CUDA NEWS

CUDA NEWS
SC12 Wrap-Up NVIDIA Tesla K20 and K20X GPU acelerators are now available. Where to buy. Over 200 popular scientific and research applications are now GPU-accelerated. Oak Ridge’s Tesla-powered Titan is ranked #1 on the Top500. 40+ GPU Technology Theater talks are posted online. HPCwire announced its Readers’ and Editors’ Choice Awards. New CUDA Book A big congratulations to Shane Cook on his new book: "CUDA Programming: A Developer’s Guide to Parallel Computing with GPUs." Available in paperback and as a Kindle app. Allinea DDT Support Allinea Software announced availability of debugging support in Allinea DDT for NVIDIA Tesla K20 and the CUDA 5 toolkit. See NVIDIA’s Duncan Poole speak about it here. GTC 2013 Update GTC is on March 18-21, 2013 in San Jose, Calif. Sign up for announcements. GTC Call for Posters is open. This is a great opportunity to share innovative research in GPU computing, computer graphics, cloud graphics and game development. GTC Registration opens in early December. Developer tutorials are available now for review, as well as a sample of the hundreds of session in store.
GPU THESIS WATCH
Title: Power Aware Computing on GPUs Author: Kiran Kumar Kasichayanula, Univ. of Tennessee Advisor: Dr. Gregory D. Peterson
CUDA JOB OF THE WEEK	back to the top
Join the GPU computing revolution. NVIDIA is seeking highly-motivated people for the following positions: System Software Development Manager to lead team of world-class developers delivering CUDA driver and runtime software. CUDA Library Software Engineers to develop performance application libraries and benchmarks for next generation GPUs.
FROM THE BLOGOSPHERE	back to the top
New on the Parallel Forall Blog: Query Device Properties and Handle Errors in CUDA Fortran, by Greg Ruetsch Thinking Parallel: Collision Detection on the GPU, by Tero Karras Easy Introduction to CUDA C and C++, by Mark Harris
New on the NVIDIA blog: World’s Fastest Computer is a Time Machine, by Brian Caulfield New CUDA Research and Teaching Centers, by Chandra Cheij GPUs Speed Diagnoses of Heart Problems, by Brian Caulfield
GPU MEETUPS	back to the top
Find a GPU Meetup in your location, or start one up. Upcoming meetings include: Brisbane, Nov. 22 New York, Nov. 29 Silicon Valley, Dec. 3 Perth, Dec. 5 Boston, Dec. 14 Paris, Dec. 18
CUDA CALENDAR	back to the top
CUDA and Parallel Programming Course Nov. 21-25, 2012, Riga Technical University, Russia Sponsored by Applied Parallel Computing Parallel Computing with GPUs and CUDA for Finance Nov. 29, 2012, 5:30 pm, Baruch College, New York, New York Note: An Introduction for Financial Services Developers Parallel Computing with GPUs and CUDA for Finance Dec. 3, 2012, 5:30 pm, Microsoft, London, UK Note: An Introduction for Financial Services Developers GPUs in the Cloud Dec. 3-6, 2012, Taipei, Taiwan 4-Day CUDA Course, with Finance Focus (Acceleware) December 4-7, 2012, New York, New York Instructor: Dr. Kelly Goss, Acceleware Many-Core Developer Conference (UKMAC 2012) Dec. 5, 2012, University of Bristol, UK CUDA and OpenACC (HPC@LR) Dec. 6, 2012, Montpellier, France Note: HPC@LR is the HPC competency center for Languedoc-Roussillon Getting Started with ArrayFire: 30-Minute Jump Start (Webinar) Dec. 13, 2012 Sponsored by AccelerEyes 2013 GPU Tech Conference (GTC 2013) March 18-21, 2013, San Jose, Calif. List of tutorials (To list an event, email: cuda_week_in_review@nvidia.com)
CUDA RESOURCES	back to the top
NVIDIA Developer Forums The new NVIDIA developer forums are now live. Join the new online community to learn from other developers and share your experience. Sign up. CUDA Consulting Training, programming, and project development services are available from CUDA consultantsaround 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 CUDA 5 survey Nsight CARMA (pre-register) CUDA on the Web GPU Test Drive Learn about upcoming Udacity course Learn more about CUDA Network with other developers Stay tuned to GPGPU news and events CUDA newsletter archives CUDA Spotlights
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