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Press Releases
CUDA: Week in Review January 10, 2012 E-mail
Wednesday, 11 January 2012 15:00
Press Release

cuda-final-feb17

Tue., Jan. 10, 2012, Issue #68      Click here for online version

WEEK IN REVIEW

Welcome to the online newsletter for the worldwide CUDA, GPGPU and parallel programming ecosystem.

EDITOR'S NOTE

Top 10 New Year's Resolutions

CUDA SPOTLIGHT

Dr. Monish Tandale, Optimal Synthesis

CUDA TOP STORIES

WIRED Magazine on Genomics and GPUs

NVIDIA CARMA Devkit Pre-Registration

University of Canterbury's GPU Computing Group

New Hybrid GPU Cluster at Bielefeld University

EDITOR'S NOTE

Happy New Year to the GPU computing community! To usher in 2012, the NVIDIA team suggests these Top 10 New Year's Resolutions:

  1.    Promote your apps and papers on CUDA Zone
  2.    Join or start a GPU Meetup in your city
  3.    Download CUDA Toolkit 4.1 RC2
  4.    Sign up for CARMA (CUDA on ARM devkit) updates
  5.    This e-mail address is being protected from spambots. You need JavaScript enabled to view it a colleague for a CUDA Spotlight interview
  6.    Attend a GPU computing webinar
  7.    Submit a poster for GTC 2012
  8.    Accelerate your Fortran app with directives
  9.    Become a CUDA Registered Developer
  10.    Fill out the 1-minute reader survey to help us improve in 2012!

CUDA SPOTLIGHT

GPU-Accelerated Air Traffic Management

Our first spotlight of 2012 is on Dr. Monish Tandale, Research Scientist at Optimal Synthesis Inc. (OSI), a high-tech R&D firm specializing in algorithm and software development. Here's a preview of the interview:  

monish-tandale

Dr. Monish Tandale

NVIDIA: Monish, tell us about OSI's work with the NASA Ames Research Center.
Monish: At any given moment, there are over 7000 aircraft flying in the skies of the U.S. This number is only going to increase, adding more complexity to air traffic flow management. The project we are working on with NASA is related to NextGen, a multi-agency initiative to improve the coordination of air traffic flow in the U.S. National Airspace System (NAS).

NVIDIA: What advantages have you achieved with GPU computing?
Monish: Using CUDA and GPU computing we were able to achieve a 250X speedup over NASA’s baseline software. The shallow learning curve associated with CUDA allowed us to smoothly transition from C/C++ based CPU programming to parallel computing on GPUs.

- Watch the video on YouTube

- Read the full interview with Monish Tandale

CUDA DEVELOPER NEWS

WIRED Magazine on Genomics and GPUs

The WIRED article "Chinese Crunch Human Genome With Videogame Chips" reports on groundbreaking work at Shenzhen-based BGI. Author Eric Smalley writes: "The world’s largest genome sequencing center once needed four days to analyze data describing a human genome. Now it needs just six hours."

- www.wired.com/wiredenterprise/2012/01/genomes-and-gpus/

NVIDIA CARMA Devkit Pre-Registration

You can now pre-register for the NVIDIA CARMA Devkit (the CUDA on ARM development kit announced at SC11). It features a Tegra 3 quad-core CPU and Quadro 1000M CUDA GPU and will be available for purchase in the second quarter of the year.

- http://bit.ly/carma_blog

University of Canterbury's GPU Computing Group

The University of Canterbury in New Zealand launched a new group for researchers, developers and students interested in GPU computing. GPU professionals and enthusiasts are welcome to attend the monthly meetings and tutorials.

- www.math.canterbury.ac.nz/php/groups/study/GPU/

New Hybrid GPU Cluster at Bielefeld University

Bielefeld University in Germany will install a new hybrid supercomputer for quantum chromodynamics. Equipped with 400 Tesla GPUs, it will have a cumulative peak performance of ~500 teraflops.

- http://insidehpc.com/2011/12/16/new-gpu-cluster-at-bielefeld-university-to-crack-quantum-chromodynamics/

GPU MEETUPS

The GPU Meetups are starting strong in January. Congrats to the brand-new Meetup in Paris, led by Jerome Piat, which will hold its first event on Jan. 25. And, a big thank you to Andrew "Shep" Sheppard for his enthusiastic nurturing of the GPU Meetup community. Here's a list of upcoming meetings:

U.S.

GPU Meetup New Mexico, Jan. 11, 7:00 pm

GPU Meetup Boston, Jan. 12, 6:30 pm

GPU Meetup Southern California, Jan. 19, 7:00 pm

GPU Meetup South Florida, Jan. 23, 6:30 pm

GPU Meetup New York, Jan. 23, 6:00 pm

GPU Meetup Silicon Valley, Jan. 30, 6:15 pm

Europe

GPU Meetup Paris, Jan. 25, 7:00 pm

GPU Meetup London, Jan. 25, 7:00 pm

Australia

GPU Meetup Brisbane, Jan. 19, 6:00 pm

CUDA Calendar

- Debugging Workshop for CUDA 4.1 using Allinea DDT (Webinar)

Jan. 10, 2012, 10 am PT

Presenter: David Lecomber, CTO, Allinea Software

https://www2.gotomeeting.com/register/481122818

- Accelerating SEISMIC_CPML Using High-level GPU Programming (Webinar)

Jan. 18, 2012, 9 am PT

Presenter: Mat Colgrove, The Portland Group

https://www2.gotomeeting.com/register/854112682

- GPU Computing with CUDA and PGI Directives - Applied Parallel Computing

Jan. 16-18, 2012, Munich, Germany

http://cuda-training.eventbrite.com/

- Intro to Bright Cluster Manager - Advanced Clusters Made Easy (Webinar)

Jan. 19, 2012, 10 am PT

https://www2.gotomeeting.com/register/742292402

- CUDA 4-Day Training Course - Acceleware and Microsoft

Jan. 24-27, 2012, Seattle, Washington

http://acceleware.com/jan24seattle

- GPUs in Computational Statistics Workshop

Jan. 25, 2012, Coventry, England

Presented by University of Warwick

http://www2.warwick.ac.uk/fac/sci/statistics/crism/workshops/gpu/

- CUDA Programming 1-Day Course - Delft University of Technology

Feb. 3, 2012, Delft, Netherlands

http://ta.twi.tudelft.nl/users/vuik/gpu.html

- CUDA GPU Programming 2-Day Workshop

Feb. 4, 2012, Berlin, Germany

Presenter: Dr. Kashif Rasul, Freie Universitat Berlin

http://cuda-eorg.eventbrite.com/

- GPU Computing with CUDA and PGI Directives - Applied Parallel Computing

Feb. 5-8, 2012, Dublin, Ireland

http://cuda-course.eventbrite.com/

- PRACE Winter School at CINECA

Hybrid Programming on Massively Parallel Architectures

Feb. 6-11, 2012, Bologna, Italy

http://www.cineca.it/page/prace-winter-school

http://www.cineca.it/en/page/training-and-courses

- Transformative Discovery in Comp. Nanoscience, Advanced Materials, Energy Research

Feb. 6-8, 2012, Oak Ridge, Tennessee

Note: Joint workshop between ORNL and University of Tennessee

http://www.nics.tennessee.edu/feb-2012-accelerator-workshop

- CUDA 4-Day Training Course - Acceleware and Microsoft

Feb. 7-10, 2012, New York, New York

http://acceleware.com/feb7newyork

- Debugging CUDA with TotalView (Webinar)

Feb. 22, 2012, 9 am PT

Presenter: Chris Gottbrath, Rogue Wave Software

https://www2.gotomeeting.com/register/653210522

- GPGPU5

March 3, 2012, London, England

http://www.ece.neu.edu/GPGPU/GPGPU5/

- CUDA 4-Day Training Course - Acceleware and Microsoft

March 6-9, 2012, Sunnyvale, Calif.

http://acceleware.com/mar6sunnyvale

- CUDA 4-Day Training Course - Acceleware and Microsoft

March 20-23, 2012, Houston, Texas

Note: Oil and Gas focused

http://acceleware.com/mar20houston

- SPIE: Defense, Security and Sensing

April 23-27, 2012, Baltimore, Maryland

Note: GPU for Defense Applications session, April 25, by Eric Kelmelis, EM Photonics

http://spie.org/x6765.xml

- INPAR 2012

May 13-14, 2012, San Jose, Calif.

http://www.innovativeparallel.org/

- GPU Technology Conference (GTC 2012)

May 14-17, 2012, San Jose, Calif.

http://www.gputechconf.com/

- Workshop on Emerging Parallel Architectures (WEPA 2012)

June 2-4, 2012, Omaha, Nebraska

http://www.staff.uni-mainz.de/schmi033/

(To list an event, email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it )

CUDA RESOURCES

Downloads

– CUDA Toolkit: www.nvidia.com/getcuda

– Parallel Nsight: http://developer.nvidia.com/nvidia-parallel-nsight

Webinars

– CUDA: www.nvidia.com/webinars

– Parallel Nsight: http://developer.nvidia.com/developer-webinars

CUDA Registered Developer Program

– 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

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 as well as APIs such as OpenCL and DirectCompute. Send comments and suggestions to: This e-mail address is being protected from spambots. You need JavaScript enabled to view it

 
Hi Tech Legion News & Press Press Releases CUDA: Week in Review January 10, 2012