NVIDIA Update:cuda Week in Review (Spotlight on Deep neural; CUDA 6)

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Fri., April, 2014, Issue #110

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Welcome to Cuda:week in Review
News and resources for the worldwide GPU and parallel programming community.

CUDA PRO TIP

CUDA 6 XT Library interfaces can automatically scale large matrix multiplies and 2D and 3D FFTs to multiple GPUs. Learn more on the Parallel forall blog.

CUDA SPOTLIGHT

gpu-accelerated Deep Neural Networks
This week ' s Spotlight are on Dr. Dan Ciresan, a senior researcher at Idsia in Switzerland and a pioneer I N using CUDA for Deep neural Networks (Dnns). Dan ' s methods have won international acclaim on topics such as recognizing handwritten Chinese characters and detecting mi Tosis in cancer histology images. Read the Spotlight.

CUDA NEWS

CUDA 6
The CUDA 6 Production release are now available for download. This version further simplifies parallel programming with new features such as unified; Drop-in libraries; and Multi-gpu scaling. To learn further, attend CUDA 6 Webinars:may 1:cuda 6 Unified Memory may 7:cuda 6 drop-in performance optimized LIBR Aries may 14:cuda 6 performance Review

Bioinformatics + CUDA
Interested in bioinformatics? Check out the new Nvbio page on CUDA Zone. Nvbio is a library of the reusable components designed by NVIDIA to accelerate bioinformatics applications using CUDA.

Incite Call for Proposals
Accelerate your Titan, world's #1 supercomputer for open, by harnessing than of petaFLOPS Lel processing using GPUs. Open to all across the globe. Get started here.

C-3PO and Machine Learning
Technologist Rob Farber recently taught a course on OPENACC and CUDA to college students at KAUST in Saudi. In addition, his had the opportunity to introduce parallel programming to high school and middle school. He used the "character C-3po from Star Wars to represent machine learning and demonstrated how-a GPU can learn to read." Blog:techenablement on Rob ' s new.

Upcoming GPU Webinars

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May 1:cuda 6 Unified Memory, M. Ebersole
May 7:cuda 6 drop-in performance optimized libraries
May 13:overview of AMBER, R. Walker, UCSD, S. Le Grand, Amazon, A. Roitberg, Univ. Florida
May 14:cuda 6 Performance Review, J. Cohen
May 22:c++ on GPUs Using Openacc and PGI compilers, M. Wolfe
June 3:next Steps for Folding@home, v. Pande, Stanford

NEW on the BLOG

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Parallel forall:
Compilation/linking of CUDA C + + Device Code, T. Scudiero, M. Murphy
5 powerful New Features in CUDA 6, M. Harris

NVIDIA:
How to engineers helps the best developers get even Better, L. Gomes

CUDA CALENDAR

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2014


4-day CUDA Course (acceleware)

May 6-9, 2014, Calgary, AB, Canada


2-day Workshop on Computer Vision and GPUs (JGPU14)

May 8-9, 2014, Alicante, Spain


IEEE Int ' L Parallel & Distributed Processing Symposium

May 19-23, 2014, Phoenix, Arizona


Prace Scientific and Industrial Conference

May 20-22, 2014, Barcelona Spain


Amber Workshop 2014

June 2-7, 2014, Barcelona, Spain
Instructors:ross Walker & Adrian Roitberg


1-day CUDA Course (Delft University of Technology)

June 5, 2014, DELFT, Netherlands
Instructors:kees Vuik & Kees Lemmens


Intro to GPGPU programming (Xsede)

June 16-20, 2014
(Virtual course delivered at multiple locations)


ISC '

June 22-26, 2014, Leipzig, Germany


4-day CUDA Course (acceleware)

June 24-27, 2014, San Jose, Calif.


programming Heterogeneous Systems in Physics (Workshop)

July 14-15, 2014, Jena, Germany


GPUs and scientific applications (University of Alicante)

July 21-24, 2014, Alicante, Spain


HPCs 2014

July 21-25, 2014, Bologna, Italy

(to the list an event, email:cuda_week_in_review@nvidia.com)

CUDA Resources

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Online Learning

Udacity | Coursera | APC Russia

CUDA Consulting

Training, programming and project development services are available from CUDA consultants to the world. To is considered for inclusion on list, email:cuda_week_in_review@nvidia.com.

GPU Test Drive

Want to try Tesla K40 for free? Sign up here.

cudacasts

Check out our new series of short videos about CUDA.

Tell Us Your CUDA Story

If you are are a CUDA developer, tell us how to are using CUDA.

gpu-accelerated Apps

Updated list of 270+ gpu-accelerated applications.

GPU meetups

Learn about meetups in your city, or start one up.

CUDA Documentation

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

NVIDIA Developer Forums

Join us on the NVIDIA Devtalk forums to share your experience and learn from other developers. can also ask questions on Stack Overflow, using the ' cuda ' tag.

GPU Computing on Twitter

For the daily updates about the GPU computing and parallel programming, follow @gpucomputing on Twitter.

Downloads

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CUDA Spotlights
CUDA Newsletters
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gpgpu.org

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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 As C, C + + and Fortran. Send comments to Cuda_week_in_review@nvidia.com

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