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Hyperion Paints a Positive Picture of the HPC Market
November 8, 2022
Return to normalcy is too strong, but the latest portrait of the HPC market presented by Hyperion Research yesterday is a positive one. Total 2022 HPC revenue ( Read more…
Intel Flexing Chip Manufacturing to Minimize Export-control Issues
October 25, 2022
A bill that released close to $50 billion to boost chip production in the U.S. was met with euphoria among chipmakers. But that joy was short-lived when the U.S. this month banned shipment of advanced chips to China. The export controls are meant to choke China’s computing progress by denying access to U.S.-origin chip design software... Read more…
How Intel Plans to Rebuild Its Manufacturing Supply Chain
September 29, 2022
Intel's engineering roots saw a revival at this week's Innovation, with attendees recalling the show’s resemblance to Intel Developer Forum, the company's ann Read more…
US Bars Nvidia and AMD from Selling Top GPUs into China
September 1, 2022
New trade restrictions levied by the United States against China prohibit the sale of cutting-edge HPC and AI technologies from Nvidia and AMD to the world’s second-largest economy. In an SEC filing, Nvidia revealed it was prohibited from exporting its A100 and forthcoming H100 GPUs to China and Russia, effectively immediately. The stated purpose of the licensing requirements is to prevent “military end use” by these nations. Read more…
US Pushes for Expanded Ban on Sale of Chipmaking Equipment to China
July 8, 2022
The supply chain pressures created by the Covid-19 pandemic and the war in Ukraine are pushing nations into increasing conflict on the chipmaking front. Now, the U.S. is ratcheting up the stakes once again, reportedly working to stymie China’s expansion of its chipmaking capabilities by pressuring Dutch firm ASML from selling critical equipment to China. Read more…
Indigenous HPC: What It Means and Why Now
April 5, 2022
Supercomputing has become an indispensable asset for nations' prosperity and security. In this timely Q&A, Hyperion Research Senior Adviser Steve Conway sur Read more…
Jack Dongarra on SC21, the Top500 and His Retirement Plans
November 29, 2021
HPCwire's Managing Editor sits down with Jack Dongarra, Top500 co-founder and Distinguished Professor at the University of Tennessee, during SC21 in St. Louis to discuss the 2021 Top500 list, the outlook for global exascale computing, and what exactly is going on in that Viking helmet photo. Read more…
Three Chinese Exascale Systems Detailed at SC21: Two Operational and One Delayed
November 24, 2021
Details about two previously rumored Chinese exascale systems came to light during last week’s SC21 proceedings. Asked about these systems during the Top500 media briefing on Monday, Nov. 15, list author and co-founder Jack Dongarra indicated he was aware of some very impressive results, but withheld comment when asked directly if he had... 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.
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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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