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CUDA Week in Review Newsletter
Wed., Feb. 20, 2013, Issue #89 Newsletter Home
Welcome to CUDA: WEEK IN REVIEW, a news summary for the worldwide CUDA, GPGPU and parallel programming community.
Register for GTC 2013, the world’s premier CUDA developer conference
(Discount code for newsletter readers: GM10CD)

GTC 2013
CUDA Pro Tip: Did you know that "texture objects" (a Kepler feature available in CUDA 5) are easier to use and higher performance than legacy CUDA texture references? Learn more in this Parallel Forall “Pro Tip” blog post.

CUDA SPOTLIGHT

Eldad Klaiman GPU-Accelerated Diagnosis and Treatment for Heart Disease
This week’s Spotlight is on Eldad Klaiman, a signal/image processing engineer at Volcano. Eldad works on an R&D team that develops software to assist physicians who treat coronary disease with devices such as wires, catheters and stents. Read our interview with Eldad Klaiman

CUDA NEWS

New at GTC 2013: In addition to sessions, tutorials and keynotes, GTC will offer three days of hands-on labs focused on GPU programming.

Elemental + Kepler: Elemental announced support for Kepler-based Tesla GPU accelerators for its next-generation high-performance video processing systems. See press release and blog post.

Update from PGI: PGI 2013 offers an all-new GNU-compatible C++ compiler, with support for OpenACC, CUDA 5, Tesla K20 and more.

Upcoming CUDA Book: A new book on CUDA is on the way. The CUDA Handbook, intended for intermediate to advanced CUDA programmers, will be available for purchase by July. It is currently available as a “Rough Cut” on Safari Books Online, where readers can register to preview its content and submit feedback.

CUDA EDUCATION

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Intro to Parallel Programming
Explore parallel programming for the first time or push your knowledge even further with Udacity’s Intro to Parallel Programming. Units 1-3 are online now, with units 4-7 rolling out weekly. You can start at any time. Top performers in the course are eligible for awards including NVIDIA GPUs and AWS EC2 credits.

New CUDA Centers
Ten new institutions are now CUDA Research Centers and CUDA Teaching Centers, bringing the total to 238 in 42 countries. New CUDA Research Centers include Baylor College of Medicine/Rice University; Technion; IIT Delhi; and University of Missouri. In addition, NVIDIA announced additional benefits for CUDA Centers, including discounts on Tesla Kepler GPU accelerators from preferred solution providers.

Apply to become a CUDA Research Center | Apply to become a CUDA Teaching Center

CUDA JOB OF THE WEEK

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NVIDIA seeks a software QA engineer to join its CUDA qualification team and deliver CUDA drivers, libraries and runtime software for next generation GPUs for Apple products. Successful candidate will have a passion for GPU computing and the Mac platform.

NEW ON THE BLOGS

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Subscribe to the Parallel Forall RSS feedParallel Forall blog
Developing Portable CUDA C/C++ Code with Hemi, by Mark Harris
An Efficient Matrix Transpose in CUDA Fortran, by Greg Ruetsch
Kepler Texture Objects Improve Performance and Flexibility, by Mike Clark

NVIDIA blog
NVIDIA, Elemental Bring Video Content to Millions, by Keith Wymbs
10 New CUDA Research and Teaching Centers Announced, by Chandra Cheij
Why Computers Are Only Just Emerging as a Tool for Scientists, by Sumit Gupta

GPU MEETUPS

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Find a GPU Meetup in your location, or start one up. Upcoming meetings include:
Silicon Valley, Feb. 25
New Mexico, Feb. 26
New York, Feb. 27
Boston, Feb. 28
Brisbane, Feb. 28
New York, March 6

CUDA CALENDAR

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February - March


2-Day CUDA Training (AccelerEyes)
  Feb. 25-26, 2013, Houston, Texas

Intro to CUDA + OpenACC Course
  March 4-5, 2013, Hamburg, Germany
Sponsored by Applied Parallel Computing LLC
Contact: akomissarov@nvidia.com

2-Day CUDA Training (AccelerEyes)
  March 4-5, 2013, Washington, DC

CUDA\OpenACC Hands-on Course (Kiel University)
  March 6-8, 2013, Kiel, Germany
Contact: landreeva@nvidia.com

CUDA\OpenACC Hands-on Course (Bremen\Oldenburg University)
  March 11-13, 2013, Germany
Contact: landreeva@nvidia.com

4-Day CUDA Course - Oil & Gas (Acceleware)
  March 12-15, 2013, Houston, Texas
Instructor: Dr. Kelly Goss

HPC Advisory Council
  March 13-15, 2013, Lugano, Switzerland

OpenACC Hands-on Course (RWTH Aachen)
  March 14, 2013, Aachen, Germany
Contact: landreeva@nvidia.com

GPU Tech Conference (GTC 2013)
  March 18-21, 2013, San Jose, Calif.
Special code for CUDA newsletter readers: GM10CD

2-Day CUDA Training (AccelerEyes)
  March 25-26, 2013, Los Angeles, Calif.

CUDA\OpenACC Spring School (Riga Tech University)
  March 25-28, 2013, Riga, Latvia
Contact: landreeva@nvidia.com


April-May


Programming on the GPU with CUDA Course (TU Delft)
  April 26, 2013, Delft, Netherlands
Open to public
Instructors: Prof.dr.ir. C. Vuik and Ir. C.W.J. Lemmens

4-Day CUDA Course (Acceleware)
  May 7-10, 2013, San Francisco, Calif.
Instructor: Dr. Kelly Goss

Intro to GPGPU and CUDA Programming (CINECA)
  May 9-10, 2013, Bologna, Italy
(In English)

Intro to CUDA Programming (PRACE, BSC)
  June 3-7, 2013, Barcelona, Spain

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

CUDA RESOURCES

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GPU-Accelerated Apps

List of 200+ popular GPU-accelerated scientific and research applications (PDF 402KB).

GPU Test Drive

Want to try Tesla K20 for free? Sign up here.

CUDA Documentation

The new CUDA documentation site includes release notes, programming guides, manuals and code samples.

CUDA Online Courses

Udacity Course
Coursera Course

NVIDIA Developer Forums

Join us on the NVIDIA DevTalk forums to share your experience and learn from other developers. You can also ask questions on Stack Overflow, using the ‘cuda’ tag.

CUDA Consulting

Training, programming and project development services are available from CUDA consultants around the world. To be considered for inclusion on list, email: cuda_week_in_review@nvidia.com (with CUDA Consulting in subject line).

GPU Computing on Twitter

For daily updates about GPU computing and parallel programming, follow @gpucomputing on Twitter.

Downloads

CUDA 5
CUDA 5 survey
Nsight

CUDA on the Web

CUDA Spotlights
CUDA Newsletters
CUDA Zone
GPU Test Drive
GPUComputing.net
GPGPU.org

ABOUT CUDA

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. Send comments and suggestions on the newsletter to cuda_week_in_review@nvidia.com
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