Comet Navigates the Solar Winds

October 7, 2021

Space weather has been getting a lot of attention lately, with research from University College London, the Princeton Physics Plasma Laboratory, the University of Alabama in Huntsville and NASA each getting their own HPCwire headlines over the past year or so for supercomputer-powered... Read more…

Space Weather Prediction Gets a Supercomputing Boost

June 9, 2021

Solar winds are a hot topic in the HPC world right now, with supercomputer-powered research spanning from the Princeton Plasma Physics Laboratory (which used Oak Ridge’s Titan system) to University College London (which used resources from the DiRAC HPC facility). One of the larger... Read more…

Supercomputing Research May Explain Hot Solar Winds

May 18, 2021

Space weather is dangerous. Solar winds, solar flares and ambient space radiation pose serious risks to astronauts and, somewhat more commonly, to the space equ Read more…

Supercomputers Take to the Solar Winds

June 5, 2020

The whims of the solar winds – charged particles flowing from the Sun’s atmosphere – can interfere with systems that are now crucial for modern life, such Read more…

Preparing for Solar Storms

August 26, 2013

It may not be possible to prevent devastating space-weather events like solar storms from reaching the earth's surface, but with enough warning, we can prepare for them. Scientists believe that mapping the earth's magnetosphere – the magnetic shield that stops most but not all of these storms – is the first step. 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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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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