From an NVIDIA Press Release:

SANTA CLARA, CA—APRIL 20, 2009—NVIDIA Corporation, the inventor of the GPU, today announced the release of its OpenCL driver and software development kit (SDK) to developers participating in its OpenCL Early Access Program. NVIDIA is providing this release to solicit early feedback in advance of a beta release which will be made available to all GPU Computing Registered Developers in the coming months.

Developers can apply to become a GPU Computing Registered Developer at: www.nvidia.com/opencl

“The OpenCL standard was developed on NVIDIA GPUs and NVIDIA was the first company to demonstrate OpenCL code running on a GPU,” said Tony Tamasi, senior vice president of technology and content at NVIDIA. “Being the first to release an OpenCL driver to developers cements NVIDIA’s leadership in GPU Computing and is another key milestone in our ongoing strategy to make the GPU the soul of the modern PC.”

At the core of NVIDIA®’s GPU Computing strategy is the massively parallel CUDA™ architecture that NVIDIA pioneered and has been shipping since 2006. Accessible today through familiar industry standard programming environments such as C, Java, Fortran and Python, the CUDA architecture supports all manner of computational interfaces and, as such, is a perfect complement to OpenCL. Enabled on over 100 million NVIDIA GPUs, the CUDA architecture is enabling developers to innovate with the GPU and unleash never before seen performance across a wide range of applications.

Developers can apply to become a GPU Computing Registered Developer at: www.nvidia.com/opencl

Graphic Remedy launched the first official version of gDEBugger Mac at this year’s Game Developers Conference, held in San Francisco, 23-27 March. On Tuesday March 24, gDEBugger Mac was demonstrated in the Khronos Developer University full-day tutorial area. A fully functional trial version of gDEBugger Mac is now available for download.

gDEBugger is an OpenGL Debugger and Profiler. It traces application activity on top of the OpenGL API, lets programmers see what is happening within the graphics system implementation to find bugs and optimize OpenGL application performance.

gDEBugger Mac brings all of gDEBugger’s Debugging and Profiling abilities to the Mac OS X OpenGL developer’s world. gDEBugger now runs on Windows, Mac OS X and Linux operating systems.

On March 11, NVIDIA launched the GPU Ventures Program, a global initiative thats aim is to identify, support and invest in early stage companies leveraging the GPU for visual and other computing applications. Also announced was the launch of the program’s corresponding GPU Venture Zone website which is a portal designed to showcase the innovative GPU applications being developed.

The new gDEBugger V4.5 adds the ability to view texture MIP-map levels. Each texture MIP-map level’s parameters and data (as an image or raw data) can be displayed in the gDEBugger Texture and Buffers viewer. Browse the different MIP-map levels using the Texture MIP-map Level slidergDEBugger V4.5 also introduces support for 1D and 2D texture arrays. The new Textures and Buffers viewer Texture Layer slider enables viewing the contents of different texture layers. This version also introduces notable performance and stability improvements.

gDEBugger, an OpenGL and OpenGL ES debugger and profiler, traces application activity on top of the OpenGL API and lets programmers see what is happening within the graphics system implementation to find bugs and optimize OpenGL application performance. gDEBugger runs on Windows and Linux operating systems, and is currently in Beta phase on Mac OS X.

http://www.gremedy.com

February 5, 2009, 11am PST / 2pm EST

Are you looking for ways to improve your productivity by accelerating MATLAB functions? Now you can with the unprecedented performance of GPU computing.

By attending this webinar, you will learn:

• What is GPU computing
• What is NVIDIA CUDA parallel computing architecture
• What is the Jacket engine for MATLAB from AccelerEyes
• How to get 10x to 50x speed-up for several MATLAB functions

Date: Thursday, February 5, 2009
Time: 11:00am PST / 2:00pm EST
Duration: 45 Minute Presentation, 15 Minute Q&A
Register Here
Presented By: Sumit Gupta, Ph.D., Sr Product Manager of Tesla GPU Computing at NVIDIA and John Melonakos, Ph.D., CEO at AccelerEyes LLC

From a press release:

SANTA CLARA, CA—JANUARY 15, 2009—NVIDIA today announced it is now working closely with Wipro to provide CUDA™ professional services to their joint customers worldwide. CUDA, NVIDIA’s parallel computing architecture accessible through an industry standard C language programming environment, has already delivered major leaps in performance across many industries. Wipro’s Product Engineering Services group will accelerate the development efforts of companies with vast software portfolios seeking to exploit parallel computing with the GPU.

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Graphic Remedy is proud to announce the upcoming release of gDEBugger for Mac OS X. This new product brings all of gDEBugger’s Debugging and Profiling abilities to the Mac OpenGL developer’s world. Using gDEBugger Mac will help OS X OpenGL developers optimize their application performance: find graphics pipeline bottlenecks, improve application graphics memory consumption, locate and remove redundant OpenGL calls and graphics memory leaks, and much more. Visit the gDebuggerMac home page to join the Beta Program, see screenshots and get more details.

gDEBugger, an OpenGL and OpenGL ES debugger and profiler, traces application activity on top of the OpenGL API, and lets programmers see what is happening within the graphics system implementation to find bugs and optimize OpenGL application performance. gDEBugger runs on Windows, Linux and Mac OS X operating systems.

Equalizer Graphics have announced the release of Equalizer 0.6, a major advance in parallel OpenGL rendering. Equalizer is middleware for creating parallel OpenGL-based applications, including GPGPU applications. It enables applications to benefit from multiple graphics cards, processors and computers to scale rendering performance, visual quality and display size. Equalizer 0.6 adds support for Automatic load-balancing for 2D and DB decompositions, DPlex (time-multiplex) compounds, and Paracomp compositing backend. See the release notes on the Equalizer website for a comprehensive list of new features, enhancements, optimizations and bug fixes.

This is a GPGPU event a long time in the making.  Since the advent of general-purpose APIs and compilers for GPUs it has been predicted that GPUs would one day be used to help boost the performance of Supercomputers.  With the latest release of the Top500 Supercomputer list, that prediction has become a reality.

More details from an NVIDIA press release:

NVIDIA Tesla Powers 29th Most Powerful Supercomputer in the World

SC08—AUSTIN, TX—NOVEMBER 17, 2008—The Tokyo Institute of Technology (Tokyo Tech) today announced a collaboration with NVIDIA to use NVIDIA® Tesla™ GPUs to boost the computational horsepower of its TSUBAME supercomputer. Through the addition of 170 Tesla S1070 1U systems, the TSUBAME supercomputer now delivers nearly 170 TFLOPS of theoretical peak performance, as well as 77.48 TFLOPS of measured Linpack performance, placing it, again, amongst the top ranks in the world’s Top 500 Supercomputers.

“Tokyo Tech is constantly investigating future computing platforms and it had become clear to us that to make the next major leap in performance, TSUBAME had to adopt GPU computing technologies,” said Satoshi Matsuoka, division director of the Global Scientific Information and Computing Center at Tokyo Tech. “In testing our key applications, the Tesla GPUs delivered speed-ups that we had never seen before, sometimes even orders of magnitude – a tremendous competitive boost for our scientists and engineers in reducing their time to solution.”

Speaking to the ease of implementation, Matsuoka continued,

“The entire upgrade was carried out in 1 week, and the TSUBAME supercomputer remained live throughout. This is an unprecedented feat in top-level supercomputing.”

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From a press release:

World’s Most Powerful Global Computation Software Now GPU Accelerated

SC08—AUSTIN, TX—NOVEMBER 18, 2008—At SC08, Wolfram Research will demonstrate a new version of Mathematica, the world’s most powerful general computational software, that integrates CUDA®, NVIDIA’s parallel GPU computing architecture. This new version is expected to give Mathematica users an unprecedented performance increase of 10-100X in numerical computing, modeling, simulation and visual computations, without the need to learn or write C code.

“Since its initial release, Mathematica has been adopted by over 3 million professionals across the entire global technical computing community, and it has had a profound effect on how computers are used across many fields,” said Joy Costa, director of global partnerships at Wolfram Research. “The prospect of a hundred fold increase in Mathematica 7 performance is staggering. CUDA enabled Mathematica will revolutionize the world of numerical computation.”

“With Mathematica 7, researchers and scientists can easily tap the enormous parallel processing power of NVIDIA GPU’s through a familiar high level interface,” said Andy Keane, general manager of the GPU Computing business at NVIDIA. This is truly transformative, giving Mathematica users computational horsepower like never before and reducing computation time in some cases from days to a matter of minutes.”

The demonstration of the CUDA-accelerated release of Mathematica coincides with the launch of the NVIDIA® Tesla™ Personal Supercomputer at this year’s SC08. Priced in the range of traditional PC workstations, Tesla Personal Supercomputers are unrivalled in price and performance. Available in configurations of up to 4 Tesla GPUs in a single system, Tesla Personal Supercomputers deliver up to 4 Teraflops of computing performance from up to 960 parallel processing cores.

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