August 28, 2018
China has embarked on a $145 million (~ ¥1 billion) effort to build a superconducting computer with plans for a prototype to be up and running as early as 2022 Read more…
May 6, 2015
Computer scientists worried about the end of computing as we know it have been banging heads for several years looking for ways to return to the historical expo Read more…
May 12, 2014
You don't need to be a mathematician to appreciate the beauty and elegance of fractal geometries, those infinitely complex patterns that are self-similar across Read more…
May 5, 2014
Bioengineers at the University of Stanford have developed a new type of circuit board modeled on the human brain. The Neurogrid, as it's called, operates about Read more…
September 17, 2013
David Brown, the director of the Computational Research Division at Lawrence Berkeley National Laboratory, explores the deep connection between mathematics and modern computer science. Read more…
May 23, 2013
In quieter times, sounding the bell of funding big science with big systems tends to resonate further than when ears are already burning with sour economic and national security news. For exascale's future, however, the time could be ripe to instill some sense of urgency.... Read more…
May 22, 2013
In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about.. Read more…
March 28, 2012
Grace Hopper came up with COBOL and designed some of the first digital computers. 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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