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CUDA Week in Review Newsletter
Fri., Dec. 14, 2012, Issue #86 Newsletter Home
Welcome to CUDA: WEEK IN REVIEW, a news summary for the worldwide CUDA, GPGPU and parallel programming community.
HAPPY HOLIDAYS TO ALL! HAPPY HOLIDAYS TO ALL!
CUDA: Week in Review will resume in January 2013. If you have ideas on how we can improve the newsletter, please complete this 1-minute survey.
CUDA TECH TIP: nvprof is an easy, powerful and scriptable way to profile your CUDA application from the command line. Learn about it in the latest Parallel Forall blog posts on CUDA C++ and CUDA Fortran.

CUDA SPOTLIGHT
Steve Forde GPU-Accelerated Motion Graphics
This week’s Spotlight is on Steve Forde of Adobe. Steve is responsible for Adobe’s visual effects product line, including Adobe After Effects in Creative Suite 6, which offers a new GPU-accelerated 3D ray-traced compositing workflow capability.

Read our interview with Steve Forde.

CUDA NEWS
GTC 2013 Registration Is Open
Registration is open for the GPU Technology Conference (GTC), March 18-21, 2013, San Jose, California. GTC 2013 will deliver valuable content for scientists and researchers, and is expanding to include additional areas where the GPU is central to innovation, such as computer graphics, cloud graphics, game development and mobile computing. Secure your spot today. Special 10% discount code for newsletter readers: GM10CD
Registration
Sessions and Tutorials
Travel and Hotels
Call for Posters

Try Tesla K20
Speed up your application with NVIDIA Tesla K20 GPU Accelerators. Built on the Kepler compute architecture, Tesla K20 offers innovative technologies like Dynamic Parallelism and Hyper-Q to boost performance and power efficiency.
Special offer: Purchase a K20 GPU Accelerator by Jan. 27 and receive free GTC 2013 pass (US only).
GPU test drive: Take a free and easy test drive to see how Tesla K20 can accelerate your code.

Right Around the Corner…
Register today for these interesting events coming up in the New Year:

CUDA in Chicago
Jan. 29-Feb. 1, 2013, Chicago, Illinois
Four-day course by Acceleware
Designed for programmers looking to develop skills in writing and optimizing applications that fully leverage the multi-core processing capabilities of GPUs.

Titan Users and Developers Workshop (West Coast)
Jan. 29-31, 2013, Santa Clara, Calif.
Three-day workshop by Oak Ridge Leadership Computational Facility (OLCF)
An intense hands-on training on Titan, the world’s fastest supercomputer. Topics will cover everything from utilization of Oak Ridge resources to advanced GPGPU programming techniques.

Signal Processing & Communications Algorithms Using GPU Computing in MATLAB
Jan. 31, 2013
Webinar by MathWorks
This webinar will teach you how to leverage the computing power of GPUs to accelerate signal processing and communications applications in MATLAB, with minimal programming effort.

GPU THESIS WATCH
Title: All-Pairs Shortest Path Algorithms Using CUDA
Author: Jeremy M. Kemp, Durham University
Advisor: Professor Iain Stewart
Dept: School of Engineering & Computing Sciences

CUDA JOB OF THE WEEK

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The Honda Research Institute USA seeks talented candidates to conduct research on vision-based driver assistance systems. Requirements include strong skills in C/C++ and CUDA. Contact fulltime@honda-ri (dot) com (with job #P11F05 in subject line).

FROM THE BLOGOSPHERE

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Subscribe to the Parallel Forall RSS feed New on the Parallel Forall Blog:
How to Overlap Data Transfers in CUDA Fortran, by Greg Ruetsch
How to Optimize Data Transfers in CUDA Fortran, by Greg Ruetsch
How to Optimize Data Transfers in CUDA C++, by Mark Harris
(Subscribe to the Parallel Forall RSS feed)
Subscribe to NVIDIA RSS feed New on the NVIDIA blog:
How Gaming PCs Can Help In the Battle Against AIDS, by George Millington
GPU Startup Story: Fuzzy Logix Brings Clarity to Analytics, by Gary Rainville

GPU MEETUPS

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Find a GPU Meetup in your location, or start one up. Upcoming meetings include:
Paris, Dec. 18
New York, Dec. 20
Paris, Jan. 15
Brisbane, Jan. 24
New York, Jan. 24
Silicon Valley, Jan. 28

CUDA CALENDAR

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4-Day CUDA Course (Acceleware)
  Jan. 29-Feb. 1, 2013, Chicago, Illinois
Instructor: Dr. Kelly Goss

Titan Users and Developers Workshop (West Coast)
  Jan. 29-31, 2013, Santa Clara, Calif.
Hands-on training on Titan, the world’s fastest supercomputer

Signal Processing & Communications Algorithms Using GPU Computing (Webinar)
  Jan. 31, 2013
Instructor: Kirthi Devleker, MathWorks

HPC Advisory Council Stanford Conference
  Feb. 7-8, 2013, Stanford, Calif.
Open to the public

4-Day CUDA Course - Oil & Gas (Acceleware)
  March 12-15, 2013, Houston, Texas
Instructor: Dr. Kelly Goss

GPU Tech Conference (GTC 2013)
  March 18-21, 2013, San Jose, Calif.
Call for Posters
Developer Tutorials
Session Samples

(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.

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

NVIDIA Tesla K20 and K20X
NVIDIA Tesla K20 and K20X GPU Accelerators are now available.

CUDA Education
NEW Coursera Course
NEW Udacity Course
NEW Book: CUDA Programming, by Shane Cook

NVIDIA Developer Forums
The new NVIDIA developer forums are now live. Join the new online community to learn from other developers and share your experience.

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
CARMA

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
Copyright © 2012 NVIDIA Corporation. All rights reserved.
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