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…

Supercomputers Put Charge into Battery Research

May 12, 2010

The idea of using lithium-air batteries to power electric cars has been around since the 1990s, but the last few years has seen a big upsurge in interest for this technology. Oil supply concerns, global climate change, and a general discontent with the internal combustion engine are driving the search for more robust batteries, and lithium-air is at the top of the list. 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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