Wrzesień « 2011 « E-ON IIT – TESLA PREFERED PROVIDER

GPU-Accelerated Multi-Phase Flow Simulations
This week’s spotlight is on Dr. Mehdi Raessi, Assistant Professor in the Department of Mechanical Engineering at University of Massachusetts-Dartmouth.

NVIDIA: Mehdi, tell us about your research.

Mehdi: The focus of my research is primarily on multi-phase flows and free-surface flows with phase change. We develop computational algorithms and flow solvers, and use them to study industrial and research

applications that involve multi-phase flows.

Examples include materials processing (thermal spray coating and casting), energy systems (both renewable and conventional), and environmentally friendly or “green” refrigeration systems.

NVIDIA: What role does GPU computing play in your work?

Mehdi: Our numerical algorithm for solving the fluid flow equations involves a step in which we solve a large system of linear equations to compute the pressure field. That single step can take from 50 to 99.9 percent of the total simulation time! As we increase the number of grid points in our simulations, the pressure solution step takes a larger percentage of the total simulation time.

To speed up this task, my graduate student, Stephen Codyer, ported the pressure calculations to the GPU. His tests show that the GPU-accelerated solver can run a 3D simulation with over 28 million grid points 15 times faster (compared to performing the same calculation on the CPU). My colleague, Prof. Gaurav Khanna, from our Physics Department, helped us a lot in this project and shared his extensive experience in GPU computing.

NVIDIA: What future applications can you envision in your research area?

Mehdi: As we all know, energy and the environment have become the most pressing issues in the world. Addressing these issues requires new technology and drastic changes in the ways that we use our energy resources. After events like the oil spill in the Gulf of Mexico and the Fukushima Daiichi nuclear disaster, I think everyone agrees that we should plan to use energy resources that have low potential to cause catastrophic events.

We have begun projects that are targeting these issues. With GPU-accelerated computational tools, we are now able to study much larger problems at a level of detail that was not feasible before. These simulations can lead to new energy devices that are more efficient and have less environmental impact. I believe the capability to run faster and faster simulations with GPUs will one day enable us to predict, respond to and mitigate catastrophic events.

- Read the complete interview here

(Would you like to be in the CUDA Spotlight? Email cuda_week_in_review@nvidia.com)

Test Drive the Tesla MD SimCluster

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Want to test drive a GPU? Try the new Tesla Molecular Dynamics SimCluster, which is preconfigured to accelerate AMBER or NAMD. All you need to do to start a simulation is load your models. To test drive, visit www.nvidia.com/simcluster or email mdsimcluster (at) nvidia.com.

New CUDA Centers Announced
Congrats to all the new CUDA Research Centers and CUDA Teaching Centers, including Carnegie Mellon/Silicon Valley and the University of Edinburgh. For the complete list of newcomers, see this recent blog post: http://blogs.nvidia.com/2011/09/new-cuda-research-and-teaching-centers-announced/

MATLAB Acceleration on GPUs
Using MATLAB for GPU computing is ideal for engineers and scientists who want to take advantage of GPUs without low-level C or Fortran programming. Register for a free webinar on October 27 to learn how CUDA-enabled GPUs can help accelerate MATLAB computations: http://bit.ly/ondzzC.
For more info about GPU computing in MATLAB, see this recent MATLAB Digest article: http://bit.ly/pOiZg6.

Mini-Supercomputer from HP
The new GPU Starter Kit from HP provides a ready-to-use GPU computing cluster, straight out of the box. It combines eight HP ProLiant SL390 G7 servers (based on 24 Tesla M2070 GPUs) with 16 CPUs. For info, visit www.nvidia.com/docs/IO/43399/NV-Tesla-Starter-Kit.pdf or email Hpc-sales (at) hp.com.

Running CUDA on x86
In Dr. Dobb’s newsletter, Rob Farber writes: “Recent developments allow CUDA programs to transparently compile and run at full speed on x86 architectures. This advance makes CUDA a viable programming model for all application development, just like OpenMP. The PGI CUDA C/C++ compiler for x86 (from the Portland Group Inc.) is the reason for this recent change in mindset.”
- Learn more: http://drdobbs.com/high-performance-computing/231500166

NVIDIA Blog
New CUDA Research and Teaching Centers, by Chandra Cheij
Dive into Windows 8 with NVIDIA, by Stephen Jones
NVIDIA GPUDirect for Video and More, by Greg Estes

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CUDA Zone Blog
GPU Starter Kit Stirs Excitement, by Nadeem Mohammad

NEW: Each week we highlight a session from GTC 2010. Here is our pick for this week:

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Using GPUs for Real-Time Brain-Computer Interfaces (GTC 10)
Adam Wilson – University of Cincinnati
http://nvidia.fullviewmedia.com/gtc2010/0922-c-2122.html

NEW: The Joint Research Centre of the European Commission is seeking a CUDA programmer with image processing experience to support operational emergency mapping initiatives. The position is based in Italy. Application deadline is Oct. 3, 2011.
- See: http://ipsc.jrc.ec.europa.eu/jobs.php?idx=72

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Feel free to attend these upcoming GPU Meetups! The atmosphere is casual and collaborative. Participants and sponsors are warmly welcomed.

- United States
New York GPU Meetup – Sept. 26, 6:00 pm
South Florida GPU Meetup – Sept. 26, 6:30 pm
Boston GPU Meetup – Oct. 6, 6:00 pm
Silicon Valley GPU Meetup – Oct. 10, 6:15 pm
New York GPU Meetup – Oct. 24, 6:00 pm (Special joint meeting with
C++ Dev Group)

SC11: NVIDIA GTC Express Live Theater (Nov. 12-18)
Poster deadline: Sept. 27
http://www.gputechconf.com/page/worldwide-submissions.html

GTC Asia 2011 (Dec. 14-15)
Poster deadline: Oct. 25
http://www.gputechconf.cn/en/call-for-posters.html

GTC U.S. 2012 (May 14-17)
Session deadline: Nov. 3
Poster deadline: Dec. 8
http://www.gputechconf.com/page/participate.html

Mathematics: SIAM 12 (July 9-13)
Paper and award deadline: Oct. 1
http://www.siam.org/meetings/an12/
http://www.siam.org/prizes/nominations/nom_cse.php

Bioinformatics: BICoB 2012 (March 12-14)
Paper deadline: Oct. 28
http://sce.uhcl.edu/bicob12/

September 2011	back to the top

- SEG (Society of Exploration Geophysicists) Annual Meeting

Sept. 18-23, 2011, San Antonio, Texas

http://www.seg.org/events/annual-meeting/sanantonio2011/am2011techprogram

- CUDA 3-Day Training Course — Tech-X

Sept. 19-21, 2011, Boulder, Colorado

Presented by Tech-X

http://www.txcorp.com/products/GPULib/cuda_training/download.php

- Russian-German HPC School

Sept. 19-30, 2011, Novosibirsk

http://conf.nsc.ru/hpcschool

- SPIE Conference on High-Performance Computing in Remote Sensing

Sept. 19-22, 2011, Prague, Czech Republic

http://spie.org/rs11

- CUDA Optimization (Webinar)

Sept. 20, 2011

Presented by Timothy Schroeder, NVIDIA

https://www2.gotomeeting.com/register/936728978

- CUDA Optimization (Webinar)

Sept. 27, 2011

Presented by Gernot Ziegler, NVIDIA

https://www2.gotomeeting.com/register/260445946

- GPU-Accelerated Derivative Pricing Models — SciComp

Sept. 27, 2011, New York

Presented by SciComp, NVIDIA, Dell, Microsoft

http://www.scicomp.com/seminars/2011/signup

- NEW: CUDA 4-Day Training Course — Acceleware

Sept. 27-30, 2011, London, UK

Presented by Acceleware with Microsoft

http://acceleware.com/sep27london

October 2011

- CUDA Optimization (Webinar)

Oct. 4, 2011

Presented by Paulius Micikevicius, NVIDIA

https://www2.gotomeeting.com/register/273766338

- NEW: CUDA 4-Day Training Course – Acceleware

Oct. 11-14, 2011, Los Angeles, Calif.

Presented by Acceleware with Microsoft

http://acceleware.com/oct11los-angeles

- GPU-Accelerated Derivative Pricing Models — SciComp

Oct. 17, 2011, London, UK

Presented by SciComp, NVIDIA, Dell, Microsoft

http://www.scicomp.com/seminars/2011/signup

- NEW: GPU Computing with MATLAB (Webinar)

Oct. 27, 2011

Presented by Sarah Wait Zaranek, MathWorks

http://www.mathworks.com/company/events/webinars/wbnr59816.html

November 2011

- NEW: CUDA 4-Day Training Course — Acceleware

Nov. 17-4, 2011, Frankfurt, Germany

Presented by Acceleware with Microsoft

http://acceleware.com/nov1frankfurt

- Supercomputing 2011 (SC11)

Nov. 12-18, Seattle, Washington

http://sc11.supercomputing.org/

- NEW: GPU Programming for Defense/Intelligence — AccelerEyes (Webinar)

Nov. 15, 2011

Learn to accelerate common defense and intelligence algorithms using easy, powerful programming libraries, with Jacket for use with MATLAB and LibJacket for C/C++/Fortran.

http://bit.ly/rdZ8pH

- NEW: CUDA Training (Basic and Advanced) — CAPS

Nov. 22-24, 2011, Rennes, France

http://t.co/DWe0Zqka

Email: training (at) caps-entreprise.com

December 2011

- NEW: AGU (American Geophysical Union) Meeting

Dec. 5, 2011, San Francisco

Session on High-Res Modeling Using GPU and Many-Core Architectures

http://sites.agu.org/fallmeeting/scientific-program/session-search/530

- NEW: GTC Asia

Dec. 14-15, 2011, Beijing, China

Featuring the latest GPU computing breakthroughs, demos and presentations.

http://www.gputechconf.cn/home.html

- NEW: LibJacket CUDA Library for Maximus — AccelerEyes (Webinar)

Dec. 15, 2011

Learn to integrate computations with visualizations in a CUDA-based app through simple visualization functions for plotting, image and volume rendering, and more.

http://bit.ly/rdZ8pH

(To list an event, email: cuda_week_in_review@nvidia.com)

Downloads	back to the top
– CUDA 4.0: 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

– 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
– Stayed tuned to GPGPU news and events: www.gpgpu.org
– Learn more about CUDA on CUDA Zone: www.nvidia.com/cuda
– Check out the NVIDIA Research page: www.nvidia.com/research

CUDA Recommended Reading

– Future of Computing Performance: http://bit.ly/hYqH2H
– Supercomputing for the Masses, Part 21: http://is.gd/Fj56gf
– CUDA books: http://www.nvidia.com/object/cuda_books.html

CUDA Recommended Viewing

– The Third Pillar of Science: www.nvidia.com/object/race-for-better-science.html

– GTC 2010 presentations: www.nvidia.com/gtc

– SC10 presentations: www.nvidia.com/object/sc10_theater.html

CUDA is NVIDIA’s parallel computing hardware architecture. 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: cuda_week_in_review@nvidia.com

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Archiwum dla Wrzesień, 2011

Tygodniowy newsletter “CUDA: Week in Review.” – 20.09.2011

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