Adapting Algorithms to Modern Hybrid Architectures

August 13, 2014

Technology, like other facets of life, commonly experiences cycles of rapid change followed by periods of relative stability. Computing has entered a stage of i Read more…

Opening Up the Accelerator Advantage

November 26, 2013

Researchers at Georgia Institute of Technology and University of Southern California will receive nearly $2 million in federal funding for the creation of tools Read more…

Alternatives to x86 for Physics Processing

November 11, 2013

The global distributed computing system known as the Worldwide LHC Computing Grid (WLCG) brings together resources from more than 150 computing centers in near Read more…

Intel Snaps New Grips to HPC Hook

June 17, 2013

Not content to let the Tianhe-2 announcement ride alone, Intel rolled out a series of announcements around its Knights Corner and Xeon Phi products--all of which are aimed at adding some options and variety for a wider base of potential users across the HPC spectrum. Today at the International Supercomputing Conference, the company's Raj.... Read more…

Full Details Uncovered on Chinese Top Supercomputer

June 2, 2013

With help from a draft report from Jack Dongarra of the University of Tennessee and Oak Ridge National Laboratory, who also spearheads the process of verifying the top of the pack super, we are able to share the full processor, Xeon Phi coprocessor, custom interconnect, storage and memory, as well as power and cooling information. The supercomputer out of China will be... Read more…

IDC Posits Processor Possibilities

May 1, 2013

This week we're at the IDC User Forum in Tucson, staying cool amidst some heated talks about which processor, coprocessor and accelerator approaches are going to push into the lead in the next few years. To take this pulse, we sat down with IDC's Steve Conway to talk about some general trends that are a tall drink of water for a few key vendors, including Intel, NVIDIA..... Read more…

The Week in HPC Research – 03/21/2013

March 21, 2013

The top research stories of the week include an evaluation of sparse matrix multiplication performance on Xeon Phi versus four other architectures; a survey of HPC energy efficiency; performance modeling of OpenMP, MPI and hybrid scientific applications using weak scaling; an exploration of anywhere, anytime cluster monitoring; and a framework for data-intensive cloud storage. Read more…

Penguin Pushes Envelope on Compute Density

March 21, 2013

Penguin Computing keeps finding increasing demand for servers that go heavy on the GPUs (or other coprocessors). Based on feedback from one such customer, it has designed the Relion 2808GT server, which it says now has the highest compute density of any server on the market. Read more…

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Whitepaper

A New Standard in CAE Solutions for Manufacturing

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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Whitepaper

Porting CUDA Applications to Run on AMD GPUs

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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Sponsored by AMD

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