Top Supercomputers to Shake Up Earthquake Modeling

September 29, 2022

Two DOE-funded projects — and a bunch of top supercomputers — are converging to improve our understanding of earthquakes and enable the construction of more Read more…

Supercomputer Research Uses Earthquakes to Model the Planet

March 31, 2022

The deepest hole ever dug by humans reached just over seven and a half miles into the planet — less than 1/1000th of the Earth’s nearly 8,000-mile diameter. Read more…

Supercomputers Simulate 800,000 Years of California Earthquakes

January 30, 2021

The relative rarity of data from major earthquakes is a double-edged sword: on one hand, it means that major earthquakes are relatively rare, which is good; on Read more…

Supercomputers Just Hosted the Most Detailed Tornado and Earthquake Simulations Ever

August 17, 2020

Even with the pandemic raging, natural disasters are having a busy 2020: tornadoes ravaged Nashville a few months ago; the chances of a new “big one” have d 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.

As the scale and scope of CAE grows, manufacturers need reliable partners with deep HPC and manufacturing expertise. Together with AMD, HPE provides a comprehensive portfolio of high performance systems and software, high value services, and an outstanding ecosystem of performance optimized CAE applications to help manufacturing customers reduce costs and improve quality, productivity, and time to market.

Read this whitepaper to learn how HPE and AMD set a new standard in CAE solutions for manufacturing and can help your organization optimize performance.

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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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Sponsored by AMD

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