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K Computer Runs First Accurate Model of Abrupt Torrential Rain
August 9, 2016
Supercomputers have long been used in weather forecasting but not for abrupt, highly localized events. Now for the first time, a group of researchers using the Read more…
K Computer Simulates Global Seismic Wave Propagation
March 17, 2016
Researchers at the Japan Agency for Marine-Earth Science and Technology (JAMSTEC) reported simulating global seismic wave propagation with a best-ever accuracy Read more…
Details Emerging on Japan’s Future Exascale System
March 18, 2014
The Big Data and Extreme Computing meeting in Fukuoka, Japan concluded recently, pushing a great deal of information about international progress toward exascal Read more…
Japan’s Manufacturers Cozy Up to Supercomputing
January 27, 2014
Beyond a pure passion for technology and the thrill of turning ideas into reality, there is a hugely practical basis for investment in advanced computing. Super Read more…
Floating Funding to Exascale Island
May 9, 2013
The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system... Read more…
A Tale of Two Power Envelopes
April 10, 2012
Increases in the energy efficiency of microprocessors and sensors launched the mobile computing industry, but has left supercomputing users wanting more. Read more…
Working Fast to Slow Things Down
February 13, 2012
Tokyo prof using supercomputers to push the envelope on cancer drugs. Read more…
What I Learned at the International Supercomputing Conference
June 23, 2011
HPC accelerator competition is heating up and Japanese supers are scrambling for watts. 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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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.
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