June 14, 2016
Ahead of ISC 2016, taking place in Frankfurt, Germany, next week, HPCwire reached out to Paul Messina to get an update on the deliverables and timeline for the United States' Exascale Computing Project. The ten-year project has been charged with standing up at least two capable exascale supercomputers in 2023 as part of the larger National Strategic Computing Initiative launched by the Obama Administration in July 2015. Read more…
April 28, 2016
The Information Technology and Innovation Foundation (ITIF), a Washington D.C. think tank with close ties to the Office of Science and Technology Policy and government broadly, today released an expansive report – The Vital Importance of High- Performance Computing to U.S. Competitiveness – and also held a panel to discuss the report’s recommendation. Noteworthy, many of the panelists are familiar names in the HPC community. Read more…
February 19, 2016
Come early March, grants worth $300,000 are up for grabs for manufacturers giving year-long access to national lab supercomputing cycles and half the staff hour Read more…
November 24, 2015
If you were hoping for a glimpse into the National Strategic Computing Initiative implementation (NSCI) plan last week while at SC15, you were out of luck. A dr Read more…
November 15, 2015
Not surprisingly Tim Carroll is unambiguous about whether HPC is ready for the cloud. It absolutely is says Carroll. He is, after all, VP of Sales and Ecosystem Read more…
August 27, 2015
Five senior executives from Cray, HP, IBM, Intel and SGI weigh in on the new National Strategic Computing Initiative’s (NSCI) prospects in this exclusive HPCw Read more…
August 6, 2015
“In order to maximize the benefits of HPC for economic competitiveness and scientific discovery, the United States Government must create a coordinated Federa Read more…
July 30, 2015
Yesterday’s executive order by President Barack Obama creating a National Strategic Computing Initiative (NSCI) is not only powerful acknowledgment of the vit 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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