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CUDA Week in Review Newsletter
Fri., March 8, 2013, Issue #90 Newsletter Home
Welcome to CUDA: WEEK IN REVIEW, a news summary for the worldwide CUDA, GPGPU and parallel programming community.
GTC 2013 is 1 week away! Register today for the world’s premier CUDA developer conference. Register for GTC 2013, the world’s premier CUDA developer conference
(Discount code for newsletter readers: GM10CD)

GTC 2013
CUDA Pro Tip: Use shared memory to maximize data locality and reuse in 3D Finite Difference codes. Learn how in this Parallel Forall blog post.

CUDA SPOTLIGHT
Eldad Klaiman GPUs for High–Performance Embedded Systems
This week’s Spotlight is on Ian Lintault, managing director at nCore Design. nCore is focused on applications that require high compute performance and low latency in embedded form factors.

Ian comments: “GPUs offer the programmer a very powerful mechanism to offload computationally intensive portions of an algorithm….” Read our interview with Ian Lintault

CUDA NEWS
GTC 2013: Have you registered for GTC yet? In addition to sessions, tutorials and hands-on labs, there's a fun lineup of networking and social events, including dining at local restaurants, an action-packed Casino Night party, and more. Sign up today.

MATLAB Webinar: Accelerating Signal Processing and Communications Algorithms Using GPU Computing (by Kirthi Devleker, MathWorks) is now available for replay.

OpenMM Update: The OpenMM Visiting Scholar Program will select up to three individuals this year to visit Stanford University to advance their OpenMM projects. OpenMM is an open-source software project led by Dr. Vijay Pande that enables molecular dynamic calculations to be accelerated on high-performance computer architectures.

New Optics Paper: Check out Real-time GPU-based 3D Deconvolution by Marc A. Bruce and Manish J. Butte, Stanford University.

Intro to Parallel Programming: Explore parallel programming for the first time or push your knowledge even further with Udacity’s Intro to Parallel Programming course. Units 1-5 are online, with units 6-7 rolling out shortly.

CUDA Centers: There are now over 230 CUDA Research Centers and Training Centers worldwide. Recently, NVIDIA announced that CUDA Centers are eligible for discounts on Tesla Kepler GPU accelerators from preferred solution providers. Apply to become a CUDA Research Center or CUDA Teaching Center.

CUDA JOB OF THE WEEK

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TraceVector, a network security company, seeks Machine Learning Whiz/Senior Parallel Programmer with strong background in math and machine learning. CUDA experience preferred. TraceVector develops a platform that leverages data analytics to protect enterprises from zero day and other threats. Location: San Jose, Calif. Contact: careers@tracevector.com

NEW ON THE BLOGS

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Subscribe to the Parallel Forall RSS feedParallel Forall blog
Finite Difference Methods in CUDA C/C++, Part 1, by Mark Harris
Finite Difference Methods in CUDA Fortran, Part 1, by Greg Ruetsch
An Efficient Matrix Transpose in CUDA C/C++, by Mark Harris

NVIDIA blog
From Climate Modeling to Crysis 3 – GeForce GTX TITAN, by Brian Caulfield

GPU MEETUPS

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The GPU Meetups continue to gain steam. Find a GPU Meetup in your location or start one up. The three largest are:
     • New York City: 879 members; Organizer: Andrew Sheppard, Ultima Thule
     • Silicon Valley: 596 members; Organizer: Jike Chong, CMU Silicon Valley
     • Boston: 283 members; Organizer: Eliot Eshelman, Microway

Upcoming meetings: Paris, March 18; Silicon Valley, March 19; New York, March 27; Brisbane, March 28

CUDA CALENDAR

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March


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

OpenMM Workshop
  March 26-29, 2013, Stanford, Calif.
Note: For people interested in accelerating MD simulations on GPUs and/or developing new MD algorithms that can automatically be implemented and accelerated on GPUs.


April-May-June


CUDA/OpenACC Hands-on Course (Goettingen University)
  April 2-4, 2013, Goettingen, Germany
By Applied Parallel Computing
Contact: landreeva@nvidia.com

Dell HPC Solutions Workshop
  April 4, 2013, Rosemont, Illinois

CUDA/OpenACC Hands-on Course (Munich Tech. University)
  April 16-18, 2013, Munich, Germany
By Applied Parallel Computing
Contact: landreeva@nvidia.com

GPGPU Continuum Workshop (TCE, Sagivtech)
  April 25, 2013, Haifa, Israel
Committee: Prof. Avi Mendelson, Ofer Rosenberg, Dr. Chen Sagiv

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

4-Day CUDA Course (Acceleware)
  June 25-28, 2013, San Francisco, Calif.
Instructor: Dr. Kelly Goss

(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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