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CUDA Week in Review Newsletter
Tues., Feb. 18, 2014, Issue #107 Newsletter Home
Welcome to CUDA: Week In Review, news and resources for the worldwide GPU and parallel programming community.
CUDA Pro Tip: Parallel reduction is a common building block for many parallel algorithms. On Parallel Forall, learn about features of the Kepler GPU architecture which make reductions even faster: the shuffle (SHFL) instruction and fast device memory atomic operations.

CUDA NEWS
NVIDIA CUDACUDA 6 RC Available
CUDA 6 Release Candidate (RC) is now available to Registered Developers. New features include Unified Memory; Drop-in Libraries; and Multi-GPU Scaling in cuBLAS and cuFFT Libraries. Sign up for the CUDA 6 Overview webinar (Wed., Feb. 26).

PGI 2014 Released
PGI 2014, a suite of high-performance parallelizing compilers and development tools, features industry-leading OpenMP performance, new OpenACC 2.0 features, CUDA Fortran debugging, updated MPI support and more. Download a free trial.

GPU TECHNOLOGY CONFERENCE
GPU Tech ConferenceRegister for GTC 2014
The GPU Tech Conference (March 24-27) will feature 500 sessions, tutorials, labs and opportunities for interaction with experts and peers (20% discount code: GM20CD).

UPCOMING GPU WEBINARS

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Feb. 25: GPUs for Visualization and Analysis of MD Simulations with VMD, J. Stone, Univ. of Illinois
Feb. 26: CUDA 6 New Features Overview, M. Ebersole, NVIDIA
Feb. 27: Installed Antenna Performance Sims Using GPUs, M. Miller, T. Courtney, Delcross
Feb. 27: Massively Parallel Acceleration with GPUs (ACM Webinar), M. Ebersole, NVIDIA

UPCOMING GPU MEETUPS

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Feb. 19: Singapore
Feb. 24: Silicon Valley
Feb. 27: Brisbane
Note: New GPU Meetups have launched in Russia and Norway.

NEW ON THE BLOG

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Subscribe to the Parallel Forall RSS feed Parallel Forall:
Faster Parallel Reductions on Kepler, J. Luitjens
CUDACasts 16: Thrust Algorithms and Custom Operators, M. Ebersole
CUDA Pro Tip: Do the Kepler Shuffle, M. Harris
CUDACasts 15: Introduction to Thrust, M. Ebersole
Subscribe to NVIDIA RSS feed NVIDIA:
How Graphics Technology - and a Little Math - Helped One Man Find True Love, B. Caulfield
Brain Function Expert Adam Gazzaley to Speak at GPU Tech Conference, G. Millington

CUDA TRAINING AND EDUCATION

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Need CUDA training or advice? See list of worldwide CUDA trainers and consultants.
Want to learn about parallel programming? Sign up for Udacity CS344.

CUDA CALENDAR

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2014


GPU Programming and Applications Workshop (IIT Bombay)
  Feb. 24-26, 2014, Mumbai, India

4-Day CUDA Course (Acceleware)
  Feb. 25-28, 2014, Baltimore, Maryland

ASPLOS 2104
  March 1-5, 2014, Salt Lake City, Utah

GPU Technology Conference (GTC 2014)
  March 24-27, 2014, San Jose, Calif.
500 sessions | Hands-on developer labs & tutorials
Meet with luminaries, technologists and peers from 50+ countries

4-Day CUDA Course (Acceleware)
  May 6-9, 2014, Calgary, AB, Canada

IEEE Int’l Parallel & Distributed Processing Symposium
  May 19-23, 2014, Phoenix, Arizona

Programming Heterogeneous Systems in Physics (Workshop)
  July 14-15, 2014, Jena, Germany

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

CUDA RESOURCES

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Online Learning
Udacity | Coursera

Online CUDA Course in Russian
Try out this new course designed for Russian speakers.

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. Your submission will be considered for display on the NVIDIA website.

GPU-Accelerated Apps
See updated list of 240+ 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 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: cuda_week_in_review@nvidia.com.

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

Downloads
CUDA 5
Nsight

CUDA on the Web
CUDA Spotlights
CUDA Newsletters
CUDA Zone
GPU Test Drive
GPUComputing.net
GPGPU.org

NVIDIA Newsletters
Sign up for NVIDIA Newsletters, including Media & Entertainment, GeForce, NVIDIA GRID VDI and Shield.

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 a complete toolkit for programming on the CUDA architecture, supporting standard computing languages such as C, C++ and Fortran. Send comments to cuda_week_in_review@nvidia.com
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