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CUDA Week in Review Newsletter
Tues., Sept. 10, Issue #100 Newsletter Home


A news summary for the worldwide CUDA, GPGPU and parallel programming community.
CUDA Pro Tip: GPU libraries provide an easy way to accelerate apps without writing GPU-specific code. The CUDA 5.5 version of the NVIDIA CUFFT Fast Fourier Transform library now supports the popular FFTW API. Learn more in CUDACast #8.


Dr. Adam Gazzaley CUDA-Accelerated Neuroscience
This week’s Spotlight is on Dr. Adam Gazzaley, of UC San Francisco, where he is the founding director of the Neuroscience Imaging Center and an Associate Professor in Neurology, Physiology and Psychiatry.

His laboratory studies neural mechanisms of perception, attention and memory, with an emphasis on the impact of distraction and multi-tasking on these abilities. Learn how Adam is using GPU computing in his research.


Nsight Visual Studio Edition 3.1
NVIDIA Nsight Visual Studio Edition 3.1 is available for download. Now supporting Visual Studio 2012, Direct3D 11.1 and CUDA 5.5.

MATLAB Extends GPU support for Image Processing
The MathWorks R2013b release now supports 34 GPU-enabled Image Processing Toolbox functions.  In this release, GPU support was added in the areas of object analysis, filtering and image type conversions. Parallel Computing Toolbox includes a new option for faster random number generation on the GPU, and continues to add more GPU-enabled functions.
More info on GPU computing in MATLAB  |   MATLAB supports CUDA kernel development

GPU Computing on LinkedIn
Groups on LinkedIn are a great way to network and keep up with industry news. Here are a few suggestions:
CUDA Developers  |  CUDA Users Group  |  GPGPU Users  |  HPC Professionals

CUDA Summer Camp
NVIDIA Japan hosted a CUDA summer camp for high school students in August at the Tokyo Institute of Technology. 75 high school students (and two junior high school students) participated. Instructors included Prof. Takayuki Aoki and Prof. Takashi Shimokawabe of Tokyo Tech.

GTC 2014 Call for Submissions
Call for Submissions for the GPU Technology Conference (March 24-27, 2014) is open through Sept. 27.

Compute the Cure
The NVIDIA Foundation is awarding up to $200k to a selected cancer research project. Applications are due by Oct. 7. Learn more.

Upcoming Webinars
Sept. 10: Virtualizing Tough 3D Workloads with VMware and NVIDIA, Mike Coleman, VMware
Sept. 12: Guided Performance Analysis with NVIDIA Visual Profiler, David Goodwin, NVIDIA
Sept. 17: ArrayFire: Productive GPU Software Library for Defense, Kyle Spafford, AccelerEyes
Sept. 19: Debug OpenGL 4.2 with NVIDIA Nsight Visual Studio Edition 3.1, Daniel Price, NVIDIA
Sept. 25: An Introduction to GPU Programming, Kelly Goss, Acceleware
Sept. 26: Profile OpenGL 4.2 with NVIDIA Nsight Visual Studio Edition 3.1, Jeff Kiel, NVIDIA


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Subscribe to the Parallel Forall RSS feed Parallel Forall:
CUDA Pro Tip: Generate Custom Application Profile Timelines with NVTX, by Jiri Kraus
CUDACasts Episode #8: Accelerate FFTW apps with CUFFT 5.5, by Mark Ebersole

Former Dead Drummer Has Rhythm on the Brain, by Calisa Cole


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L-3 Cincinnati Electronics seeks image processing engineer for the infrared products business group, to participate on team that designs and implements real-time image processing systems. Experience with CUDA and VHDL required.


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Want to improve your technical skills? Sign up for Intro to Parallel Programming.
Need CUDA advice? See list of worldwide CUDA trainers and consultants.
Have CUDA questions? Check out NVIDIA DevTalk forums and Stack Overflow.
Require fast access to docs? Visit the CUDA doc library.


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Guided Performance Analysis with NVIDIA Visual Profiler (Webinar)
  Sept. 12, 2013
Presenter: David Goodwin, NVIDIA

CUDA Programming Course (Delft University of Technology)
  Sept. 13, 2013, Delft, Netherlands

GROMACS USA Workshop and Conference
  Sept. 13-15, 2013, Charlottesville, Virginia

ArrayFire: Productive GPU Software Library for Defense (Webinar)
  Sept. 17, 2013
Presenter: Kyle Spafford, AccelerEyes

Debug OpenGL 4.2 with NVIDIA Nsight Visual Studio Edition 3.1 (Webinar)
  Sept. 19, 2013
Presenter: Daniel Price, NVIDIA

SPIE Conference on High-Performance Computing in Remote Sensing
  Sept. 23-26, 2013, Dresden, Germany.

2-Day GPU Computing Workshop (Nextron)
  Sept. 24-25, Oslo, Norway
Registration page in Norwegian []

4-Day CUDA Course (Acceleware)
  Sept. 24-27, 2013, Frankfurt, Germany

An Introduction to GPU Programming (Webinar)
  Sept. 25, 2013
Presenter: Kelly Goss, Acceleware

Profile OpenGL 4.2 and NVIDIA Nsight Visual Studio Edition 3.1 (Webinar)
  Sept. 26, 2013
Presenter: Jeff Kiel, NVIDIA

2-Day CUDA Training (AccelerEyes)
  Sept. 23-24, 2013, Washington, D.C

October - November

  Oct. 7-11, 2013, Recife, Pernambuco, Brazil
Instructors: A. Roiberg, R. Walker, S. LeGrand, R. Salomon-Ferrer

2-Day CUDA Training (AccelerEyes)
  Oct. 7-8, 2013, Houston, Texas

2-Day CUDA Training (AccelerEyes)
  Oct. 21-22, 2013, Atlanta, Georgia

SC ‘13
  Nov. 17-22, 2013, Denver, Colorado

(To list an event, email:


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Check out our new series of short videos about CUDA.

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

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:

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 to
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