• 5:45 PM Welcome & Registration
• 6:00 PM Heterogeneous Parallelism in General, C++ in AMP in Particular, presented by Herb Sutter, Principal Architect for Windows C++, Microsoft
• 7:15 PM ALM tools for C++ in Visual Studio V.NEXT, presented by Rong Lu, Program Manager C++, Microsoft
• 8:00 PM The Power of Parallel, presented by the NVIDIA Team;
  • Parallel Nsight: Programming GPUs in Visual Studio, Stephen Jones, NVIDIA;
  • CUDA 4.0: Parallel Programming Made Easy, Justin Luitjens, NVIDIA;
  • Thrust: C++ Template Library for GPGPUs, Jared Hoberock, NVIDIA

Refreshments provided.

1. Constrained by limited computing resources including access to GPGPUs
2. Manually executing the same simulation repeatedly with different parameters
3. Making simulations easier to understand, share, scale and re-use across compute resources

For more information see these two blog posts: High Throughput Parallel Molecular Dynamics and CUDA/Tesla Accelerated PMEMD on OSG. Contact Steve Cox (scox@renci.org) if you’d like to discuss further and determine if your application is a fit. If it is, RENCI can provide access to the grid as well as tools for executing and managing simulations.

Expanding the already comprehensive breadth of topics covered at GTC 2010, the GTC Content Committee has added new topic areas for 2011. Below is a partial list; see the GTC website for full details:

• Application Design & Porting Techniques
• Bioinformatics
• Climate & Weather Modeling
• Cluster Management
• Computational Structural Mechanics
• Parallel Programming Languages
• Supercomputing

GTC is also looking for posters that describe novel or interesting research topics in parallel computing, visual computing, and applications of GPUs, with a particular interest in submissions describing GPU computing and CUDA applications that solve diverse problems in scientific and engineering domains.

Entering its third year, GTC advances awareness of high performance computing. The event connects scientists, engineers, researchers, and developers who use GPUs to tackle enormous computational challenges, across a broad range of industries. GTC 2010 featured over 240 hours of technical sessions, tutorials, panels, and moderated roundtables. Visit the GTC 2010 archives to see research posters, event program guide and presentation audio recordings.

LOS ANGELES,CA – July 26, 2010 – PEER 1 Hosting (TSX:PIX), a global online IT hosting provider, today announced the availability of the industry’s first large-scale, hosted graphics processing unit (GPU) Cloud at the 37th Annual Siggraph International Conference.

The system runs the RealityServer® 3D web application service platform, developed by mental images, a wholly owned subsidiary of NVIDIA. The RealityServer platform is a powerful combination of NVIDIA Tesla GPUs and 3D web services software. It delivers interactive and photorealistic applications over the web using the iray® renderer, which enables animators, product designers, architects and consumers to easily visualize 3D scenes with remarkable realism.

With the use of massively parallel NVIDIA Tesla GPUs, PEER 1 Hosting can now offer customers flexible and reliable access to a system capable of delivering high computational performance across demanding applications. These include graphics rendering, complex quantitative processing, video compression, and large-model 3D web services for access by mobile clients.

Hosting he GPUs and software within the cloud simplifies customer implementation and provides an inexpensive entry point for new users. It also minimizes internal IT pressures so businesses can focus their talent on core business operations.

“With their commitment to best-in-breed technology and state-of-the-art data centers, PEER 1 Hosting has all the skills to deliver a service of this kind and make the power of the GPU more accessible than ever before,” says Sumit Gupta, product line manager of Tesla products at NVIDIA. “RealityServer running on PEER 1 Hosting’s GPU Cloud will enable software developers of other Web 2.0 websites to offer 3D web applications, making the consumer experience on the Internet even more interactive.”

NVIDIA’s Tesla S1070 and Tesla M2050 (Fermi architecture-based) hosted GPUs, as well as RealityServer are now available for purchase worldwide and will be hosted as a managed hosting offering at PEER 1 Hosting data centers in Toronto, Canada and London, UK. As part of the launch at the Siggraph International Conference, PEER 1 Hosting, mental images and NVIDIA are offering free trials and proof of concepts for new customers to see first-hand how well the GPU Cloud performs.

“We’re excited to support and deliver high performance hosted GPUs from NVIDIA to our customers,” says Robert Miggins, PEER 1 Hosting‘s Senior Vice President Business Development. “The combination of the high performing GPUs running on our robust SuperNetwork™, with the on demand flexibility of the cloud, is truly an industry first.”

About PEER 1 Hosting
PEER 1 Hosting is one of the world’s leading IT hosting providers. The company is built on two obsessions: Ping & People. Ping, represents its commitment to best-in-breed technology, founded on a high performance 10Gb SuperNetwork™ connected by 17 state-of-the-art data centres, 21 points-of-presence and 10 colocation facilities throughout North America and Europe. People, represents its commitment to delivering outstanding customer service to its more than 10,000 customers worldwide, backed by a 100 percent uptime guarantee and 24x7x365 FirstCall Support™. PEER 1 Hosting’s portfolio includes Managed Hosting, Dedicated Servers under the ServerBeach brand, Colocation and Cloud Services. Founded in 1999, the company is headquartered in Vancouver, Canada, with European operations headquartered in Southampton, UK. PEER 1 Hosting shares are traded on the TSX under the symbol PIX. For more information visit: www.peer1.com or www.peer1hosting.co.uk.

Forward Looking Statements:
Statements in this release relating to matters that are not historical fact are forward-looking statements based on current expectations, forecasts and assumptions that involve risks and uncertainties that could cause actual outcomes and results to differ materially. Factors that could cause or contribute to such differences include, but are not limited to, general economic conditions, changes in technology, reliance on third party manufacturing, managing rapid growth, global sales risks, limited intellectual property protection and other risks and uncertainties described in PEER 1 Hosting’s public filings with securities regulatory authorities.

Media Contact:
For North American inquiries please contact Katie Boland at MAVERICK PR, 416-640-5525 ext. 228, katieb@maverickpr.com
For European media inquiries please contact Champion Communications +44 (0)207 268 3439 PEER1hosting@championcomms.com

NVIDIA has long believed that investing in university talent is beneficial to the industry and key to our continued growth and success. The NVIDIA Graduate Fellowship Program provides funding to Ph.D. students who are researching topics that will lead to major advances in the graphics and high-performance computing industries, and are investigating innovative ways of leveraging the power of the GPU. We select students each year who have the talent, aptitude and initiative to work closely with us early in their careers. Recipients not only receive crucial funding for their research, but are able to conduct groundbreaking work with access to NVIDIA products, technology and some of the most talented minds in the field.

For complete details including application instructions, requirements, benefits, and eligibility, visit the NVIDIA Graduate Fellowship website.

SANTA CLARA, CA — (Marketwire) — 10/28/2010 — Tianhe-1A, a new supercomputer revealed today at HPC 2010 China, has set a new performance record of 2.507 petaflops, as measured by the LINPACK benchmark, making it the fastest system in China and in the world today.

Tianhe-1A epitomizes modern heterogeneous computing by coupling massively parallel GPUs with multi-core CPUs, enabling significant achievements in performance, size and power. The system uses 7,168 NVIDIA® Tesla™ M2050 GPUs and 14,336 CPUs; it would require more than 50,000 CPUs and twice as much floor space to deliver the same performance using CPUs alone.

More importantly, a 2.507 petaflop system built entirely with CPUs would consume more than 12 megawatts. Thanks to the use of GPUs in a heterogeneous computing environment, Tianhe-1A consumes only 4.04 megawatts, making it 3 times more power efficient — the difference in power consumption is enough to provide electricity to over 5000 homes for a year.

Tianhe-1A was designed by the National University of Defense Technology (NUDT) in China. The system is housed at National Supercomputer Center in Tianjin and is already fully operational.

“The performance and efficiency of Tianhe-1A was simply not possible without GPUs,” said Guangming Liu, chief of National Supercomputer Center in Tianjin. “The scientific research that is now possible with a system of this scale is almost without limits; we could not be more pleased with the results.”

The Tianhe-1A supercomputer will be operated as an open access system to use for large scale scientific computations.

“GPUs are redefining high performance computing,” said Jen-Hsun Huang, president and CEO of NVIDIA. “With the Tianhe-1A, GPUs now power two of the top three fastest computers in the world today. These GPU supercomputers are essential tools for scientists looking to turbocharge their rate of discovery.”

NVIDIA Tesla GPUs, based on the CUDA™ parallel computing architecture, are designed specifically for high performance computing (HPC) environments and deliver transformative performance increases across a wide range of HPC fields, including drug discovery, hurricane and tsunami modeling, cancer research, car design, even studying the formation of galaxies.

For more information on NVIDIA Tesla high performance GPU computing products, go here.

• CUDA Certification Program – Driven by demand for qualified GPGPU engineers, this is the first program to certify expertise in massively parallel programming on GPUs.
• CUDA Research Centers – Recognizes institutions that embrace GPU Computing across multiple research fields.
• CUDA Teaching Centers – Recognizes institutions that have integrated GPU Computing techniques into their mainstream computer programming curriculum.

These programs complement the existing CUDA Center of Excellence program, which has recognized 10 premier institutions around the world. More details are available here: http://www.nvidia.com/object/io_1275409333119.html

Building on last year’s inaugural conference, GTC 2010 will feature an even broader and deeper selection of technical sessions, interactive tutorials, technology previews, and industry and academic presentations.

Three concurrent GPU-focused summits will occur under one roof:

• Emerging Companies Summit: A showcase for innovative startups to demonstrate products and network with VC’s and other investors.
• GPU Developers Summit: Sessions, tutorials, and presentations for developers, engineers, and scientists.
• NVIDIA Research Summit: A unique opportunity for students, professors, and researchers to present their findings and collaborate.

For more information:

• Join the GTC 2010 mailing list for updates.
• See GTC Call for Submissions to learn about submitting content.
• To inquire about being a sponsor or exhibitor, visit GTC Sponsors/Exhibitors.