Share:   Facebook Twitter Linked-in Google Reddit Stumbleupon email
CUDA Week in Review Newsletter
Fri., April 12, 2013, Issue #91 Newsletter Home
Welcome to CUDA: WEEK IN REVIEW, a news summary for the worldwide CUDA, GPGPU and parallel programming community.
CUDA Pro Tip: CUDA-aware MPI not only makes it easier to work with a CUDA+MPI application, it also makes the application run more efficiently. Learn more in this Parallel Forall blog post.


Anne C. Elster GPU-Accelerated Imaging and Simulations
This week’s Spotlight is on Anne C. Elster, Associate Professor, Norwegian University of Science and Technology (NTNU), and Visiting Scientist, University of Texas at Austin. More than 25 of Anne’s graduate students have completed theses on GPU and heterogeneous computing. Read our interview with Anne Elster.


MATLAB Adds GPU Computing Features
The MathWorks R2013a release has expanded the GPU computing capabilities in MATLAB. Image Processing Toolbox has enabled 11 functions for use with the GPU, including functions for morphological filtering and 2D filtering. Parallel Computing Toolbox continues to make performance improvements and expand its GPU-enabled MATLAB functions, and also added the ability to launch CUDA code and manipulate data contained in GPU arrays from MEX functions. Info on GPU computing with MATLAB | Info on R2013a release


back to the top
Siemens Corporate Technology in Bangalore seeks a candidate to lead R&D activities in Parallel Systems Research Group. Requirements include familiarity with emerging HPC trends and experience in parallel computing. Learn more here.


back to the top
Intro to Parallel Programming: Explore parallel programming for the first time or push your knowledge even further with Intro to Parallel Programming on the Udacity platform.


back to the top
Subscribe to the Parallel Forall RSS feedParallel Forall blog
Finite Difference Methods in CUDA Fortran, Part 2, by Greg Ruetsch
Benchmarking CUDA-Aware MPI, by Jiri Kraus
Introduction to CUDA-Aware MPI, by Jiri Kraus

GPU Computing Geniuses, by Chandra Cheij
GPUs Helping Californians Prepare for the Big One, by Roy Kim


back to the top
Have you been to a Meetup yet? Check one out or start your own. Upcoming events:
Paris, April 16
New York, April 17
Melbourne, Florida, April 18
Silicon Valley, April 22
New Mexico, April 24
Brisbane, April 25
Toronto, April 25
Sydney, May 2


back to the top


2-Day CUDA Training (AccelerEyes)
  April 15-16, 2013, San Francisco, Calif.

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

2-Day CUDA Training (AccelerEyes)
  April 22-23, 2013, Seattle, Wash.

GPUs Accelerating Research Workshops
  April 24-25, 2013, Boston, Mass.
Day one hosted by Northeastern University
Day two hosted by Boston University

Optimization Techniques for Kepler and Fermi Architecture (Webinar)
  April 25, 2013, 9:00 a.m. pacific time

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
Instructors: C. Vuik and Ir. C.W.J. Lemmens


2-Day CUDA Training (AccelerEyes)
  May 6-7, 2013, Austin, Texas

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)

Molecular Shape Searching on GPUs: Brave New World (Webinar)
  May 22, 2013, 9:00 am pacific time
Presenter: Paul Hawkins, OpenEye

2-Day CUDA Training (AccelerEyes)
  May 27-28, 2013, Atlanta, Georgia

June - July

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

Rencontre des Chimistes Theoriciens du Grand-Est
  June 7-8, 2013, Reims, France

2-Day CUDA Training (AccelerEyes)
  June 10-11, 2013, Baltimore-Washington, DC

International Supercomputing Conference (ISC)
  June 16-20, 2013, Leipzig, Germany
Hands-On with CUDA tutorial by NVIDIA, June 16, 9:00 am
Hands-On with OpenACC tutorial by NVIDIA, June 16, 2:00 pm

4-Day CUDA Course (Acceleware)
  June 25-28, 2013, Calgary, AB, Canada
Instructor: Dr. Kelly Goss

PUMPS Summer School
  July 8-12, 2013, Barcelona, Spain
Co-Directors: Mateo Valero (BSC, UPC) and Wen-mei Hwu (University of Illinois)

(To list an event, email:


back to the top

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: (with CUDA Consulting in subject line).

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


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
You are receiving this email because you have previously expressed interest in NVIDIA products and technologies. Click here to opt in specifically to CUDA: Week in Review.
Feel free to forward this email to customers, partners and colleagues.

To ensure that messages from NVIDIA arrive in your inbox safely, please add to your e-mail address book or Safe Sender list.

Copyright © 2013 NVIDIA Corporation. All rights reserved. 2701 San Tomas Expressway, Santa Clara, CA 95050.