September 23, 2021
As Moore’s law slows, HPC developers are increasingly looking for speed gains in specialized code and specialized hardware – but this specialization, in turn, can make testing and deploying code trickier than ever. Now, researchers from Texas A&M University, the University of Illinois at Urbana... Read more…
November 20, 2020
A new record for HPC scaling on the public cloud has been achieved on Microsoft Azure. Led by Dr. Jer-Ming Chia, the cloud provider partnered with the Beckman I Read more…
June 3, 2020
NSF has awarded the National Center for Supercomputing Applications (NCSA) $10 million for its next supercomputer - named Delta – “which will kick-start NCS Read more…
September 20, 2016
Throughout the past year, the National Center for Supercomputing Applications has been celebrating its 30th anniversary. On Friday, Larry Smarr, whose unsolicited 1983 proposal to the National Science Foundation (NSF) begat NCSA in 1985 and helped spur NSF to create not one but five national centers for supercomputing, gave a celebratory talk at NCSA. Read more…
August 7, 2013
Thanks to a number of high-performance computing resources in the NSF’s XSEDE network, research by investigators at Cornell University and the University of Illinois at Urbana-Champaign is profoundly changing how regulatory authorities and researchers monitor the major U.S. stock exchanges. Read more…
May 12, 2011
The first international effort to bring climate simulation software onto the next-generation exascale platforms got underway earlier this spring. The project, named Enabling Climate Simulation (ECS) at Extreme Scale, is being funded by the G8 Research Councils Initiative on Multilateral Research and brings together some of the heavy-weight organizations in climate research and computer science, not to mention some of the top supercomputers on the planet. 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.
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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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