February 26, 2020
While not the novel coronavirus that is now sweeping across the world, the 2009 H1N1 flu pandemic (pH1N1) infected up to 21 percent of the global population and Read more…
January 28, 2020
The new year marked a somber milestone for the planet: 2019 turned out to be the second-hottest year on record (inched out only by 2016, which was hotter by 0.0 Read more…
November 27, 2019
In this bimonthly feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programming to exascale to quantum computing, the details are here. Read more…
October 30, 2019
Near Munich, at the Leibniz Supercomputing Centre, magnificent work was afoot. The researchers (a team from Leibniz, Intel and the Australian National Universit Read more…
October 9, 2019
Offshore wind farms offer a number of benefits; many of the areas with the strongest winds are located offshore, and siting wind farms offshore ameliorates many of the land use concerns associated with onshore wind farms. Some estimates say that, if leveraged, offshore wind power... Read more…
August 20, 2019
With advanced imaging and satellite technologies, it’s easier than ever to see a galaxy – but understanding how they form (a process that can take billions Read more…
August 19, 2019
Shockwaves play roles in everything from high-speed aircraft to supernovae – and now, supercomputer-powered research from the Texas A&M University and the Read more…
March 29, 2018
In a series of challenging high performance computing applications in the life sciences, UberCloud’s HPC containers have been packaged recently with several scientific workflows and application data to simulate complex phenomena in human’s heart and brain. Read more…
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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