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by tens of thousands of users, companies, and learning institutions, as well as numerous independent soſtware vendors. From multicore workstations to

the latest supercomputers, NAG’s robust soſtware development products, parallel soſtware engineering services, independent technology consulting and HPC training can support modelling and computing needs. Visitors to NAG’s booth can find out about the latest HPC projects, the routines in the recent release of the NAG Library, and NAG’s support for the latest co-processors.

Nvidia (#613) is exhibiting what it says is game-changing scientific discovery and innovations made possible by GPU-accelerated computing. On display will be the newest GPU-accelerated technologies and examples of how scientists are advancing computational science.

The National Center for Supercomputing Applications (NCSA) (#1122), located at the University of Illinois at Urbana- Champaign, will showcase its capabilities in big data, extreme- scale computing, e-science, and industry collaboration. NCSA is home to the NSF-

supported Blue Waters petascale supercomputer, and its exhibit will include information about Blue Waters projects and

Nvidia will also feature a GPU

Technology Teatre with talks on a wide range of topics in high- performance computing and accelerated computing. Tis year’s line-up includes speakers from Proctor & Gamble, ETH Zurich, Oak Ridge National Laboratory, GE Global Research, and many others. Additionally, the company is

presenting numerous tutorials and a developer zone will be available for

successes as well as how to apply to use the system. Blue Waters fellowships are also available to graduate students. Other showcased projects include the Extreme Science and Engineering Discovery Environment (XSEDE), scientific visualisation, and a $10 million NSF-funded effort to create soſtware to manage and make sense of vast amounts of uncurated digital data.

anyone who is looking to get started with accelerating on GPUs. GPU- accelerated computing will also be on display from partners including ARM, Cineca, Nice, OpenACC, SGI, HP, Dell, IBM, Supermicro, and many others.

OpenCL (#4137) is a widely- supported open standard for programming heterogeneous

computers built from CPUs, GPUs, FPGAs, and other processors. It includes a framework to define the platform as a host and one or more devices, plus a C-based language for writing programs that run on the devices. OpenCL programs can therefore use all the resources of the heterogeneous computer. At SC13, the latest developments

in OpenCL will be shown, including the new OpenCL 2.0 specification.


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