CUDA: Week In Review

Welcome to CUDA: Week In Review, news and resources for the worldwide parallel programming community.

Happy New Year! To usher in 2014, the NVIDIA team suggests these Top 10 New Year’s Resolutions: Register for GPU Tech Conference, Mar. 24-27, San Jose, Calif. Join CUDA Reg Dev Program for early access, exclusive downloads Download CUDA Toolkit 5.5 Learn what’s coming in CUDA 6 (video) Test drive new Kepler GPU accelerator Visit Parallel Forall blog Watch OpenACC CUDACast (video) Sign up for hands-on labs Add CUDA to your LinkedIn skills Attend or start a GPU Meetup And, please take a minute to fill out our reader survey so we can improve the newsletter in 2014. Thanks!

CUDA Pro Tip: A new profiling feature in CUDA 5.5 allows you to profile the clocks, power and thermal characteristics of the GPU as it executes your code. Learn more at Parallel Forall.

CUDA SPOTLIGHT
GPU-Accelerated Augmented Reality This week’s Spotlight is on Nestor Gomez, CEO of Artefacto Estudio, developer of interactive apps and games in Mexico City. Read the Spotlight.
CUDA NEWS
GTC 2014 Registration is Open The GPU Tech Conference (March 24-27) is the world’s leading event for GPU developers. It will feature 500 sessions, hands-on labs and opportunities for 1:1 interaction with industry influencers and technologists. #45; Registration is open (CUDA newsletter readers: 20% discount with GM20CD code). #45; It’s not too late to submit your work. Call for posters is open through Jan 31. NVIDIA Tegra K1 Announced At the Computer Electronics Show last week in Las Vegas, NVIDIA announced Tegra K1, the first mobile processor to support CUDA. In addition to its graphics and compute capabilities, Tegra K1 delivers breakthrough efficiency.
CUDA TRAINING AND EDUCATION
Need CUDA training or advice? See list of worldwide CUDA trainers and consultants. Want to learn about parallel programming? Sign up for Udacity CS344.
UPCOMING GPU WEBINARS	back to the top
Jan. 16: OpenMM: Accelerating, Customizing MD Simulations on GPUs, V. Pande, Stanford Jan. 21: Using HOOMD-blue for Polymer Simulations and Big Systems, J. Glaser, Univ. of Michigan Jan. 23: Tesla K40, World’s Fastest GPU Accelerator, G. Gupta, NVIDIA Jan. 29: GPU Database for Big Data Analytics, Interactive Visualization, T. Mostak, T. Graham, map-D Jan. 30: Debugging CUDA Fortran using Allinea
UPCOMING GPU MEETUPS	back to the top
Jan. 16: Sydney Jan. 23: Seattle Jab. 23: Brisbane Jan. 27, Silicon Valley Jan. 27: Chicago Jan. 28: Paris Jan. 29: New York City Feb. 1: Minneapolis Note: New GPU Meetups have launched in Russia and Norway.