Welcome to CUDA: WEEK IN REVIEW, an online news summary for the worldwide CUDA, GPGPU and parallel programming ecosystem. |
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CUDA TECH TIPS |
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Did you know that adding GPU acceleration to your app can be as easy as calling a library function? Here are two examples:
- NVIDIA cuBLAS is a GPU-accelerated version of the standard BLAS (Basic Linear Algebra Subprograms) library. cuBLAS on an NVIDIA Tesla M2090 GPU delivers over 6x faster performance than Intel MKL (Math Kernel Library) BLAS on an Intel Xeon x5680 Six-Core CPU @ 3.33 GHz.
- NVIDIA cuFFT provides a simple interface for computing FFTs (Fast Fourier Transforms) without having to develop your own custom GPU FFT implementation. cuFFT on an NVIDIA Tesla M2090 is up to 10x faster than Intel MKL on Intel Xeon x5680 Six-Core CPU @ 3.33 GHz.
- Learn more about GPU-accelerated libraries
- Download CUDA 4.1
(To suggest a CUDA Tech Tip, email: cuda_week_in_review@nvidia.com)
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CUDA SPOTLIGHT |
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CUDA Spotlight: GPU-Accelerated Swarm Behavior |
This week’s spotlight is on Iain Couzin, an Assistant Professor of Ecology and Evolutionary Biology at Princeton University.
Dr. Couzin’s expertise is in the study of collective animal behavior. His lab uses a range of experimental systems - from ants and locust swarms to schooling fish and even human crowds - to explore the fundamental principles that underlie collective behavior.
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- Read our interview with Iain Couzin
(To suggest a CUDA Spotlight, email: cuda_week_in_review@nvidia.com) |
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CUDA UPDATES |
GTC 2012 Registration is Open
The GPU Technology Conference is quickly approaching (May 14-17)! We’ve created a special thank you code for CUDA newsletter readers. When registering, enter GM15CD as the promo code for 15% off a Full or One Day pass. (Government and academic registrants are eligible for a 40% discount with this promo code: GA40CF.) Sign up before March 20 for the early bird discount.
- Register for GTC 2012 today
New CUDA Centers Announced
This week, 23 universities and research institutions became new CUDA Research and Teaching Centers. The CUDA Teaching Centers empower thousands of students each year to leverage GPU computing. The CUDA Research Centers utilize GPU computing across multiple fields. New Centers include: Gdansk University of Technology (Poland); Indian Institute of Technology Bombay (India); and Joanneum Research - Digital (Austria).
- Read the blog post by Chandra Cheij
Keeneland Workshop at Georgia Tech
The Keeneland Project and Georgia Tech held a workshop on GPUs and computational science, covering topics such as "Scalable Heterogeneous Processing." Presentations will be posted online. The Keeneland Project is a five-year cooperative agreement awarded by the National Science Foundation (NSF) to bring emerging architectures to the open science community.
- Learn more about the Keeneland workshop
CUDA Education
- In finance? Check out the upcoming webinar on GPU-Accelerated Quant Finance: The Way Forward.
- In oil exploration? Learn about Acceleware and Microsoft's CUDA and O&G course in Houston.
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CUDA JOBS |
AccelerEyes develops and markets GPU software. The company has working relationships with contract CUDA programmers and continues to look for more. If you have a strong background in math, stats, image/signal processing and a good understanding of the M language, contact: jobs (at) accelereyes (dot) com.
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CUDA GPU MEETUPS |
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Welcome to the new GPU Meetup in Christchurch, New Zealand! And congrats to the GPU Meetup of New York, which has the highest number of members at 600 and growing. Last but not least, kudos to the GPU Meetup of South Florida, which recently presented at the South Florida Code Camp on the topic of "Large Scale Machine Learning using CUDA." This is a good example of how like-minded groups can network and learn from each other. |
(Interested in starting a Meetup? Email: cuda_week_in_review@nvidia.com)
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CUDA CALENDAR |
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FEBRUARY-MARCH
- GPU-Accelerated Quant Finance: The Way Forward (Webinar)
- GPGPU5
- CUDA 4-Day Training Course - Acceleware and Microsoft
- Open Molecular Mechanics (OpenMM) Workshop
- HPC Advisory Council
- CUDA 4-Day Training Course - Acceleware and Microsoft
APRIL-JUNE
- SPIE: Defense, Security and Sensing
April 23-27, 2012, Baltimore, Maryland
http://spie.org/x6765.xml |
Note: GPU for Defense Apps, April 25, Eric Kelmelis, EM Photonics |
- State-of-the-Art Algorithms for Molecular Dynamics
- INPAR 2012
- GPU Technology Conference (GTC 2012)
- Workshop on Emerging Parallel Architectures (WEPA 2012)
- ISC'12
(To list an event, email: cuda_week_in_review@nvidia.com) |
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CUDA RESOURCES |
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CUDA Registered Developer Program
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– Sign up: www.nvidia.com/paralleldeveloper |
CUDA GPUs |
– List of CUDA-enabled GPUs: http://developer.nvidia.com/cuda-gpus |
CUDA on the Web |
– Learn more about CUDA on CUDA Zone: www.nvidia.com/cudazone
– See previous issues of CUDA: Week in Review: http://is.gd/cBXbg
– 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
– Check out the NVIDIA Research page: www.nvidia.com/research |
CUDA Recommended Reading |
– CUDA books: http://developer.nvidia.com/cuda-books |
CUDA Recommended Viewing |
– GTC Express: http://www.gputechconf.com/object/gtc-express-webinar.html |
– SC11 presentations: http://www.gputechconf.com/page/gtc-on-demand.html |
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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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