In Silicon Valley? Interested in C++? Join in an evening with Microsoft & NVIDIA to discuss new C++ technology for parallel computing. Register here: http://vnextmsvc.eventbrite.com/

• 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.

The next GPU Technology Conference, GTC 2012, will be held May 14-17 2012, in San Jose, California. Los Alamos National Laboratory’s co-located Accelerated High Performance Computing (HPC) Symposium will move to the same week, as will the new InPar 2012 academic conference, geared towards providing a first-tier venue for peer-reviewed publications in the field of innovative parallel computing.

The North Carolina Renaissance Computing Institute (RENCI) is running Amber PMEMD on the Open Science Grid, the high throughput computing (HTC) fabric used by the Large Hadron Collider (LHC). This approach is likely to be helpful to researchers with any of these challenges:

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.

The call for Submissions for GPU Technology Conference 2011 (GTC), October 11-14, is now open.  You can find more details and instructions for submitting here.

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. Read the rest of this entry »

Press release (submitted to gpgpu.org very late…):

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. Read the rest of this entry »

The application period for the NVIDIA Graduate Fellowship Program is now open. We are currently accepting applications for the 2011-2012 academic year. The deadline to apply is 11:59PM PST on February 3, 2011.

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.

From a press release:

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.
Read the rest of this entry »

Two leading computing visionaries will speak at the GPU Technology Conference (GTC) in September. Prof. Klaus Schulten, renowned computational biologist from the University of Illinois at Urbana-Champaign, will deliver a keynote highlighting discoveries made using the ‘computational microscope.’ Prof. Sebastian Thrun, robotics pioneer at Stanford University and distinguished engineer at Google, will speak on advances in GPU computing in computer vision and robotics. Registration is still open at www.nvidia.com/gtc.

At the ISC 2010 conference in Hamburg, Germany, this week, NVIDIA announced new programs for the growing CUDA/GPGPU developer community:

• 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

This year’s GPU Technology Conference (GTC 2010) will take place on Monday, Sept. 20 to Thursday, Sept. 23 at the San Jose Convention Center in San Jose, California.

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.