CUDA: WEEK IN REVIEW, a news summary for the worldwide CUDA, GPGPU and parallel programming community.

Welcome to CUDA: WEEK IN REVIEW, a news summary for the worldwide CUDA, GPGPU and parallel programming community.

Top 10 Recommendations! To usher in 2013, the NVIDIA team compiled a list of recommended activities for GPU computing fans: 1. Sign up today for GTC 2013 in San Jose, Calif. 2. Enroll in free Udacity Parallel Programming course 3. Download CUDA 5 4. Register as a CUDA Developer 5. Tell us how you are using CUDA 6. Test drive the new Kepler GPU accelerator 7. Join or start a GPU Meetup in your city 8. Nominate a colleague as a CUDA Spotlight 9. Watch presentation on CUDA by Stephen Jones 10. Learn about OpenACC And, please take a minute to fill out our reader survey so we can improve the newsletter in 2013. Thanks!

CUDA SPOTLIGHT
GPU-Accelerated Life Sciences This week’s Spotlight is on Bob Zigon of Beckman Coulter. Bob’s focus is on GPU acceleration of Beckman Coulter’s life sciences products. Bob was a GTC presenter in 2010 and 2012. The topic of his upcoming GTC 2013 talk is Computing Protein Size Distributions Using Centrifugation Techniques and the Tesla K20 GPU. Read our interview with Bob Zigon.
CUDA EDUCATION
Parallel Programming Course to Launch in February Udacity’s Intro to Parallel Programming course begins in just a few weeks. This brand-new online class consists of seven units (lectures/homework/quizzes) which you can take at your own pace. You’ll learn about parallel programming by coding a series of image processing algorithms, such as you might find in Photoshop or Instagram. People who successfully complete the course will earn a Udacity certificate, a badge of accomplishment that can be posted on LinkedIn, job websites and resumes. Intro to Parallel Programming is open to students and professionals around the world at no charge. In addition, we are pleased to announce that Amazon Web Services will provide on-demand access to GPU compute instances on Amazon EC2 to qualifying students. While EC2 is not required to complete the course, it’s a helpful option for students who want to experiment with parallel and distributed computing on CUDA GPUs. The course is taught by Dr. David Luebke of NVIDIA and Dr. John Owens of UC Davis. Guest lecturers include Ian Buck, Bill Dally and Stephen Jones of NVIDIA.    • Watch the video about Intro to Parallel Programming    • Sign up for Intro to Parallel Programming    • Learn more about Udacity Learn more about Amazon EC2
CUDA NEWS
Try Tesla K20 Speed up your application with NVIDIA Tesla K20 GPU Accelerators. Built on the Kepler compute architecture, Tesla K20 offers innovative technologies like Dynamic Parallelism and Hyper-Q to boost performance and power efficiency. Special offer: Purchase a Tesla K20 GPU Accelerator by Jan. 27 and receive a free GTC 2013 pass (US only). GPU test drive: Take a free and easy test drive to see how Tesla K20 can accelerate your code.
CUDA JOB OF THE WEEK	back to the top
GIS Federal seeks a Geospatial/GPU Software Engineer to develop high performance computation engine for geospatial intelligence. You will with with latest technologies including GPU supercomputing, Google Earth and 3D gaming engines. Requires TS/SCI security clearance. Learn more here.
FROM THE BLOGOSPHERE	back to the top
New on the Parallel Forall Blog: Join Me at GTC 2013, by Mark Harris Using Shared Memory in CUDA Fortran, by Greg Ruetsch CUDA Pro Tip: Flush Denormals with Confidence, by Mark Harris How to Access Global Memory Efficiently in CUDA C/C++ Kernels, by Mark Harris How to Access Global Memory Efficiently in CUDA Fortran Kernels, by Greg Ruetsch (Subscribe to the Parallel Forall RSS feed)
GPU MEETUPS	back to the top
Find a GPU Meetup in your location, or start one up. Upcoming meetings include: Brisbane, Jan. 24 New York, Jan. 24 Silicon Valley, Jan. 28 Minnesota, Jan. 29 Paris, Feb. 18
CUDA CALENDAR	back to the top
4-Day CUDA Course (Acceleware)   Jan. 29-Feb. 1, 2013, Chicago, Illinois Instructor: Dr. Kelly Goss Titan Users and Developers Workshop (West Coast)   Jan. 29-31, 2013, Santa Clara, Calif. Hands-on training on Titan, the world’s fastest supercomputer Signal Processing & Communications Algorithms Using GPU Computing (Webinar)   Jan. 31, 2013 Instructor: Kirthi Devleker, MathWorks HPC Advisory Council Stanford Conference   Feb. 7-8, 2013, Stanford, Calif. Open to the public Note: NVIDIA's Sarah Tariq to present on scaling applications on large GPU clusters Intro to CUDA + OpenACC Course   Feb. 12-14, 2013, Ukraine, Lviv Sponsored by Applied Parallel Computing LLC Contact: akomissarov[at]nvidia[dot]com Winter GPU Computing School (Moscow State University)   Feb. 20-22, 2013, Moscow, Russia Intro to CUDA + OpenACC Course   March 4-5, 2013, Hamburg, Germany Sponsored by Applied Parallel Computing LLC Contact: akomissarov[at]nvidia[dot]com 4-Day CUDA Course - Oil & Gas (Acceleware)   March 12-15, 2013, Houston, Texas Instructor: Dr. Kelly Goss HPC Advisory Council   March 13-15, 2013, Lugano, Switzerland GPU Tech Conference (GTC 2013)   March 18-21, 2013, San Jose, Calif. Special code for CUDA newsletter readers: GM10CD 4-Day CUDA Course (Acceleware)   May 7-10, 2013, San Francisco, Calif. Instructor: Dr. Kelly Goss (To list an event, email: cuda_week_in_review@nvidia.com)
CUDA RESOURCES	back to the top
GPU-Accelerated Apps List of 200+ popular GPU-accelerated scientific and research applications. CUDA Documentation The new CUDA documentation site includes release notes, programming guides, manuals and code samples. CUDA Education Udacity Course Coursera Course 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 (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 CUDA on the Web CUDA Spotlights CUDA Newsletters CUDA Zone GPU Test Drive GPUComputing.net GPGPU.org