Welcome to CUDA: WEEK IN REVIEW, a news summary for the worldwide CUDA, GPGPU and parallel programming community. |
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Register for GTC 2013, the world’s premier CUDA developer conference (Discount code for newsletter readers: GM10CD)
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CUDA Newsletter Reader Survey: We want to hear from you
Please take a minute to fill out our reader survey so we can improve the newsletter in 2013. Thanks! |
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CUDA Tech Tip: Flush denormals with confidence
It pays to understand numerical requirements of your code. You may be able to get a big performance boost by using the compiler command line option “–ftz=true” if you use operations like sqrtf() and rsqrtf() and you don’st need denormal support. Learn more on Parallel Forall. |
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CUDA SPOTLIGHT |
GPU-Accelerated Brownout Simulations
This week’s Spotlight is on Monica Syal, an aerospace engineer at Sunnyvale, Calif.-based Advanced Rotorcraft Technology (ART).
Monica's responsibilities include development of a real-time pilot-in-the-loop rotorcraft brownout simulation and mitigation methodology for flight simulator applications. Read our interview with Monica Syal |
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CUDA NEWS |
CUDA 5 Performance Report Now Available
Learn how your application can run faster on a Tesla K20 GPU Accelerator, simply by dropping in a GPU-accelerated library.
• Download the new CUDA 5 Performance Report (PDF 1.06 MB)
• Register for CUDA 5 Math Library Performance Overview webinar, Wed., Feb. 6
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New: SIMD-in-a-Word Source Code
NVIDIA posted new source code for CUDA Registered Developers which provides “SIMD-within-a-word” functionality, useful for simulation and image processing codes.
• See the DevTalk Forum announcement
• Join the CUDA Registered Developers program
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CUDA EDUCATION |
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Udacity Parallel Programming Course Launches This Week!
Sign up for Intro to Parallel Programming. Learn more about Udacity.
AccelerEyes Training Courses Announced
AccelerEyes has announced CUDA trainings in the U.S. for 2013. Visit AccelerEyes Training. |
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CUDA JOB OF THE WEEK |
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Crane, the well-known banknote and stationery company, seeks a Software and Design Engineer. Experience with AutoCAD, Python, C, C++ and CUDA C preferred. |
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FROM THE BLOGOSPHERE |
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New on the NVIDIA blog:
Just Mix Water with GPUs..., by Roy Kim
New on the Parallel Forall blog: Using Shared Memory in CUDA C/C++, by Mark Harris
(Subscribe to the Parallel Forall RSS feed) |
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GPU MEETUPS |
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Find a GPU Meetup in your location, or start one up. Upcoming meetings include:
Paris, Feb. 18
Silicon Valley, Feb. 25
New York, Feb. 27
Boston, Feb. 28
Brisbane, Feb. 28
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CUDA CALENDAR |
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February
HPC Advisory Council Stanford Conference
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Feb. 7-8, 2013, Stanford, Calif.
Open to the public Note: NVIDIA's Sarah Tariq to present on scaling applications on large GPU clusters |
Intro to CUDA + OpenACC Course
Winter GPU Computing School (Moscow State University)
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Feb. 20-22, 2013, Moscow, Russia |
2-Day CUDA Training (AccelerEyes)
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Feb. 25-26, 2013, Houston, Texas |
March
Intro to CUDA + OpenACC Course
2-Day CUDA Training (AccelerEyes)
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March 4-5, 2013, Washington, DC |
4-Day CUDA Course - Oil & Gas (Acceleware)
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March 12-15, 2013, Houston, Texas
Instructor: Dr. Kelly Goss |
HPC Advisory Council
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March 13-15, 2013, Lugano, Switzerland |
GPU Tech Conference (GTC 2013)
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March 18-21, 2013, San Jose, Calif. Special code for CUDA newsletter readers: GM10CD |
2-Day CUDA Training (AccelerEyes)
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March 25-26, 2013, Los Angeles, Calif. |
April-May
4-Day CUDA Course (Acceleware)
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May 7-10, 2013, San Francisco, Calif. Instructor: Dr. Kelly Goss |
(To list an event, email: cuda_week_in_review@nvidia.com) |
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CUDA RESOURCES |
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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
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