| Fri., Dec. 23, 2011, Issue #67 - Newsletter Home |
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EDITOR'S NOTE |
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CUDA SPOTLIGHT |
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As the end of the year draws near, we would like to recognize and thank our CUDA Spotlights: July - December 2011 Anders Eklund, Linkoping University: GPU-Accelerated Medical Imaging Jeffrey Vetter, ORNL & Georgia Tech: GPU-Accelerated Real Science William Putman, NASA: GPU-Accelerated Climate Simulation Mehdi Raessi, UMass-Dartmouth: GPU-Accelerated Multi-Phase Flow Alexander Doronin, Univ. of Otago: GPU-Accelerated Biophotonics Ross Walker, UC San Diego: GPU-Accelerated Molecular Dynamics Denis Bastieri, University of Padua: GPU-Accelerated Astronomy Jesse Rosenzweig, Elemental: GPU-Accelerated Video Processing Vincent Natoli, Stone Ridge Technology: GPU-Accelerated Science January - June 2011 Axel Kohlmeyer, Temple University: GPU-Accelerated Discovery John Humphrey, EM Photonics: GPU-Accelerated Linear Algebra Wu-Chun Feng, Virginia Tech: Compute the Cure Kang Zhang, Johns Hopkins University: Tools For Microsurgeons Vitaliy Lomakin, UCSD: GPU-Accelerated Electromagnetic Simulators Ren Wu, HP Labs: GPU-Accelerated Large-Scale Analytics Stephen Fried, Microway: GPU Computing Momentum Andre Brodtkorb, SINTEF: Modeling the Real World in Real Time Andrew Sheppard: GPUs in the Big Apple Allan Engsig-Karup, DTU: Simulating Waves in Denmark Joshua Adelman, Univ. of Pittsburgh: Molecular Research + GPUs 2010 Martin Peniak, Univ. of Plymouth: Developing Robots with CUDA Douglas Miles, PGI: PGI Partnership Arnaud Mazurier, ERM & Francois Curnier, Digisens: 2.1 Billion Years Ago Ben Jiang, Nexiwave: Voice Search Accelerated by CUDA (To suggest a CUDA Spotlight, email cuda_week_in_review@nvidia.com) |
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CUDA Calendar |
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CUDA RESOURCES |
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CUDA Registered Developer Program |
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| – Sign up: www.nvidia.com/paralleldeveloper | |||||||||||||||||||||||||||
CUDA GPUs |
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| – List of CUDA-enabled GPUs: http://developer.nvidia.com/cuda-gpus | |||||||||||||||||||||||||||
CUDA on the Web |
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| – Learn more about CUDA on CUDA Zone: www.nvidia.com/cuda – See previous issues of CUDA: Week in Review: http://is.gd/cBXbg – Follow CUDA & GPU Computing on Twitter: www.twitter.com/gpucomputing – Network with other developers: www.gpucomputing.net – Stay tuned to GPGPU news and events: www.gpgpu.org – Check out the NVIDIA Research page: www.nvidia.com/research |
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CUDA Recommended Reading |
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| – CUDA books: http://www.nvidia.com/object/cuda_books.html | |||||||||||||||||||||||||||
CUDA Recommended Viewing |
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| – GTC Express: http://www.gputechconf.com/object/gtc-express-webinar.html | |||||||||||||||||||||||||||
| – SC11 presentations: http://www.gputechconf.com/page/gtc-on-demand.html | |||||||||||||||||||||||||||
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ABOUT CUDA |
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| CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU). NVIDIA provides a complete toolkit for programming on the CUDA architecture, supporting standard computing languages such as C, C++ and Fortran as well as APIs such as OpenCL and DirectCompute. Send comments and suggestions to: cuda_week_in_review@nvidia.com |
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Click here to opt in specifically to CUDA: Week in Review. Copyright © 2011 NVIDIA Corporation. All rights reserved. 2701 San Tomas Expressway, Santa Clara, CA 95050. |
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