July 15, 2022
The direction that exascale supercomputing will need to follow and the continuing value of visual and other non-computational experts in computer visualizations were the focus of the final two plenary sessions at the PEARC22 conference in Boston on July 13. Jack Dongarra, director of research staff and professor at the Oak Ridge National Laboratory and the University of Tennessee, Knoxville... Read more…
August 12, 2020
Potentially saving datacenters millions of CPU node hours, Intel and the University of Illinois at Urbana–Champaign (UIUC) have collaborated to develop AVX-512 optimizations for the NAMD scalable molecular dynamics code. These optimizations will be incorporated into release 2.15 with patches available for earlier versions. Read more…
May 7, 2020
Ranked the 9th fastest supercomputer in the world as of the November 2019 Top500 list, SuperMUC-NG located at the Leibniz Supercomputing Centre (LRZ) is powerin Read more…
March 15, 2019
NASA is using flow simulations running on its Pleiades supercomputer to help design the agency’s next manned spacecraft, Orion. Crew safety is paramount, s Read more…
October 31, 2018
Industry Program Director Brendan McGinty welcomed guests to the annual National Center for Supercomputing Applications (NCSA) Industry Conference, October 9-11 in Urbana, Illinois. One hundred eighty from 40 organizations registered for the invitation-only, two-day event. The program opened with a keynote address by Steven J. Demuth, Chief Technology Officer at Mayo Clinic. Read more…
October 30, 2018
In preparation for the arrival of Aurora, slated to be the first U.S. exascale supercomputer, Argonne National Laboratory is actively working to make techniques Read more…
April 16, 2018
The MegaMol team at the Visualization Research Center of the University of Stuttgart (VISUS) works each day to empower discoveries in fields like biochemistry, Read more…
August 28, 2017
Intel today introduced the Movidius Myriad X Vision Processing Unit (VPU) which Intel is calling the first vision processing system-on-a-chip (SoC) with a dedic 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.
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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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