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CUDA Week in Review Newsletter
Tues., Aug. 13, Issue #98 Newsletter Home


A news summary for the worldwide CUDA, GPGPU and parallel programming community.
CUDA Pro Tip: Get easy access to CUDA release notes, programming guides, API references and code samples in the CUDA documentation library.


Patrick Roye Shape Sensing with CUDA
This week’s Spotlight is on Patrick Roye of Luna, Inc., a pioneer in fiber-optics for minimally invasive diagnostics and surgery. Patrick and a team of engineers are developing a prototype system that uses CUDA to calculate the shape of a fiber-optic sensor in real-time. Read our interview with Patrick Roye.


NVIDIA Joins OpenPOWER Consortium
IBM launched the OpenPOWER Consortium, an open development alliance. NVIDIA, Google, Mellanox and Tyan are founding members. IBM and NVIDIA will collaborate to integrate the CUDA and POWER ecosystems. IBM’s Steve Mills commented: "The founding members represent the next generation in data-center innovation."

NVIDIA + The Portland Group
NVIDIA acquired The Portland Group (PGI), a leading supplier of compilers and tools. Read more in HPCwire and on the NVIDIA blog.

Russia to Fund International Scientific Collaborations
The Government of the Russian Federation has extended an open grant competition for international scientific collaborations related to high-performance and GPU-accelerated computing. For info, contact Anton Dzhoraev, NVIDIA Russia.

Do Science at Home with Your GPU
Read our new post about ways to use your GPUs for the greater good. As blogger David Murphy explains: "Your GPU is good for more than blasting through Battlefield 3 and exploring the virtual world of Skyrim."

Facebook for GPU Computing Fans
Robotics expert Martin Peniak of Plymouth University started a new Facebook page about GPU computing. He will be posting current news, papers, photos and videos here.

CUDA 5.5 Available to All
The CUDA 5.5 Production Release is now available.

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

Upcoming Webinars
Aug. 14: Beyond Real-time Video Surveillance Analytics with GPUs, Sadiye Guler, intuVision
Aug. 15: CUDA 5.5 Production Release: Features Overview, Ujval Kapasi, NVIDIA
Sept. 5: Data Discovery through High-Data-Density Visual Analysis, Jan-Kees Bruenen, SynerScope
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


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Subscribe to the Parallel Forall RSS feed Parallel Forall:
CUDACasts #5: Install CUDA 5.5 with a Linux Package Manager, by Mark Ebersole
CUDACasts #4: Single-GPU Debugging with CUDA 5.5, by Mark Ebersole

20 New CUDA Research and Teaching Centers, by Chandra Cheij
5 Ways You Can Use Your GPU to Do Science at Home, by David Murphy


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PhD fellowships are available at the Technical University of Catalonia (UPC)/CIMNE in Barcelona. Focus is on development, implementation and analysis of high-performance solver codes based on domain decomposition techniques. Excellent programming skills required.


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Want to improve your skills? Enroll in the open online course Intro to Parallel Programming.
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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Beyond Real-time Video Surveillance Analytics with GPUs (Webinar)
  Aug. 14, 2013, 10 am pacific
Presenter: Dr. Sadiye Guler, intuVision

CUDA 5.5 Production Release: Features Overview (Webinar)
  Aug. 15, 2013, 10 am pacific
Presenter: Ujval Kapasi, NVIDIA


2-Day CUDA Training (AccelerEyes)
  Sept. 2-3, 2013, Boston, Mass.

Data Discovery through High-Data-Density Visual Analysis (Webinar)
  Sept. 5, 2013
Presenter: Jan-Kees Bruenen, SynerScope

Parallel Processing and Applied Mathematics Conference
  Sept. 8-11, 2013, Warsaw, Poland

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

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

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

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


AMBER Workshop 2013
  Oct. 7-11, 2013, Pernambuco, Brazil

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

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

(To list an event, email:


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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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