Welcome to CUDA: Week In Review News and resources for the worldwide GPU and parallel programming community. |
|
CUDA PRO TIP The new Maxwell GPU architecture is the most power efficient GPU yet. Maxwell improves instruction scheduling and latency, and adds more dedicated shared memory and shared memory atomic instructions. Learn all about it on the Parallel Forall Blog. |
GPU TECH CONFERENCE |
Keynotes Revealed
Beyond the deep-dive technical sessions, interactive tutorials and hands-on labs, we’ve assembled an all-star roster of keynotes to offer insight and ignite your imagination. Here’s the lineup:
|
Jen-Hsun Huang, NVIDIA CEO and Co-Founder (opening keynote on March 25) |
|
Dirk Van Gelder and Danny Nahmias of Pixar (March 26) |
|
Adam Gazzaley, visionary neuroscientist, UC San Francisco (March 27) |
Looking forward to seeing you soon in San Jose, Calif. (20% discount code: GM20CD)
|
|
|
CUDA SPOTLIGHT |
CUDA-Accelerated Speech Recognition
Our Spotlight is on Ian Lane of Carnegie Mellon University. Dr. Lane leads the speech and language processing group at CMU Silicon Valley. His team is developing methods to accelerate speech and language technologies using GPUs. Read the Spotlight. |
|
|
CUDA NEWS |
|
|
|
GPU MEETUPS |
|
March 25: Silicon Valley (Co-located with GTC14. All GPU Meetup members are welcome)
Special guest speaker: Dr. JoAnn Kuchera-Morin, University of California, Santa Barbara |
|
NEW ON THE BLOG |
back to the top
|
Parallel Forall
7 Powerful New Features in OpenACC 2.0, J. Larkin
5 Things You Should Know About the New Maxwell GPU Architecture, M. Harris
CUDACasts 17: Unstructured Data Lifetimes in OpenACC 2.0, M. Ebersole
|
NVIDIA
Hollywood Comes to Silicon Valley for GPU Tech Conference, G. Estes
CUDA by the Numbers: 270+ Apps and Counting, G. Millington
Sochi Winter Olympics Broadcast, M. Steele
|
|
SEEN ON TWITTER |
back to the top
|
Excited about #Nvidias #Maxwell architecture! More L2 cache and faster atomics will be good for MapD. http://goo.gl/mbd0xU - @ToddMostak
If you’re a superoptimizer, the #CUDA 6 RC disassembler can now pretty print a register/predicate "lifetime" diagram: pic.twitter.com/oqxSz3fSSa - @pixelio
For daily updates, follow @gpucomputing. |
|
|
CUDA CALENDAR |
back to the top
|
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 |
PRACE Scientific and Industrial Conference
|
May 20-22, 2014, Barcelona Spain |
4-Day CUDA Course (Acceleware)
|
June 24-27, 2014, San Jose, Calif. |
Programming Heterogeneous Systems in Physics (Workshop)
|
July 14-15, 2014, Jena, Germany |
HPCS 2014
|
July 21-25, 2014, Bologna, Italy |
(To list an event, email: cuda_week_in_review@nvidia.com) |
|
|
CUDA RESOURCES |
back to the top
|
Online Learning |
Udacity | Coursera | APC Russia |
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 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 on Stack 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
|
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.
|
|
Copyright © 2014 NVIDIA Corporation. All rights reserved. 2701 San Tomas Expressway, Santa Clara, CA 95050. |
|
|
|