June 21, 2013
To wrap up ISC, we wanted to collect some general visualized trends from this year's rankings. In this visual feature, we've provided information on operating systems, key vendors, processor and interconnect technologies and more. While there are a million ways to analyze the... Read more…
June 21, 2011
IDC presented its overview of the market for high performance computing at the International Supercomputing Conference in Germany this week. Tom Tabor reflects on these trends and predictions in this post from Hamburg. Read more…
November 19, 2010
To say the market share for HPC interconnects is imbalanced is a rather dramatic understatement since the vast majority of business is driven by Mellanox. However, there are a few emerging competitors who might be playing a more prominent role in HPC--and by proxy, cloud computing. 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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