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 4, 2022
With climate change dramatically accelerating, scientists continue to struggle to predict the shape of a substantially warmer world. This is particularly true with regard to weather and storms, which – due to the granular, mercurial processes at play – elude climate scientists more than, say, ice melt projections. Recently, a climate study commissioned by the City and County of San Francisco... Read more…
April 28, 2022
Roughly a year ago the National Energy Research Scientific Computing Center (NERSC) launched Perlmutter, which was hailed at the time as the “world’s fastest AI supercomputer” by Nvidia whose GPUs provide much of Perlmutter’s power. Since then, NERSC has been aggressively ramping up its mixed AI-HPC workload capability – software, early science apps... Read more…
March 10, 2022
In this regular feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programmin Read more…
May 27, 2021
A ribbon-cutting ceremony held virtually at Berkeley Lab's National Energy Research Scientific Computing Center (NERSC) today marked the official launch of Perlmutter – aka NERSC-9 – the GPU-accelerated supercomputer built by HPE in partnership with Nvidia and AMD. Read more…
March 6, 2021
Supernovae are perhaps the galaxy’s best fireworks shows, with dying stars’ death rattles coming in the form of unimaginably large explosions. Astrophysicis Read more…
November 25, 2020
Tiering in HPC storage has a bad rep. No one likes it. It complicates things and slows I/O. At least one storage technology newcomer – VAST Data – advocates dumping the whole idea. One large-scale user, NERSC storage architect Glenn Lockwood sort of agrees. The challenge, of course, is that tiering... Read more…
May 1, 2020
The COVID-19 pandemic is producing massive amounts of data – and that data is producing a positive avalanche of academic literature. To help sift through thos 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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