CUDA: Week in Review
Friday, July 16, 2010, Issue #30
WELCOME
Welcome to "CUDA: Week in Review," an online news summary for the worldwide CUDA and GPU Computing community.
– Contact us at: cuda_week_in_review@nvidia.com
– Follow us on Twitter: www.twitter.com/gpucomputing
– See previous issues: http://is.gd/cBXbg
– Register for GPU Technology Conference (Sept. 20-23): http://www.nvidia.com/gtc
   (code: GMCUDANEWS10)
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
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
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.
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/
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
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.
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
Training from EMPhotonics
– On-site standard and customized training programs:
   http://www.emphotonics.com/services/cuda-training
Training from SagivTech
– GPU/Image Processing course: Aug. 2-4, Ra'anana, Israel:
   http://www.sagivtech.com/24054.html
– CUDA course: Sept. 27-29, San Francisco (following GTC 2010):
   http://www.sagivtech.com/36923.html
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/
CUDA CALENDAR
July 2010

Parallel Symbolic Computation 2010 (PASCO)
July 21-23, Grenoble, France
http://pasco2010.imag.fr/contest.html

SIGGRAPH
July 25-29, Los Angeles
http://www.siggraph.org/s2010/

CUDA Programming on GPUs
July 26-30, University of Oxford, U.K.
http://www.oerc.ox.ac.uk/events/course-on-cuda-programming%202010

August 2010

Proven Algorithmic Techniques for Many-Core Processors
Aug. 2-6, Choice of onsite locations, or online
https://hub.vscse.org

Virtual School of Comp. Science & Engineering
Aug. 2-6, choice of onsite locations
https://hub.vscse.org

GPU Programming for Molecular Modeling
Aug. 6-8, Beckman Inst. for Advanced Science & Tech, UIUC
http://www.ks.uiuc.edu/Training/Workshop/GPU_Aug2010/

Symposium on Chemical Computations on GPGPUs
Aug. 22-26, Boston
http://illinois.edu/lb/article/2101/36281

Unconventional High Performance Computing 2010 (UCHPC 2010)
Aug. 31-Sept. 1, Italy
http://www.lrr.in.tum.de/~weidendo/uchpc10/

September 2010

GPU Technology Conference (GTC) 2010
Sept. 20-23, San Jose, Calif.
http://www.nvidia.com/gtc (register today, space is limited)

Future

Supercomputing 2010
Nov. 13-19, New Orleans, LA
http://sc10.supercomputing.org/

IEEE International Parallel & Distributed Processing Symposium
May 16-20, 2011, Anchorage, AL
http://www.ipdps.org/

(To list an event, email: cuda_week_in_review@nvidia.com)

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
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
CUDA Documentation
– Download developer guides and documentation:
   http://developer.nvidia.com/object/gpucomputing.html
NVIDIA Parallel Nsight
– Download the Beta: www.nvidia.com/nsight
– Download the Release Notes: http://bit.ly/9iEYMs
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
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.

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