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At ORNL, Jeff Smith Becomes Interim Director, as Search for Permanent Lab Chief Continues
January 20, 2023
UT-Battelle, which manages Oak Ridge National Laboratory (ORNL) for the U.S. Department of Energy, has appointed Jeff Smith as interim director for the lab as t Read more…
NSTC Issues New Report on US Quantum Sciences Funding and Priorities
January 12, 2023
The National Science and Technology Council (NSTC) this week released its third annual report on spending and activities supporting the National Quantum Initiat Read more…
From Exasperation to Exascale: HPE’s Nic Dubé on Frontier’s Untold Story
December 2, 2022
The Frontier supercomputer – still fresh off its chart-topping 1.1 Linpack exaflops run and maintaining its number-one spot on the Top500 list – was still v Read more…
2022 Road Trip: NASA Ames Takes Off
November 25, 2022
I left Dallas very early Friday morning after the conclusion of SC22. I had a race with the devil to get from Dallas to Mountain View, Calif., by Sunday. Accord Read more…
2022 Road Trip: Sandia Brain Trust Sounds Off
November 24, 2022
As the 2022 Great American Supercomputing Road Trip carries on, it’s Sandia’s turn. It was a bright sunny day when I rolled into Albuquerque after a high-sp Read more…
ESnet6 Launches, Heralding a New Era in Scientific Networking
October 11, 2022
The launch of ESnet6 was announced at an event at Berkeley Lab this morning. ESnet – short for “energy sciences network” – is managed by Berkeley Lab, f Read more…
GM, National Labs Pave the Way for Next-Gen Vehicles
October 5, 2022
For the better part of a century, General Motors (GM) was the biggest automaker in the world. Now, amid a paradigm shift toward smarter, electrified vehicles, t Read more…
DOE Announces $42M ‘COOLERCHIPS’ Datacenter Cooling Program
September 28, 2022
With massive machines like Frontier guzzling tens of megawatts of power to operate, datacenters’ energy use is of increasing concern for supercomputer operati Read more…
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Whitepaper
A New Standard in CAE Solutions for Manufacturing
Today, manufacturers of all sizes face many challenges. Not only do they need to deliver complex products quickly, they must do so with limited resources while continuously innovating and improving product quality. With the use of computer-aided engineering (CAE), engineers can design and test ideas for new products without having to physically build many expensive prototypes. This helps lower costs, enhance productivity, improve quality, and reduce time to market.
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Sponsored by HPE
Whitepaper
Porting CUDA Applications to Run on AMD GPUs
A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.
This paper describes how Quanta Cloud Technology (QCT), a long-time Intel® partner, developed the Taiwania 2 and Taiwania 3 supercomputers to meet the research needs of the Taiwan’s academic, industrial, and enterprise users. The Taiwan National Center for High-Performance Computing (NCHC) selected QCT for their expertise in building HPC/AI supercomputers and providing worldwide end-to-end support for solutions from system design, through integration, benchmarking and installation for end users and system integrators to ensure customer success.
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