Welcome to CUDA: WEEK IN REVIEW, a news summary for the worldwide CUDA, GPGPU and parallel programming community. |
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CUDA Pro Tip: CUDA-aware MPI not only makes it easier to work with a CUDA+MPI application, it also makes the application run more efficiently. Learn more in this Parallel Forall blog post. |
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CUDA SPOTLIGHT |
GPU-Accelerated Imaging and Simulations
This week’s Spotlight is on Anne C. Elster, Associate Professor, Norwegian University of Science and Technology (NTNU), and Visiting Scientist, University of Texas at Austin. More than 25 of Anne’s graduate students have completed theses on GPU and heterogeneous computing. Read our interview with Anne Elster. |
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CUDA NEWS |
MATLAB Adds GPU Computing Features The MathWorks R2013a release has expanded the GPU computing capabilities in MATLAB. Image Processing Toolbox has enabled 11 functions for use with the GPU, including functions for morphological filtering and 2D filtering. Parallel Computing Toolbox continues to make performance improvements and expand its GPU-enabled MATLAB functions, and also added the ability to launch CUDA code and manipulate data contained in GPU arrays from MEX functions. Info on GPU computing with MATLAB | Info on R2013a release
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CUDA JOB OF THE WEEK |
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Siemens Corporate Technology in Bangalore seeks a candidate to lead R&D activities in Parallel Systems Research Group. Requirements include familiarity with emerging HPC trends and experience in parallel computing. Learn more here. |
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CUDA EDUCATION |
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Intro to Parallel Programming: Explore parallel programming for the first time or push your knowledge even further with Intro to Parallel Programming on the Udacity platform. |
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NEW ON THE BLOGS |
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Parallel Forall blog
Finite Difference Methods in CUDA Fortran, Part 2, by Greg Ruetsch
Benchmarking CUDA-Aware MPI, by Jiri Kraus
Introduction to CUDA-Aware MPI, by Jiri Kraus
NVIDIA blog
GPU Computing Geniuses, by Chandra Cheij
GPUs Helping Californians Prepare for the Big One, by Roy Kim |
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GPU MEETUPS |
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Have you been to a Meetup yet? Check one out or start your own. Upcoming events:
Paris, April 16
New York, April 17
Melbourne, Florida, April 18
Silicon Valley, April 22
New Mexico, April 24
Brisbane, April 25
Toronto, April 25
Sydney, May 2 |
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CUDA CALENDAR |
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April
2-Day CUDA Training (AccelerEyes)
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April 15-16, 2013, San Francisco, Calif. |
CUDA/OpenACC Hands-on Course (Munich Tech. University)
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April 16-18, 2013, Munich, Germany
By Applied Parallel Computing
Contact: landreeva[at]nvidia[dot]com |
2-Day CUDA Training (AccelerEyes)
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April 22-23, 2013, Seattle, Wash. |
GPUs Accelerating Research Workshops
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April 24-25, 2013, Boston, Mass.
Day one hosted by Northeastern University
Day two hosted by Boston University |
Optimization Techniques for Kepler and Fermi Architecture (Webinar)
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April 25, 2013, 9:00 a.m. pacific time |
GPGPU Continuum Workshop (TCE, Sagivtech)
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April 25, 2013, Haifa, Israel
Committee: Prof. Avi Mendelson, Ofer Rosenberg, Dr. Chen Sagiv |
Programming on the GPU with CUDA Course (TU Delft)
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April 26, 2013, Delft, Netherlands
Instructors: Prof.dr.ir. C. Vuik and Ir. C.W.J. Lemmens |
May
2-Day CUDA Training (AccelerEyes)
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May 6-7, 2013, Austin, Texas |
4-Day CUDA Course (Acceleware)
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May 7-10, 2013, San Francisco, Calif.
Instructor: Dr. Kelly Goss |
Intro to GPGPU and CUDA Programming (CINECA)
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May 9-10, 2013, Bologna, Italy (In English) |
Molecular Shape Searching on GPUs: Brave New World (Webinar)
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May 22, 2013, 9:00 am pacific time
Presenter: Paul Hawkins, OpenEye |
2-Day CUDA Training (AccelerEyes)
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May 27-28, 2013, Atlanta, Georgia |
June - July
Intro to CUDA Programming (PRACE, BSC)
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June 3-7, 2013, Barcelona, Spain |
Rencontre des Chimistes Theoriciens du Grand-Est
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June 7-8, 2013, Reims, France |
2-Day CUDA Training (AccelerEyes)
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June 10-11, 2013, Baltimore-Washington, DC |
International Supercomputing Conference (ISC)
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June 16-20, 2013, Leipzig, Germany
Hands-On with CUDA tutorial by NVIDIA, June 16, 9:00 am
Hands-On with OpenACC tutorial by NVIDIA, June 16, 2:00 pm |
4-Day CUDA Course (Acceleware)
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June 25-28, 2013, Calgary, AB, Canada
Instructor: Dr. Kelly Goss |
PUMPS Summer School
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July 8-12, 2013, Barcelona, Spain
Co-Directors: Mateo Valero (BSC, UPC) and Wen-mei Hwu (University of Illinois) |
(To list an event, email: cuda_week_in_review@nvidia.com) |
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CUDA RESOURCES |
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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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