December 29, 2022
Many panels at SC22 focused on how supercomputing centers can help others recover from disasters – but one panel, “Facing the Unexpected: Disaster Managemen Read more…
November 24, 2022
As the 2022 Great American Supercomputing Road Trip carries on, it’s Sandia’s turn. It was a bright sunny day when I rolled into Albuquerque after a high-sp Read more…
June 28, 2022
With the Linpack exaflops milestone achieved by the Frontier supercomputer at Oak Ridge National Laboratory, the United States is turning its attention to the next crop of exascale machines, some 5-10x more performant than Frontier. At least one such system is being planned for the 2025-2030 timeline, and the DOE is soliciting input from the vendor community... Read more…
May 18, 2021
Supercomputing is used to understand the shapes of otherwise-inscrutable processes, from the atomic-level movements of cells to thousand-year trends in the glob Read more…
October 2, 2020
After facing setbacks in its semiconductor execution, including a delay in its 7nm node, Intel is announcing two partnerships with U.S. national labs that reaffirm its commitment to advanced computing: first, a partnership with the DOE and the national labs that focuses on developing next-generation semiconductors and manufacturing techniques; and second... Read more…
October 1, 2020
The three national laboratories (Lawrence Livermore, Los Alamos and Sandia) that support the National Nuclear Security Administration (NNSA) occupy a strange role in the landscape of government-funded research and supercomputing. The NNSA manages the military applications of nuclear science... Read more…
February 24, 2020
A new cooling method for supercomputer systems is picking up steam – literally. After saving millions of gallons of water at a National Renewable Energy Laboratory (NREL) datacenter, this innovative approach, called... Read more…
July 19, 2017
Trinity supercomputer’s two partitions – one based on Intel Xeon Haswell processors and the other on Xeon Phi Knights Landing – have been fully integrated 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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