Supercomputing Helps Explain the Milky Way’s Shape

September 30, 2022

If you look at the Milky Way from “above,” it almost looks like a cat’s eye: a circle of spiral arms with an oval “iris” in the middle. That iris — Read more…

HPC Research Solves the Mystery of the Distant, Oddly Shaped Plasma Jets

May 27, 2021

600 million light years away, massive plasma jets erupt from black holes as galactic clusters crash into one another – and we know this because researchers fr Read more…

Supercomputer Simulations Delve Into Ultra-Powerful Hypernovae

July 23, 2020

When a star goes supernova, it experiences a large increase in brightness and sheds much of its mass through a gigantic explosion. A hypernova is much the same 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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