Heterogeneous Computing and HPC Accelerators, Disruptive Technologies in the Making

June 18, 2011

At this week's International Supercomputing Conference in Hamburg, Germany, two of the biggest topics on the agenda are heterogeneous architectures and GPU/accelerator computing. Those emerging trends are joined at the hip, thanks mostly to the efforts of NVIDIA and their industry partners. Intel's ongoing plans for its Many Integrated Core (MIC) co-processor and AMD's introduction of its CPU-GPU "Fusion" processors are yet additional indications that the industry is moving to an architecture where CPUs married to accelerators will provide the next big seismic shift in high performance computing. Read more…

Intel Charts Its Multicore and Manycore Future for HPC

December 1, 2010

As the high performance computing community hurtles toward the exaflop milestone, it has become clear that the natural evolution of multicore x86 CPUs won't get the industry very far toward that goal. Manycore GPGPUs, on the other hand, do appear to be a viable path to exascale computing. So where does that leave GPU-less Intel? Read more…

SGI Gets Its Mojo Working for Supercomputing Conference

November 15, 2010

SGI has made good on its promise to create a petaflop-in-a-cabinet supercomputer that can scale up to tens and even hundreds of cabinets. Developed under the code name "Project Mojo," the company has dubbed the new product Prism XL. SGI will be showcasing the system this week in their exhibit booth at the Supercomputing Conference in New Orleans. 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.

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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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