June 20, 2020
NASA’s Solar Dynamics Observatory carefully watches our Sun for changes, hoping to better understand how changes in the Sun affect Earth and nearby space. The Read more…
June 5, 2020
The whims of the solar winds – charged particles flowing from the Sun’s atmosphere – can interfere with systems that are now crucial for modern life, such Read more…
October 17, 2019
Solar flares may be best-known as sci-fi MacGuffins, but those flares – and other space weather – can have serious impacts on not only spacecraft and satell Read more…
August 26, 2013
It may not be possible to prevent devastating space-weather events like solar storms from reaching the earth's surface, but with enough warning, we can prepare for them. Scientists believe that mapping the earth's magnetosphere – the magnetic shield that stops most but not all of these storms – is the first step. Read more…
July 16, 2012
Sun Microsystems was an innovator and a leader in high performance computing from the onset of SMP-based servers and powerful workstations. That began to change with the introduction of “LINTEL”- clusters (Linux and Intel X86 servers) over a decade ago. While hindsight can indicate that mistakes - or misjudgments - were clearly made, perhaps on par with Research in Motion’s co-CEO’s now famous dismissal of the iPhone. Read more…
April 28, 2011
The Weekly Top Five features the five biggest HPC stories of the week, condensed for your reading pleasure. This week, we cover the TeraGrid effort to support the Japanese research community; NNSA's 'Supercomputing Week' coverage; Mellanox's new double-duty switch silicon; Platform's latest Symphony; and the Oracle Sun Server-based Sandia Red Sky/Red Mesa supercomputer upgrades. Read more…
January 18, 2011
Univa announced today it would be acquiring the Sun/Oracle Grid Engine engineering expertise from Oracle Corp. In doing so, the company will take over stewardship of the popular open source workload manager, which, in the space of two years, has passed through three companies: Sun Microsystems, Oracle, and now Univa. Its new owners plan to support existing deployments of Grid Engine as well as develop a commercial version with added capabilities. Read more…
April 13, 2010
The 21st century has seen a plethora of supercomputing centers sprouting up across the globe. While the US, Western Europe, and Japan are still the dominant HPC territories, rapidly developing countries such as China, India, Brazil, Russia and Saudi Arabia are quickly ramping up their HPC infrastructures. Of all the regions, though, Africa is still mostly an HPC desert. But in Cape Town, South Africa, the three-year-old Center for High Performance Computing (CHPC) aims to change all that. 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.
Read this whitepaper to learn how HPE and AMD set a new standard in CAE solutions for manufacturing and can help your organization optimize performance.
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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