NVIDIA Update: CUDA Week in Review (Spotlight on Deep Neural Networks; CUDA 6)
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Fri., April 25, 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 theParallel Forall blog.
CUDA SPOTLIGHT
GPU-Accelerated Deep Neural Networks
This week’s Spotlight is on Dr. Dan Ciresan, a senior researcher atIDSIA in Switzerland and a pioneer in using CUDA for Deep Neural Networks (DNNs). Dan’s methods have won international acclaim on topics such as recognizing handwritten Chinese characters and detecting mitosis in cancer histology images.Read the Spotlight.
CUDA NEWS
CUDA 6
The CUDA 6 Production Release is now available for download. This version further simplifies parallel programming withnew features such as Unified Memory; Drop-in Libraries; and Multi-GPU Scaling. To learn more, attend these CUDA 6 webinars:
- May 1: CUDA 6 Unified Memory
- May 7: CUDA 6 Drop-in Performance Optimized Libraries
- 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 reusable components designed by NVIDIA to accelerate bioinformatics applications using CUDA.
INCITE Call for Proposals
Accelerate your science on Titan, world’s #1 supercomputer for open science, by harnessing more than 20 petaflops of parallel processing using GPUs. Open to all across the globe. Get startedhere.
C-3PO and Machine Learning
Technologist Rob Farber recently taught a course on OpenACC and CUDA to college students at KAUST in Saudi Arabia. In addition, he had the opportunity to introduce parallel programming to high school and middle school students. He used the character C-3PO from Star Wars to represent machine learning and demonstrated how a GPU can learn to read. See more on Rob’s new blog:TechEnablement.
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 14, R. Walker, UCSD, S. Le Grand, Amazon, A. Roitberg, Univ. of 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 a Team of 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 May, 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 ’14
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 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 fromCUDA consultants around the world. To be 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 a CUDA developer, tell us how you are using CUDA.
GPU-Accelerated Apps
See 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. You can also ask questions onStack Overflow, using the ’cuda’ tag.
GPU Computing on Twitter
For daily updates about GPU computing and parallel programming, follow@gpucomputing on Twitter.
Downloads
CUDA
Nsight
CUDA on the Web
CUDA Spotlights
CUDA Newsletters
CUDA Zone
GPU Test Drive
GPUComputing.net
GPGPU.org
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Please fill out our reader survey so we can improve in 2014. Thanks!
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 acomplete toolkit for programming on the CUDA architecture, supportingstandard computing languages such as C, C++ and Fortran. Send comments tocuda_week_in_review@nvidia.com
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Copyright © 2014 NVIDIA Corporation. All rights reserved. 2701 San Tomas Expressway, Santa Clara, CA 95050.
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