Welcome to CUDA: WEEK IN REVIEW, an online news summary for the worldwide CUDA, GPGPU and parallel programming ecosystem. |
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WE ARE HIRING |
NEW: NVIDIA Research is seeking world class domain experts in application areas such as web servers, data centers, machine learning, big data and data analytics. We are recruiting candidates at a variety of levels, from new PhDs to experienced researchers. Visit: bit.ly/IsxOjb |
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CUDA TECH TIPS |
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CUDA SPOTLIGHT |
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GPU-Accelerated Scientific Discovery |
This week's spotlight is on Lorena Barba of Boston University. Professor Barba is a computational scientist and fluid dynamicist. She was recently presented with the prestigious National Science Foundation CAREER award and is a CUDA Fellow.
- Read our interview with Lorena Barba
(To suggest a CUDA Spotlight, email: cuda_week_in_review@nvidia.com) |
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CUDA UPDATES |
Run Your Work on the Titan Supercomputer!
Accelerate your science on the Titan Supercomputer by harnessing up to 20 petaflops of parallel processing power using GPUs. The INCITE Call for Proposals is now open. Intrigued? You can get started by filling out a 5-minute survey.
- Learn about the Call for Proposals
Parallel Nsight 2.2
Parallel Nsight 2.2 Release Candidate 1 is now available, supporting GeForce GPUs based on the new Kepler architecture. In addition, it enables developers to debug CUDA code natively on a single GPU system within Visual Studio. For graphics developers, Parallel Nsight now supports DirectX 9 in the Frame Debugger, Frame Profiler, Analysis and Nsight HUD.
- Learn about Parallel Nsight 2.2 RC1
New Adobe Creative Suite 6 is CUDA Accelerated
Adobe revealed its Creative Suite 6 Production Premium software this week at NAB 2012 in Las Vegas. The Adobe Mercury Playback Engine in Premiere Pro leverages CUDA-based Quadro GPUs to deliver up to 8x faster performance for key features like three-way color corrector and uninterrupted playback. You can take advantage of the new 3D ray-traced renderer in After Effects to simplify and accelerate the motion graphics workflow. Adobe's Bill Roberts comments: "With Adobe Creative Suite 6, we've innovated even more broadly around GPUs from NVIDIA to further simplify design workflows with new capabilities that enable creative pros to deliver the highest quality productions in the least amount of time."
- Read about Adobe CS6
Faster MATLAB Code with Jacket v2.1
AccelerEyes announced the release of Jacket v2.1, adding new GPU computing capabilities for MATLAB. New improvements include an Optimization Library, extended support for sparse matrix subscripting and additional functions to the Graphics Library.
- Learn more about Jacket v2.1
- Download 15-day Trial
- See examples of accelerated MATLAB code
Four-Week Countdown to GTC 2012
GTC 2012 is on May 14-17 in San Jose, Calif. It will feature hundreds of speakers from academia and industry, delivering insights into the power of parallel computing across a range of topics, from bioinformatics and energy exploration to climate monitoring and computational photography. It's a unique chance to brainstorm and collaborate with peers and colleagues from around the world.
- To exhibit, contact Jasmin Dave to reserve a table: jdave@nvidia.com
- Review list of sessions
- Register today (Newsletter readers: 10% off w/ GM10CD. Government/academia: 40% off
w/ GA40CF) |
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BLOG POSTS |
NVIDIA Names New CUDA Fellows, by Chandra Cheij
No Free Lunch, by Steve Scott
Bill Dally Returns as NVIDIA's Head of Research, by Bob Sherbin |
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CUDA JOBS |
Fermi National Accelerator Lab is looking for a GPGPU computational physics developer to work on software libraries and physics applications used in large-scale parallel simulations of Quantum Chromodynamics (QCD) and other strongly coupled beyond-the-Standard-Model gauge theories.
- Contact: dcoburn@cemcosystems.com |
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CUDA GPU MEETUPS |
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In the Chicago area? Be sure to check out the Chicago GPU Meetup. The group's recent meeting on April 11 featured talks by NVIDIA's John Ashley on CUDA Thrust and Dr. Michael Kelly on the use of Wolfram Mathematica and CUDA in the field of financial derivatives (Mathematica recently upgraded its GPU platform to allow for the determination of 60 different classes of financial derivatives via CUDA.) |
(Interested in starting a Meetup? Email: cuda_week_in_review@nvidia.com) |
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CUDA CALENDAR |
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- AccelerEyes ArrayFire Training: Defense & Intelligence (Webinar)
- Accelerating Apps with OpenACC
- SPIE: Defense, Security and Sensing
April 23-27, 2012, Baltimore, Maryland
Note: GPU for Defense Apps talk, April 25, Eric Kelmelis, EM Photonics
http://spie.org/x6765.xml |
- State-of-the-Art Algorithms for Molecular Dynamics (NAIS)
April 30-May 2, 2012, Edinburgh, UK
Note: Tutorial: April 30-May 2, Workshop: May 2-4
CUDA Fellow Ross Walker, SDSC, to speak on May 4 on GPU acceleration of AMBER
http://www.nais.org.uk/MD2012/ |
- 4-Day CUDA Course (Acceleware)
- Better Chemistry through Quantum Mechanics
- INPAR 2012
- AccelerEyes Jacket Training: Optimization (Webinar)
- GPU Technology Conference (GTC 2012)
- Intro to GPGPU and CUDA (CINECA)
- Workshop on Emerging Parallel Architectures (WEPA 2012)
- 4-Day CUDA Course - Life Science Focus (Acceleware)
- International Mathematica Symposium (University College, London)
- AccelerEyes ArrayFire Training: Machine Learning (Webinar)
- 4-Day CUDA Course (Acceleware)
- ISC '12
- OpenMP & OpenACC Training Session
- International Congress of Quantum Chemistry
- Parallel Computing Summer School (CINECA)
- Computational Chemistry (Gordon Research Conferences)
(To list an event, email: cuda_week_in_review@nvidia.com) |
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CUDA RESOURCES |
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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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