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CUDA Week in Review Newsletter
Tues., Jan. 14, 2014, Issue #105 Newsletter Home

Welcome to CUDA: Week In Review, news and resources for the worldwide parallel programming community.

Happy New Year!
To usher in 2014, the NVIDIA team suggests these Top 10 New Year’s Resolutions:
  1. Register for GPU Tech Conference, Mar. 24-27, San Jose, Calif.
  2. Join CUDA Reg Dev Program for early access, exclusive downloads
  3. Download CUDA Toolkit 5.5
  4. Learn what’s coming in CUDA 6 (video)
  5. Test drive new Kepler GPU accelerator
  6. Visit Parallel Forall blog
  7. Watch OpenACC CUDACast (video)
  8. Sign up for hands-on labs
  9. Add CUDA to your LinkedIn skills
  10. Attend or start a GPU Meetup
And, please take a minute to fill out our reader survey so we can improve the newsletter in 2014. Thanks!
CUDA Pro Tip: A new profiling feature in CUDA 5.5 allows you to profile the clocks, power and thermal characteristics of the GPU as it executes your code. Learn more at Parallel Forall.


Nestor GomezGPU-Accelerated Augmented Reality
This week’s Spotlight is on Nestor Gomez, CEO of Artefacto Estudio, developer of interactive apps and games in Mexico City. Read the Spotlight.


GTC 2014 RegistrationGTC 2014 Registration is Open
The GPU Tech Conference (March 24-27) is the world’s leading event for GPU developers. It will feature 500 sessions, hands-on labs and opportunities for 1:1 interaction with industry influencers and technologists.
- Registration is open (CUDA newsletter readers: 20% discount with GM20CD code).
- It’s not too late to submit your work. Call for posters is open through Jan 31.

NVIDIA Tegra K1NVIDIA Tegra K1 Announced
At the Computer Electronics Show last week in Las Vegas, NVIDIA announced Tegra K1, the first mobile processor to support CUDA. In addition to its graphics and compute capabilities, Tegra K1 delivers breakthrough efficiency.


Need CUDA training or advice? See list of worldwide CUDA trainers and consultants.
Want to learn about parallel programming? Sign up for Udacity CS344.


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Jan. 16: OpenMM: Accelerating, Customizing MD Simulations on GPUs, V. Pande, Stanford
Jan. 21: Using HOOMD-blue for Polymer Simulations and Big Systems, J. Glaser, Univ. of Michigan
Jan. 23: Tesla K40, World’s Fastest GPU Accelerator, G. Gupta, NVIDIA
Jan. 29: GPU Database for Big Data Analytics, Interactive Visualization, T. Mostak, T. Graham, map-D
Jan. 30: Debugging CUDA Fortran using Allinea


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Jan. 16: Sydney
Jan. 23: Seattle
Jab. 23: Brisbane
Jan. 27, Silicon Valley
Jan. 27: Chicago
Jan. 28: Paris
Jan. 29: New York City
Feb. 1: Minneapolis

Note: New GPU Meetups have launched in Russia and Norway.


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Subscribe to the Parallel Forall RSS feed Parallel Forall:
AmgX: Multi-Grid Accelerated Linear Solvers for Industrial Applications, by Joe Eaton
Peer-to-Peer Multi-GPU Transpose in CUDA Fortran, by Greg Reutsch
CUDACasts Episode 13: Clock, Power, and Thermal Profiling, by Mark Ebersole
Subscribe to NVIDIA RSS feed NVIDIA:
5 Advanced Technologies on NVIDIA's CES Booth, by Brian Caulfield


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CUDA Programming Course (Delft University of Technology)
  Jan. 24, 2014, Delft, Netherlands
Teachers: C. Vuik and Ir. C.W.J. Lemmens

Cloud, Grid and Database Computing (Liguria District of Marine Technology)
  Jan. 29, 2014, La Spezia, Italy

CUDA and OpenACC Training (Univ. of Madrid)
  Feb. 12-13, 2014, Madrid, Spain

GPU Programming and Applications Workshop (IIT Bombay)
  Feb. 24-26, 2014, Mumbai, India

4-Day CUDA Course (Acceleware)
  Feb. 25-28, 2014, Baltimore, Maryland

  March 1-5, 2014, Salt Lake City, Utah

GPU Technology Conference (GTC 2014)
  March 24-27, 2014, San Jose, Calif.
500 sessions | Hands-on developer labs & tutorials
Meet with luminaries, technologists and peers from 50+ countries

4-Day CUDA Course (Acceleware)
  May 6-9, 2014, Calgary, AB, Canada

IEEE Int’l Parallel & Distributed Processing Symposium
  May 19-23, 2014, Phoenix, Arizona

(To list an event, email:


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Online Learning

Udacity | Coursera

Online CUDA Course in Russian

Try out this new course designed for Russian speakers.

GPU Test Drive

Want to try Tesla K40 for free? Sign up here.


Check out our new series of short videos about CUDA.

Tell Us Your CUDA Story

If you are a CUDA developer, tell us how you are using CUDA. Your submission will be considered for display on the NVIDIA website.

GPU-Accelerated Apps

See updated list of 240+ GPU-accelerated applications.

GPU Meetups

Learn about Meetups in your city, or start one up.

The Best of GTC 2013, Online

GTC 2013 featured over 400 sessions on breakthroughs made with GPUs in science, technology, and industry. Experience it by visiting

CUDA Documentation

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

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:

GPU Computing on Twitter

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



CUDA on the Web

CUDA Spotlights
CUDA Newsletters
GPU Test Drive

NVIDIA Newsletters

Sign up for NVIDIA Newsletters, including Media & Entertainment, GeForce, NVIDIA GRID VDI and Shield.


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 to
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