Many panels at SC22 focused on how supercomputing centers can help others recover from disasters – but one panel, “Facing the Unexpected: Disaster Management Capabilities,” focused mainly o …
Every year, SC has a theme. For SC22 – held last week in Dallas – it was “HPC Accelerates”: a theme that conference chair Candace Culhane said reflected “how supercomputing is continuou …
• SC Conference Chair Candace Culhane
• TACC’s Vision for Leadership Computing
• Talking Carbon-free HPC with Lancium
• Frontier: From Exasperation to Exascale
November 18, 2022
One of the original RISC-V designers this week boldly predicted that the open architecture will surpass rival chip architectures in performance. "The prediction is two or three years we'll be surpassing your architectures and available performance with... Read more…
November 12, 2022
It’s only 25 miles from NCAR to NREL, so I have time to gas up, get a sandwich, and even catch a car wash before my tour stop at NREL. Feeling refreshed, I pu Read more…
November 8, 2022
Everyone knows about the workforce challenges in high-performance computing. Whether from the candidate’s point of view or from the perspective of the academic, lab and vendor institutions, it's important to find the right fit. SC22, which takes place next week (Nov. 13-18) in Dallas, is hosting a job fair to help make these career connections. Read more…
November 5, 2022
The 2022 Great American Supercomputing Road Trip started in fine style with my first stop at Pacific Northwest National Lab in Richland, Washington – about 250 miles from home base. This was my first visit to the lab and I came away highly impressed by their ambitious projects plus the range and depth of their work. In total... Read more…
September 28, 2022
ISC 2022 was back in person, and the celebration was on. Frontier had been named the first exascale supercomputer on the Top500 list, and workshops, poster sess Read more…
September 18, 2022
Albert Einstein famously described quantum mechanics as "spooky action at a distance" due to the non-intuitive nature of superposition and quantum entangled par Read more…
September 7, 2022
The ACM Gordon Bell Prize, which comes with a $10,000 award courtesy of HPC luminary Gordon Bell, is widely considered the highest prize in high-performance com Read more…
August 19, 2022
Next month the AI Hardware Summit returns to the Bay Area, bringing AI technologists and end users together to share ideas and get up to speed on all the latest AI hardware developments. The event – which takes place September 13-15, 2022, at the Santa Clara Marriott, Calif. – will be co-located with the Edge AI Summit. Both events are organized by... Read more…
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.
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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