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NVIDIA Announces CUDA Challenge Winners

 
 

NVIDIA Corporation:

Varun Dubey
Product PR Manager - India
NVIDIA Ltd
vdubey@nvidia.com

FOR IMMEDIATE RELEASE:

NVIDIA Announces CUDA Challenge Winners

Programming talent honoured in inaugural GPU coding competition

Four applications have been selected as the winners of the NVIDIA CUDA Challenge, launched to find Europe’s most innovative graphics processing unit (GPU) programmers. CUDA is the only C-language environment that taps into the massive processing power of GPUs to solve a wide range of computationally-intensive problems.

The winners are:

  • First place – GIMP Filter Plug-In by Richard Membarth from Germany, who wins an HP xw8600 work station (dual 3.33 GHz Xeon 5260, Quadro FX 3700, Tesla C870, 30" HP LCD monitor
  • Second place – Fluid Flow Simulation by Jan Linxweiler from Germany, who wins an NVIDIA Tesla D870 deskside supercomputer
  • Third place – Robot Range Finder Janusz Bedkowski from Poland, who wins an NVIDIA Quadro FX 3700 graphic card
  • Fourth place – Face Detection and Tracking by Jacek Naruniec from Poland, who wins an NVIDIA Quadro FX 3700 graphic card

Bernhard Gleissner, NVIDIA Vice President of Sales EMEA and India, said: “Our goal was to challenge developers to use their skills and creativity in creating applications which unleash the parallel processing power of the GPU. The winners were chosen based on originality, usefulness, difficulty and optimal use of the GPU’s processing power.

“We were particularly impressed by the acceleration achieved in the GIMP Filter Plug-In created by Richard Membarth. It provides Linux users with the ability to harness their GPU’s power to speed up image manipulation and is a great demonstration of CUDA’s potential in this field. Jan Linxweiler’s Fluid Flow Simulation also delivered an excellent speed-up when run on the GPU, as well as showing off the high quality of the work which went into creating the application. Our third and fourth place winners, the Robot Range Finder and Face Detection and Tracking applications, also suggested some exciting future uses for parallel processing on the GPU with CUDA.”

First prize winner Richard Membarth added: “It’s great to be recognised in this way and the prize will help me to take my work to a whole new level. CUDA is a powerful tool for accessing the GPU’s parallel processing power through C and it allowed me to create a plug-in which greatly accelerates the use of a particular filter in the GIMP. By using the GPU in this way to reduce the time users have to wait for their changes to be applied, it can help to improve productivity and workflow.”

To learn more about CUDA and the CUDA Challenge winners, please visit www.nvidia.co.in/cuda.

About NVIDIA
NVIDIA (Nasdaq: NVDA) is the world leader in visual computing technologies and the inventor of the GPU, a high-performance processor which generates breathtaking, interactive graphics on workstations, personal computers, game consoles, and mobile devices. NVIDIA serves the entertainment and consumer market with its GeForce® products, the professional design and visualisation market with its Quadro® products, and the high-performance computing market with its Tesla™ products. NVIDIA is headquartered in Santa Clara, Calif. and has offices throughout Asia, Europe, and the Americas. For more information, visit www.nvidia.co.in.

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Copyright © 2008 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, GeForce, Quadro, CUDA and Tesla are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice.

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NVIDIA, the NVIDIA logo, and Tesla, CUDA, Quadro, and GeForce are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated.



 
 
 
 
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