September 12, 2013
In this age of big data, would it surprise you to learn that supercomputers are on track to predicting wars, revolutions and other societal disruptions? As computers get more powerful and software more sophisticated, the idea might not be so far-fetched. 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…
September 9, 2011
The power of the large shared memory machine, Nautilus has been captured to aid in a research endeavor that uses deep analytics to develop connections between the tone and location of news and the course of future events. We talked to the project's lead, Kalev H. Leetaru about big data analytics at the global scale--and how shared memory systems enable new possibilities for researchers. 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.
© 2023 HPCwire. All Rights Reserved. A Tabor Communications Publication
Reproduction in whole or in part in any form or medium without express written permission of Tabor Communications, Inc. is prohibited.