CUDA: Week in Review
Tuesday, Sept. 14, 2010, Issue #36 - Newsletter Home
Welcome to "CUDA: Week in Review," an online news summary for the worldwide CUDA and GPU Computing community. Follow us on Twitter: See previous issues:
T-Minus 6 Days!

Join us at the GPU Technology Conference (GTC 2010), the worldwide epicenter of the GPU computing revolution, on Sept. 20-23 in San Jose, California. Speakers from Adobe, Autodesk, Google, Harvard, Mass General Hospital, Microsoft, Stanford and other organizations will present 280+ hours of technical content and sessions.

Schedule notes:
– Mon., Sept. 20, 1:00-6:00 pm: Pre-conference tutorials
– Tues., Sept. 21, 9:00 am: Keynote by NVIDIA CEO Jen-Hsun Huang
– Tues., Sept. 21 and Wed., Sept. 22, 6:00-8:00 pm: Evening receptions
– Thurs., Sept. 23: Closing party following Dr. Sebastian Thrun’s keynote (featuring special
   guest appearance by the NVIDIA band)

More info:
– For topics and session list, see:
– For keynote info, see: GTC blog post
– To register, go to: (code: GMCUDANEWS10)
– To ask about special group rate, contact

CUDA, Supercomputing for the Masses: Part 20
Dr. Dobb’s published Part 20 of the ever-popular series "CUDA, Supercomputing for the Masses." See: If you’d like to meet the author of the column, Rob Farber, in person, be sure to attend his talk at GTC 2010 titled "Supercomputing for the Masses: Killer-Apps, Parallel Mappings, Scalability and Application Lifespan," on Tues., Sept. 21.
New Releases of Parallel Nsight and CUDA Toolkit
NVIDIA today announced new versions of the industry-leading developer tools Parallel Nsight and CUDA Toolkit.
– Parallel Nsight v1.5 includes support for Microsoft Visual Studio 2010, Tesla Compute
   Cluster (TCC) debugging and CUDA Toolkit 3.2
– CUDA Toolkit v3.2 includes new math libraries, performance improvements and support
   for the new 6GB Tesla and Quadro products
– For an overview of new features, see:
CDC: Modeling Hepatitis C Virus Mutations with GPUs
AccelerEyes has posted a case study about R&D by the Centers for Disease Control and Prevention (CDC) related to modeling mutations of the Hepatitis C Virus (HCV) - a major cause of liver disease around the world. By leveraging parallelization, CDC reduced computing time from 40 days to less than one day with NVIDIA Tesla GPUs, Mathworks MATLAB and AccelerEyes Jacket. See:
High-Performance GPU Computing Center at Univ. of Wisconsin
The University of Wisconsin-Madison launched a new HPC center using NVIDIA Tesla. At the heart of the center is a cluster of 5,760 scalar processors split across 24 GPUs. Dan Negrut, the center director, compared the GPUs to a group of jugglers: "This is like 5,760 jugglers split into 24 groups of 240. For them to work together, you have to have some type of protocol and understand who’s passing the sticks - or data - to who, how often and how many." See:
CUDA Accelerates Broadcast & Film
At the International Broadcasting Convention in Amsterdam last week, NVIDIA announced that a growing number of companies are leveraging CUDA for broadcast and film, including Adobe, Ambrado, Blackmagic Design, BroadMotion, Cinnafilm, Elemental Technologies, Industrial Light & Magic, Iridas, MainConcept, Microsoft and TDVision.

Jon Peddie, president of Jon Peddie Research, commented: "...CUDA is a remarkable architecture that utilizes the GPU to accelerate processes crucial to film and video production, such as encoding, color compression and effects simulation. We are going to see things we never saw before." See:
CUDA on Kindle: Recommended Reading!
CUDA By Example, by Jason Sanders and Edward Kandrot (Addison-Wesley, 2010)
– Buy for Kindle:
Programming Massively Parallel Processors, by David Kirk and Wen-mei Hwu (Morgan Kaufmann, 2010)
– Buy for Kindle:
– Sept. 15: (with David Luebke of NVIDIA)
CUDA Certification
– New certification program for GPU computing developers:
NVIDIA GPU Computing Webinars
– For info on all upcoming webinars, see:
Training from CAPS
– Nov. 23-25, Rennes, France:
Training from EMPhotonics
– On-site training programs:
CUDA and Academia
Over 360 universities are teaching CUDA and GPU Computing courses around the world. Academic programs from NVIDIA include:
CUDA Center of Excellence
CUDA Research Center
CUDA Teaching Center
Academic Partnership
– Learn more at
Next Week

GPU Technology Conference (GTC) 2010 - Register today, space is limited
Sept. 20-23, San Jose, Calif.


Palo Open Conference: Business Intelligence Acceleration with GPUs
Sept. 30-Oct. 1, Frankfurt

MATLAB Conference 2010
Sept. 30, Wembley Stadium, London

Supercomputing 2010
Nov. 13-19, New Orleans, LA

IEEE International Parallel & Distributed Processing Symposium
May 16-20, 2011, Anchorage, AL

(To list an event, email:

– Download CUDA Toolkit 3.2:
– 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 Articles in Dr. Dobb's
– Supercomputing for the Masses, Part 20:
– Supercomputing for the Masses, Part 19:
– Supercomputing for the Masses, Part 18:
– Supercomputing for the Masses, Part 17:
CUDA Documentation
– Download developer guides and documentation:
– See list of CUDA-enabled GPUs:
– Read previous issues of CUDA: Week in Review:
– Follow CUDA & GPU Computing on Twitter:
– Network with other developers:
– Stayed tuned to GPGPU news and events:
– Learn more about CUDA on CUDA Zone:
– Read Kudos for CUDA:
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:

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