| Friday, July 16, 2010, Issue #30 - Newsletter Home |
| WELCOME | |||||||||||||||||||||||
Welcome to "CUDA: Week in Review," an online news summary for the worldwide CUDA and GPU Computing community.
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| CUDA NEWS | |||||||||||||||||||||||
| Get CUDA Certified! | |||||||||||||||||||||||
| NVIDIA has launched a CUDA certification program for GPU computing developers. Initial certification covers CUDA C and the CUDA architecture. For information, see: www.nvidia.com/certification | |||||||||||||||||||||||
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| GTC COUNTDOWN: TEN WEEKS! | |||||||||||||||||||||||
| GTC Sessions Preview | |||||||||||||||||||||||
| Every day we're adding exciting sessions to the GTC agenda. Here's a sampling of new ones: – Application of the Fermi GPU to Cancer Detection Robert Zigon, Beckman Coulter – Real-Time Digital Video Broadcasting on the GPU Xu Hongliang, Agilent Technologies – PyCUDA: Even Simpler GPU Programming with Python Andreas Kloeckner, Brown University |
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| GTC Live Chat Series, Presented by Adobe | |||||||||||||||||||||||
| Join us for a Live Chat with Dr. David Kirk on Thurs., July 22: http://blogs.nvidia.com/ntersect/live-chat | |||||||||||||||||||||||
| GTC Sponsors | |||||||||||||||||||||||
| NVIDIA thanks the following GTC sponsors: Adobe, Microsoft, HP, Supermicro, PNY, Dell, NextIO, Amax, SGI, Appro, GE Intelligent Platforms, Citi, Dassault Systemes, Cooley and Dr. Dobbs. | |||||||||||||||||||||||
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| CUDA APPS | |||||||||||||||||||||||
| Adobe Premiere Pro + Media Playback Engine + NVIDIA | |||||||||||||||||||||||
| NVIDIA's Joe Stam has written a white paper on Adobe Premiere Pro, MPE and the GPU. Here's an extract: "Professional video editing demands enormous computational power… Simply manipulating high resolution footage is a laborious task, even with the most powerful workstations…. In the past, users demanding more interactive control or those with high productivity requirements had no choice but to spend tens of thousands of dollars on custom hardware solutions. Adobe Premiere Pro CS5 takes a bold step forward with its new Mercury Playback Engine by leveraging the massive parallel computational power of the GPU. See paper here: http://www.nvidia.com/docs/IO/85230/CUDA_MPE_WP-05380-001_v01.pdf | |||||||||||||||||||||||
| AccelerEyes Jacket + NVIDIA | |||||||||||||||||||||||
| The AccelerEyes Jacket software platform for MATLAB now supports NVIDIA's newest Fermi-based GPUs: the Tesla 20-series and the GeForce GTX 4xx-series. See more: http://www.accelereyes.com/ | |||||||||||||||||||||||
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| SEMINARS AND PAPERS | |||||||||||||||||||||||
| Like math? Wolfram Research is holding a "Mathematica in Finance and Economics" seminar on Wed., Aug. 4 in Chicago. The seminar is free, but space is limited, so register today: http://www.wolfram.com/events/chicago2010/register.cgi | |||||||||||||||||||||||
| Going to SC10? Submit a paper to the Workshop on High Performance Computational Finance. WHPCF´10 will be held in on Nov. 14 in New Orleans. See: http://research.ihost.com/whpcf | |||||||||||||||||||||||
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| CUDA DOWNLOADS | |||||||||||||||||||||||
| – Download CUDA 3.1 Toolkit: http://bit.ly/aKCENp – OpenCL v1.1 pre-release drivers and SDK code samples are available to GPU Computing registered developers. Log in or apply for an account to download. |
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| CUDA TRAINING | |||||||||||||||||||||||
| GPU Computing Webinars from NVIDIA | |||||||||||||||||||||||
| – For info on upcoming events, see: www.nvidia.com/webinars | |||||||||||||||||||||||
| Training from Acceleware | |||||||||||||||||||||||
| – July 26-30, Cambridge, Mass: www.acceleware.com/jul26cambridge (with Microsoft) – Aug. 2-6, New York City: www.acceleware.com/aug02newyork (with Microsoft) – Sept. 13-17, Calgary: www.acceleware.com/sep13calgary |
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| Training from EMPhotonics | |||||||||||||||||||||||
| – On-site standard and customized training programs: http://www.emphotonics.com/services/cuda-training |
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| Training from SagivTech | |||||||||||||||||||||||
| – GPU/Image Processing course: Aug. 2-4, Ra'anana, Israel: http://www.sagivtech.com/24054.html |
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| – CUDA course: Sept. 27-29, San Francisco (following GTC 2010): http://www.sagivtech.com/36923.html |
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| CUDA and Academia | |||||||||||||||||||||||
| – Over 350 universities are teaching CUDA and GPU Computing courses around the world. – The CUDA Center of Excellence Program recognizes universities expanding the frontier of parallel computing. – The CUDA Research Center Program recognizes institutions performing leading-edge research. – The CUDA Teaching Center Program recognizes universities providing education and hands-on instruction. – The Academic Partnership Program provides support to researchers using GPUs to solve the world´s most challenging problems. – Learn more about NVIDIA´s Research and University activities at http://research.nvidia.com/ |
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| CUDA CALENDAR | |||||||||||||||||||||||
| July 2010 – Parallel Symbolic Computation 2010 (PASCO)
– SIGGRAPH
– CUDA Programming on GPUs
August 2010 – Proven Algorithmic Techniques for Many-Core Processors
– Virtual School of Comp. Science & Engineering
– GPU Programming for Molecular Modeling
– Symposium on Chemical Computations on GPGPUs
– Unconventional High Performance Computing 2010 (UCHPC 2010)
September 2010 – GPU Technology Conference (GTC) 2010
Future – Supercomputing 2010
– IEEE International Parallel & Distributed Processing Symposium
(To list an event, email: cuda_week_in_review@nvidia.com) |
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| CUDA RESOURCES | |||||||||||||||||||||||
| CUDA Articles in Dr. Dobb's | |||||||||||||||||||||||
| – Supercomputing for the Masses, Part 18: http://is.gd/cs6b9 – Supercomputing for the Masses, Part 17: http://is.gd/cs6eI – Supercomputing for the Masses, Part 16: http://is.gd/citaC – Supercomputing for the Masses, Part 15: http://is.gd/citnJ |
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| CUDA Books | |||||||||||||||||||||||
| – Programming Massively Parallel Processors by D. Kirk, W. Hwu: http://is.gd/7bNYP – See additional books here: http://www.nvidia.com/object/cuda_books.html |
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| CUDA Documentation | |||||||||||||||||||||||
| – Download developer guides and documentation: http://developer.nvidia.com/object/gpucomputing.html |
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| NVIDIA Parallel Nsight | |||||||||||||||||||||||
| – Download the Beta: www.nvidia.com/nsight – Download the Release Notes: http://bit.ly/9iEYMs |
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| CUDA ON THE WEB | |||||||||||||||||||||||
| – Check out the NVIDIA Research site: http://research.nvidia.com – Read 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 – Stayed tuned to GPGPU news and events: www.gpgpu.org – Learn more about CUDA on CUDA Zone: www.nvidia.com/cuda – Watch CUDA on YouTube: http://www.youtube.com/nvidiacuda – Read Kudos for CUDA: http://www.hpcwire.com/features/Kudos-for-CUDA-97889444.html |
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| About CUDA | |||||||||||||||||||||||
| CUDA is NVIDIA’s parallel computing hardware architecture. 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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