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…
June 2, 2020
Indiana University has been awarded a $10 million NSF grant to build ‘Jetstream 2,’ a cloud computing system that will provide 8 aggregate petaflops of comp Read more…
February 20, 2020
With water stressors on the rise, understanding and protecting water supplies is more important than ever. Now, a team of researchers from Indiana University ha Read more…
January 24, 2020
After six months of celebrations, Indiana University (IU) officially marked its bicentennial on Monday – and it saved the best for last, inaugurating Big Red Read more…
February 27, 2017
The US advances in high performance computing over many decades have been a product of the combined engagement of research centers in industry, government labs, Read more…
August 31, 2016
Jetstream, the expansive NSF-funded cyberinfrastructure project intended in large measure to serve the long tail of science will officially launch tomorrow (9/1 Read more…
May 21, 2015
Improving HPC access to the so-called long tail of science is an ongoing NSF priority. Several initiatives, funded at least in part by NSF, are underway and one Read more…
August 22, 2013
The National Center for Genome Analysis Support (NCGAS) at Indiana University has expanded its services to help biologists use high-performance computing, NCGAS’ manager announced at a July 23 presentation at the XSEDE13 conference in San Diego. 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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