CUDA Week in Review Newsletter Homepage
Mon., Oct. 22, 2012, Issue #82 See Previous Issues
Welcome to CUDA: WEEK IN REVIEW, a news summary for the worldwide CUDA, GPGPU and parallel programming community.
CUDA TECH TIP: CUDA documentation is now available in a brand-new centralized resource center! See: http://docs.nvidia.com/
YOUR CUDA STORY: Let us know how you use CUDA in 140 characters or less. Your submission will be considered for display on NVIDIA’s website. Reply to the one-minute survey

CUDA SPOTLIGHT

GPUs for Signal Processing in MATLAB
This week’s Spotlight is on Brian Fanous, a senior engineer in the signal processing and communications group at MathWorks. MathWorks develops technical computing software, including the MATLAB and Simulink products. Brian uses CUDA and other tools to accelerate computations on GPUs. Read the interview here.
Brian Fanous

CUDA NEWS

CUDA 5 Available to All
The CUDA 5 production release is now available, with powerful new programming features including Nsight, Eclipse Edition; RDMA for GPUDirect; GPU Library Object Linking; and Dynamic Parallelism.
   • Download CUDA 5
   • Register for a CUDA 5 Webinar
   • Try CUDA 5 and share your feedback

SC12 Quickly Approaching
Join NVIDIA at SC12 - live or virtually on the web. Here's a sampling of what’s in store:
   • "Get Started with CUDA" developer session
   • "Accelerating Apps with Kepler" developer session
   • GPU Technology Theater, featuring talks by Bill Dally (NVIDIA), Jack Dongarra (Univ.
      of Tennessee), Wen-mei Hwu (University of Illinois), and many more. New session
      every 30 minutes, Nov.12-15.
   • For info, visit www.nvidia.com/sc12

Molecular Dynamics Benchmark Reports Now Online
Learn how your research can be more productive with GPUs.
   • Read reports on AMBER, GROMACS, LAMMPS, NAMD
   • Sign up for free GPU Test Drive on a remote cluster

New Release from AccelerEyes Supports CUDA 5
AccelerEyes announced Jacket v2.3, with new support for CUDA 5.0 as well as performance improvements across the board. Download Jacket v2.3 at http://www.accelereyes.com/download_jacket

GPU THESIS WATCH

Title: Java on CUDA Architecture
Author: Jan Strnad, Czech Technical University in Prague
Advisor: Zdenek Konfrst, PhD
URL: https://dip.felk.cvut.cz/browse/pdfcache/strnaj11_2012bach.pdf

CUDA JOBS OF THE WEEK

NVIDIA is looking for a System Software Development Manager to lead a team of world-class developers working with the CUDA driver and runtime software. If you're an experienced software manager with excellent technical and leadership skills, apply to be a part of the GPU computing revolution on the inside.
See: http://bit.ly/ON88Az

Morpheus Medical specializes in computational processing applied to health care. The company has been incubated at Stanford University and is based at the heart of Silicon Valley. Its vision is to develop a suite of software products that can enhance critical diagnostics and treatment in the human body. The company's first application is in the cardiac space, specifically heart failure. Morpheus is seeking a talented software engineer with C++ and Java experience. GPGPU⁄CUDA experience is desired.
See: http://www.morpheusmedical.net/careers/

NEW ON THE NVIDIA BLOG

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Stay up to date by reading the NVIDIA blog:
Kick -Start Your Career with Udacity Parallel Programming Course, by Calisa Cole
Using GPUs to Build a More Ethical Smartphone, by Brian Caulfield
After Japan’s Tsunami, Entrepreneur Turns Grease Into Green, by Kenji Hall

GPU MEETUPS

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Find a GPU Meetup in your location, or start one up. Upcoming meetings include:
Brisbane, Oct. 25
Boston, Oct. 25
New York, Oct. 30
Silicon Valley, Nov. 5
Paris, Nov. 13

CUDA CALENDAR

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October-December


- CUDA 5 - Everything You Need to Know (Webinar)
Oct. 24, 2012, 10:00 am PT
Speaker: Will Ramey, NVIDIA
https://www2.gotomeeting.com/register/397616026

- Dell HPC Solutions Workshop
Oct. 25, 2012, Baltimore, Maryland
Note: Includes talks by researchers, complimentary lunch
http://bit.ly/PG8apz

- GPU-Accelerated Apps and Academic Research (Webinar)
Oct. 31, 2012, 10:00 am PT
Speaker: Devang Sachdev, NVIDIA
https://www2.gotomeeting.com/register/206620714

- CUDA Training Course (Acceleware)
Nov. 6-9, 2012, Houston, Texas
http://acceleware.com/training-course/16

- GPU Programming Course (CASPUR)
Nov. 6-9, 2012, La Sapienza University, Rome, Italy
Note: CASPUR is a CUDA Research Center
http://corsi.caspur.it/corso/gpu-programming

- Military MATLAB apps GPU-accelerated with Jacket (Webinar)
Nov. 7, 2012
http://bit.ly/VkDUZp

- SC12
Nov. 10-16, 2012, Salt Lake City, Utah
NVIDIA booth #2217
www.nvidia.com/sc12

- GPUs in the Cloud
Dec. 3-6, 2012, Taipei, Taiwan
http://gpu-cloud.cs.astate.edu/

- Many-Core Developer Conference (UKMAC 2012)
Dec. 5, 2012, University of Bristol, UK
http://www.cs.bris.ac.uk/Research/Micro/UKMAC2012/

- Getting Started with ArrayFire: 30-Minute Jump Start (Webinar)
Dec. 13, 2012
http://bit.ly/VkDUZp

2013


- GPU Tech Conference (GTC 13)
March 18-21, 2013, San Jose, Calif.
http://www.gputechconf.com/

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

CUDA RESOURCES

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 (with CUDA Consulting in subject line).

GPU Computing on Twitter

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

Downloads

– CUDA 5: www.nvidia.com/getcuda
– CUDA 5 survey: www.surveymonkey.com/s/CUDA5Feedback
– Nsight: http://www.nvidia.com/object/nsight.html
– CARMA (pre-register): http://bit.ly/carma_news

CUDA on the Web

– GPU Test Drive: www.nvidia.com/gputestdrive
– Learn more about CUDA: www.nvidia.com/cudazone
– Follow CUDA & GPU Computing on Twitter: www.twitter.com/gpucomputing
– Network with other developers: www.gpucomputing.net
– Stay tuned to GPGPU news and events: www.gpgpu.org
– Newsletter archive: www.nvidia.com/object/cuda-newsletter.html
– CUDA Spotlights: www.nvidia.com/object/cuda-in-action.html

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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