – the HPC team at Oak Ridge National Laboratory had some exciting news to share today. Frontier has passed its acceptance and is taking on grand scientific challenges. “Acceptance of Frontier took place at the... Read more…
May 22, 2023
Intel has finally provided specific details on wholesale changes it has made to its supercomputing chip roadmap after an abrupt reversal of an ambitious plan to Read more…
May 22, 2023
It’s not quite homeostasis, but it's close. There was little movement in the latest Top500, released today from the International Supercomputing Conference (I 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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