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As the end of the year draws near, we would like to recognize and thank our CUDA Spotlights:

July – December 2011

Anders Eklund, Linkoping University: GPU-Accelerated Medical Imaging

Jeffrey Vetter, ORNL & Georgia Tech: GPU-Accelerated Real Science

William Putman, NASA: GPU-Accelerated Climate Simulation

Mehdi Raessi, UMass-Dartmouth: GPU-Accelerated Multi-Phase Flow

Alexander Doronin, Univ. of Otago: GPU-Accelerated Biophotonics

Ross Walker, UC San Diego: GPU-Accelerated Molecular Dynamics

Denis Bastieri, University of Padua: GPU-Accelerated Astronomy

Jesse Rosenzweig, Elemental: GPU-Accelerated Video Processing

Vincent Natoli, Stone Ridge Technology: GPU-Accelerated Science

January – June 2011

Axel Kohlmeyer, Temple University: GPU-Accelerated Discovery

John Humphrey, EM Photonics: GPU-Accelerated Linear Algebra

Wu-Chun Feng, Virginia Tech: Compute the Cure

Kang Zhang, Johns Hopkins University: Tools For Microsurgeons

Vitaliy Lomakin, UCSD: GPU-Accelerated Electromagnetic Simulators

Ren Wu, HP Labs: GPU-Accelerated Large-Scale Analytics

Stephen Fried, Microway: GPU Computing Momentum

Andre Brodtkorb, SINTEF: Modeling the Real World in Real Time

Andrew Sheppard: GPUs in the Big Apple

Allan Engsig-Karup, DTU: Simulating Waves in Denmark

Joshua Adelman, Univ. of Pittsburgh: Molecular Research + GPUs

2010

Martin Peniak, Univ. of Plymouth: Developing Robots with CUDA

Douglas Miles, PGI: PGI Partnership

Arnaud Mazurier, ERM & Francois Curnier, Digisens: 2.1 Billion Years Ago

Ben Jiang, Nexiwave: Voice Search Accelerated by CUDA

(To suggest a CUDA Spotlight, email cuda_week_in_review@nvidia.com)

CUDA Calendar

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

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

Jan. 10, 2012, 10 am PT

Presenter: David Lecomber, CTO, Allinea Software

- 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 Programming 1-Day Course – Delft University of Technology

Feb. 3, 2012, Delft, Netherlands

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

- 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

- GPGPU5

March 3, 2012, London, England

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

- SPIE: Defense, Security and Sensing

April 23-27, 2012, Baltimore, Maryland

http://spie.org/x6765.xml

- INPAR 2012

May 13-14, 2012, 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, Omaha, Nebraska

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

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

CUDA RESOURCES

Accelerate Apps with Directives

CUDA on the Web

– Learn more about CUDA on CUDA Zone: www.nvidia.com/cuda
– 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://www.nvidia.com/object/cuda_books.html

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: cuda_week_in_review@nvidia.com

You are receiving this email because you have previously expressed interest in NVIDIA products and technologies. Click here to opt in specifically to CUDA: Week in Review.

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Tygodniowy newsletter “CUDA: Week in Review.” – 02.12.2011

e-on — Fri, 02 Dec 2011 16:38:35 +0000

Fri., Dec. 2, 2011, Issue #66

Click here for online version

CUDA: WEEK IN REVIEW

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

CUDA SPOTLIGHT
Anders Eklund, Linkoping University

CUDA TOP STORIES

New CUDA Book

SC11 News Wrap-Up

GTC Asia Just Around the Corner

Help Name the New ‘CUDA on ARM Dev Kit’

Map the World of GPU Computing

New CCOEs

CONTENTS

CUDA JOBS

- Read the full interview with Anders Eklund
- See video on 4D Image Denoising
- See video on the Brain-Computer Interface

Sign up to be a CUDA Registered Developer
Follow @GPUComputing on Twitter

CUDA SPOTLIGHT

GPU-Accelerated Medical Image Processing
For this week’s Spotlight we interviewed Anders Eklund, a Ph.D. student at Linkoping University in Sweden. Anders is affiliated with the University’s Center for Medical Image Science and Visualization (CMIV). Here’s a preview of our conversation:

NVIDIA: Anders, what is your research focused on?

Anders: I work with algorithms for medical image processing, such as image registration and image denoising. My research is especially focused on functional magnetic resonance imaging (fMRI), where you try to find brain activity from magnetic resonance images (MRIs) of the brain.

My interests include brain-computer interfaces (BCI) with real-time fMRI, where the fMRI data is processed in real-time as the subject is in the MR scanner. A brain-computer interface could help people communicate who are paralyzed or suffer from Locked-in syndrome.

NVIDIA: How does GPU computing play a role in your work?

Anders: GPU computing is very important for me and the research group in which I work, as many of the algorithms that we develop are very computationally demanding. To be able to develop, evaluate and improve an algorithm, it really helps if the processing time for one run can be reduced from minutes to seconds, or from hours to minutes.

NVIDIA: As computing becomes more powerful, what can we look forward to?

Anders: One exciting trend within medical imaging is to move the processing of the data into the surgery room, such that the medical doctors can get real-time feedback during surgery.

Editor’s Note: Anders will present on 4D medical image processing at GTC 2012 in May in San Jose, Calif.

(To suggest a CUDA Spotlight, email cuda_week_in_review@nvidia.com)

CUDA DEVELOPER NEWS

New CUDA Book

Congrats to author Rob Farber on the release of “CUDA Application Design and Development.” Published by Morgan Kaufmann and available on Amazon, this book is designed for software developers who want to leverage GPU programming with CUDA to increase efficiency.
- See: http://amzn.to/rQZrqS

SC11 News Wrap–Up

This year’s     Supercomputing conference (SC11) in Seattle was action-packed. Here is a     roundup of some of the news highlights:
- OpenACC Programming Standard for Parallel Computing     Unveiled
- BSC to Deploy World’s First ARM-Based CPU/GPU Hybrid     Supercomputer
- NVIDIA Tesla GPUs to Accelerate NCSA Blue Waters     Supercomputer

Accelerate Apps Easily with Directives on GPUs

As part of the recently announced “2X in 4 Weeks” program, Professor Amin Kayali from the University of Houston accelerated his micromagnetic simulation code by 20X in less than two days by inserting directives, or “compiler hints,” into his CPU code. The compiler uses these directives to map compute-intensive portions of the code to the GPU. Want to accelerate your code? To help you get started, NVIDIA and PGI are offering a free 30-day license of the directives-based PGI Accelerator compiler.
- See: http://www.nvidia.com/object/tesla-2x-4weeks-guaranteed.html?cid=dev#19

GTC Asia Just Around the Corner

The next GPU Technology Conference (GTC) will be held in Beijing on Dec. 14-15. The event will be kicked off with a keynote by NVIDIA CEO Jen-Hsun Huang, followed by a great line-up of speakers from the Chinese Academy of Sciences, Harvard, HP Labs, Tokyo Institute of Technology, Tsinghua University and other leading organizations.
- See: http://www.gputechconf.cn/page/home-en.html

Help Name the New ‘CUDA on ARM Dev Kit’

At SC11 we announced plans for an ARM-based GPU computing development kit to support the growing demand for energy-efficient HPC initiatives. The kit will feature a quad-core NVIDIA Tegra 3 ARM CPU accelerated by a discrete NVIDIA GPU. We are very excited about this technology and are looking for the perfect codename. Call up your creative juices and submit an idea. If your suggestion is chosen, you will receive a free Dev Kit when it launches next year!
- See: http://bit.ly/cudaarmnews

NEWS FROM ACADEMIA

Map the World of GPU Computing

If your university or research organization has a GPU compute cluster, let the world know about it by adding it to the new GPU Computing map. For info, read the blog post by NVIDIA’s Devang Sachdev.
- See: http://bit.ly/sE86d3

New CCOEs

Two new institutions have been named CUDA Centers of Excellence: The Barcelona Supercomputing Center and Lomonosov Moscow State University. The CUDA Center of Excellence designation is the highest honor given to institutions for ground-breaking work leveraging NVIDIA GPUs and CUDA.
- See: http://bit.ly/vAhZew

NEW ON THE BLOG

Tokyo Tech Nabs Gordon Bell Prize, by Sumit Gupta
Exascale: An Innovator’s Dilemma, by Andy Walsh
GPUs Give Students Edge in SC11 Cluster Competition, by Andy Walsh

REPLAY OF THE WEEK

NEW: Our pick for this week is: Why the Future of HPC Will Be Green (SC11) by Steve Scott, NVIDIA
- See: http://nvidia.fullviewmedia.com/fb/nv-sc11/tabscontent/archive/313-wed-scott.html

CUDA JOBS

NEW: Cal Tech is seeking a Computational Scientist to engineer scientific software to make effective use of accelerators, particularly GPUs. Initial responsibility will be optimizing codes to exploit a large new hybrid (CPU/GPU) cluster in the Division of Geological and Planetary Sciences. Apps include Bayesian models of fault slip during large earthquakes, inverse models of the Earth’s interior structure, large-scale remotely sensed image processing and models for use in rapid tsunami early warning systems.
- See: https://jobs.caltech.edu/applicants/jsp/shared/Welcome_css.jsp (Note: Search on ‘computational scientist’)

(To submit a job listing, email cuda_week_in_review@nvidia.com)

GPU MEETUPS

The GPU Meetups offer a great way to learn about GPU computing and meet interesting people in a relaxed environment:

Silicon Valley GPU Meetup, Mon., Dec. 5, 6:15 pm

New York GPU Meetup, Thurs., Dec. 8, 6:00 pm (Special topic: The Business of GPUs)

Brisbane GPU Meetup, Australia, Thurs., Dec. 15, 6:00 pm

(Would you like to start a Meetup? Email cuda_week_in_review@nvidia.com)

CALLS FOR PAPERS AND POSTERS

GTC U.S. 2012 (May 14-17)
Poster deadline: Dec. 8
http://www.gputechconf.com/page/participate.html
https://gtc-submissions.confreg.com/

CUDA Calendar

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

December 2011

- AGU (American Geophysical Union) Meeting

Dec. 5, 2011, San Francisco

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

- Intro to GPU Programming Workshop — La Maison de la Simulation

Dec. 5-9, 2011, France

http://www.maisondelasimulation.fr/index.php

- NEW: CUDA Training by Acceleware with Microsoft

Dec. 6-9, 2011, Calgary, Canada

Trainer: Michael Durocher

http://www.acceleware.com/dec6calgary

- NEW: CUDA Training by T-Platforms and Moscow State University

Dec. 12-16, 2011, Moscow

Conducted by Applied Parallel Computing

http://www.t-platforms.com/about-company/cuda.html

- GTC Asia

Dec. 14-15, 2011, Beijing, China

Featuring the latest GPU computing breakthroughs, demos and presentations.

http://www.gputechconf.cn/page/home-en.html

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

- 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/rdZ8pHs

2012

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

Feb. 3, 2012, Netherlands

- NEW: 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

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

CUDA RESOURCES

Tesla MD SimCluster

– Want to test drive a GPU? Try the Tesla Molecular Dynamics SimCluster:
www.nvidia.com/simcluster

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

CUDA 4.1 Release Candidate

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
– Stay 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

– SC11 presentations: http://www.gputechconf.com/page/gtc-on-demand.html

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

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

ABOUT CUDA

You are receiving this email because you have previously expressed interest in NVIDIA products and technologies. Click here to opt in specifically to CUDA: Week in Review.

Feel free to forward this email to customers, partners and colleagues.

Tygodniowy newsletter “CUDA: Week in Review.” – 11.11.2011

e-on — Fri, 11 Nov 2011 16:37:54 +0000

Fri., Nov. 11, 2011, Issue #65

Click here for online version

CUDA: WEEK IN REVIEW

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

CUDA SPOTLIGHT
Dr. Ian Buck, NVIDIA

CUDA TOP STORIES

2X in 4 Weeks. Guaranteed

Leading Apps Add GPU Acceleration

New CULA Sparse from EM Photonics

MSC Announces MSC Nastran 2012

Chinese Researchers Simulate H1N1 Virus

New Research from IDC

CUDA Course in Egypt from Applied Parallel Computing

GPU Computing Gems – Jade Edition

GPU@BU Workshop

CONTENTS

CUDA JOBS

- Read the full interview with Ian Buck

Sign up to be a CUDA Registered Developer
Follow @GPUComputing on Twitter

CUDA Turns 5!
This week marks the fifth anniversary of the CUDA programming model. To celebrate the occasion, we caught up with Ian Buck, inventor of CUDA and NVIDIA’s General Manager for GPU Computing. Here is a preview of the interview:

NVIDIA: Ian, how did you get hooked on computing with GPUs?

Ian: During my Ph.D. studies at Stanford, the trends in programmable graphics hardware were really exciting to me as well as the opportunity to work on technology that could influence a wide breadth of sciences, whether it was molecular dynamics, mechanical engineering or turbulence research. I could see that GPUs were becoming powerful enough to help people working on the big questions in science.

NVIDIA: How did you first start using GPUs? Was it as a programmer or a gamer?

Ian: Let’s just say that Stanford had a great internet connection, and as a result, we had an awesome QuakeServer.

NVIDIA: What’s next for GPU computing?

Ian: GPU computing is going mainstream. And it’s not just about NVIDIA. Just look at the great work being done with tools, compilers and apps. Ad hoc GPU user groups are popping up all over the world. A gigantic ecosystem is coming to life. Today, any kind of meaningful simulation is done with GPUs. This focused activity will enable us to solve some of the fundamental problems in science.

NVIDIA: What have you learned along the way, since your days at Stanford working on Brook to your current role as GM for GPU Computing?

Ian: First of all, hire great people. Don’t compromise. The people who use CUDA in industry and academia are intensely driven. I look for the same drive in the people we hire to work on CUDA at NVIDIA — intellectual curiosity combined with a passion to solve cool and interesting problems. Second, don’t underestimate the value of working on productivity features for developers. The CUDA technology roadmap is focused on making GPU computing easier. Anything we can do to make a developer’s life easier is always worth it.

Editor’s Note: Next week, Ian will be at the SC11 conference in Seattle and would be happy to meet up with current and future CUDA users. If you can’t attend in person, be sure to check out our Facebook live stream from SC11 at: http://apps.facebook.com/nv-supercomputing/

(To suggest a CUDA Spotlight, email cuda_week_in_review@nvidia.com)

CUDA 4.1 Release Candidate

The CUDA Toolkit v4.1 release candidate (RC1) is now available to CUDA Registered Developers. New features include an open source LLVM-based compiler, 1000+ new image processing functions and a redesigned Visual Profiler with automated performance analysis.
- See: http://developer.nvidia.com/cuda-toolkit-41-rc1

2X in 4 Weeks. Guaranteed.

Double your application performance with directives and GPUs. Simply insert a few “hints” into the compiler and it automatically optimizes and accelerates your code. To help you get started, NVIDIA and PGI are offering a free 30-day license of the directives-based PGI Accelerator compiler. Not only that, we are guaranteeing your application will achieve at least a 2X speedup in 4 weeks or less.
- See: www.nvidia.com/2xin4weeks

Leading Apps Add Multiple GPU Acceleration Support

Four top applications for materials science and biomolecular modeling – LAMMPS, GROMACS, GAMESS and QMCPACK – have added support for multiple GPU acceleration, enabling a reduction in simulation times from days to hours.
- See: http://bit.ly/uqOmu2

New CULA Sparse from EM Photonics

EM Photonics released the general availability version of CULA Sparse, a collection of matrix solvers for sparse systems on NVIDIA GPUs. In addition, new functionality has been added to CULA R13.
- See: www.culatools.com

MSC Software Announces MSC Nastran 2012

MSC Software announced MSC Nastran 2012, available for download in late November. The software will be GPU accelerated.
- See: www.mscsoftware.com/About-Us/News/Default.aspx?articleid=1355

Chinese Researchers Simulate H1N1 Virus

Chinese researchers achieved a breakthrough by creating the world’s first computer simulation of a whole H1N1 influenza virus at the atomic level. Researchers at the Institute of Process Engineering of Chinese Academy of Sciences (CAS-IPE) are using molecular-dynamics simulations as a “computational microscope” to peer into the structure of the virus. The work is performed on a supercomputer with 2000+ Tesla GPUs.
- See: http://www.nvidia.com/object/newsroom.html

New Research from IDC

IDC published a report on “Heterogeneous Computing: A New Paradigm for the Exascale Era.”
- See: http://blogs.nvidia.com/wp-content/uploads/2011/11/IDC-Exascale-Executive-Brief_Nov2011.pdf

New CUDA Course in Egypt from Applied Parallel Computing

Applied Parallel Computing will hold an advanced three-day course on GPU computing and CUDA in Sharm El Sheikh, Egypt, Dec. 13-16.
- See: http://cuda-training.eventbrite.com/

GPU Computing Gems – Jade Edition

The second volume of Morgan Kaufmann’s GPU Computing Gems series offers insights, ideas and hands-on skills. The 30 chapters are written to be accessible to researchers from any industry.
- See: http://www.amazon.com/GPU-Computing-Gems-Jade-Applications/dp/0123859638

GPU@BU Workshop

Boston University held a research symposium and tutorial this week on GPUs in scientific computing. The event was organized by Lorena Barba, Richard Brower, Martin Herbordt and Claudio Rebbi.
- See: http://blogs.bu.edu/gpu/gpubu-workshop/

Path to Exascale Computing, by Sumit Gupta
GPU Acceleration Made Easy, by Roy Kim

NEW: Each week we highlight a session from a GPU Technology Conference event. Here is our pick for this week: Large-Scale CCTV Face Recognition (GTC 2010) by Abbas Bigdeli and Ben Lever, NICTA
- see: http://nvidia.fullviewmedia.com/gtc2010/0923-c-2173.html

NEW: Sportvision is seeking a Senior Software Engineer with a proven track record working with computer vision based products. Requirements: Enthusiasm and ability to participate in solving interesting and complex problems.
- See: http://www.sportvision.com/info/srsoftwareengineer
(To submit a job listing, email cuda_week_in_review@nvidia.com)

The GPU Meetups offer a great way to learn about GPU computing and meet interesting people in a relaxed environment.

GPU Meetup of Seattle, Wed., Nov. 16, 7:00 pm (networking), 7:45 pm (program)

Special SC11 Meetup! Talks by NVIDIA, Microsoft, LexisNexis. Location: Amazon

GPU Meetup of New Mexico, Wed., Nov. 16, 7:00 pm

Topic: ROMIO and MPI-IO in Hybrid HPC

GPU Meetup of Brisbane, Nov. 17, 6:00 p.m

GPU Meetup of New York City, Nov. 21, 6:00 pm

(Would you like to start a Meetup? Email cuda_week_in_review@nvidia.com)

GTC U.S. 2012 (May 14-17)
Poster deadline: Dec. 8
http://www.gputechconf.com/page/participate.html
https://gtc-submissions.confreg.com/

November 2011	back to the top

- Supercomputing 2011 (SC11)

Nov. 12-18, Seattle, Washington

Learn about NVIDIA activities at SC11: http://www.nvidia.com/sc11

For more information on SC11, visit http://sc11.supercomputing.org/

Join the GPU Technology Theater from your desk via the SC11 Facebook live stream: http://apps.facebook.com/nv-supercomputing/

- 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.

https://www2.gotomeeting.com/register/164396834

- Heterogeneous Data-Parallel Programming (Webinar)

Nov. 16, 2011

Presenter: Prof. Satnam Singh, University of Birmingham, U.K.

- NEW: CUDA 4.1 RC1 (Webinar)

Nov. 22, 2011

Presented by NVIDIA

https://www2.gotomeeting.com/register/775971282

- CUDA Training (Basic and Advanced) — CAPS

Nov. 22-24, 2011, Rennes, France

Presented by CAPS

http://t.co/DWe0Zqka

Email: training (at) caps-entreprise.com

- CUDA 4-Day Training Course – Acceleware

Nov. 22-25, 2011, Frankfurt, Germany

Presented by Acceleware with Microsoft

Instructor: Michael Durocher

http://www.acceleware.com//nov22munich

December 2011

- 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

- Intro to GPU Programming Workshop – La Maison de la Simulation

Dec. 5-9, 2011, France

http://www.maisondelasimulation.fr/index.php

- NEW: Advanced CUDA 3-Day Training Course – Applied Parallel Computing

Dec. 13-16, Sharm El Sheikh, Egypt

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

- GTC Asia

Dec. 14-15, 2011, Beijing, China

Featuring the latest GPU computing breakthroughs, demos and presentations.

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

- 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/rdZ8pHs

2012

- NEW: CUDA Programming 1-Day Course – Delft University of Technology

Feb. 3, 2012, Netherlands

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

Tesla MD SimCluster	back to the top
– Want to test drive a GPU? Try the Tesla Molecular Dynamics SimCluster: www.nvidia.com/simcluster
Downloads
– 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

NVIDIA GPU Tech Theater at SC11

CUDA GPUs

– List of CUDA-enabled GPUs: http://developer.nvidia.com/cuda-gpus

CUDA on the Web

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

You are receiving this email because you have previously expressed interest in NVIDIA products and technologies. Click here to opt in specifically to CUDA: Week in Review.

Feel free to forward this email to customers, partners and colleagues.

Tygodniowy newsletter “CUDA: Week in Review.” – 01.11.2011

e-on — Tue, 01 Nov 2011 16:37:09 +0000

Tue., November 1, 2011, Issue #64

Click here for online version

CUDA: WEEK IN REVIEW
Welcome to the online newsletter for the worldwide CUDA, GPGPU and parallel programming ecosystem.

CUDA SPOTLIGHT
Dr. Jeffrey Vetter, Oak Ridge National Laboratory

CUDA TOP STORIES

Oak Ridge National Lab and Titan

GTC Submission Deadline

Cornell Launches Red Cloud

Congrats to Francesco Rossi

Video for Geo-Spatial Awareness

CONTENTS

CUDA JOBS

Sign up to be a CUDA Registered Developer
Follow @GPUComputing on Twitter

GPU-Accelerated Real Science
This week’s Spotlight is on Dr. Jeffrey Vetter of Oak Ridge National Laboratory and Georgia Tech. Here’s an extract from our interview:

NVIDIA: Jeff, what is the focus of your work?

Jeff: Over the last decade, I have been investigating hardware and software technologies that will most likely appear in future supercomputer systems, and which of those technologies best satisfy specific application workloads. I have worked on a number of projects: IBM BlueGene/L, Cray X1, Cray XT, FPGAs, GPUs and other technologies. Our team’s early work has contributed to the design and deployment of the NSF Keeneland system and the DOE Titan system.

Not surprisingly, our work over the last several years has primarily focused on GPUs. Our team is involved in most every aspect of GPUs in computational science: future architectures, programming systems, applications development, and education and outreach. For example, we are partners on NVIDIA’s Echelon research project, which is sponsored by the DARPA UHPC program with the goal of fitting one PetaFLOPS in one rack and using less than 57K watts of power….

NVIDIA: What are the key drivers in supercomputing today?

Jeff: From the facility or data center perspective, the key driver is the energy required for running large scale supercomputers. This is not just a prediction. Look at most contemporary supercomputing facilities: they are often limited by the amount of power that can be physically delivered to the computer in the building….

On the other hand, applications developers are most concerned about programmability. The last significant transition for the scientific computing community was the transition in the 1990s from vector computing to distributed memory computing with MPI. In order to provide solutions to these questions, our team is investigating multiple fronts: CUDA, compiler directives, runtime libraries, frameworks and debugging and correctness tools. It is an exciting time to be in computer science!

NVIDIA: How does CUDA fit into the modern computing landscape?

Jeff: CUDA is a phenomenon. In less than five years, the CUDA programming model has grown from its initial introduction to wide adoption. It is easy to forget how challenging it was to program GPUs prior to CUDA. These days, CUDA is so pervasive that many students get their first introduction to parallel programming and fine-grained parallelism with CUDA on their laptop GPU….

- Read the complete interview with Jeff Vetter

(To suggest a CUDA Spotlight, email cuda_week_in_review@nvidia.com)

NVIDIA GPU Technology Theater at SC11

Going to SC11 in Seattle? If so, drop by the GPU Technology Theater at the NVIDIA booth (#2719). The Theater will feature talks from industry experts including Jack Dongarra, University of Tennessee; Patrick McCormick, Los Alamos National Laboratory; Richard Brower, Boston University; and Satoshi Matsuoka, Tokyo Institute of Technology. For the complete speaker lineup, visit the NVIDIA SC11 event page. The talks will be streamed live via Facebook at http://apps.facebook.com/nv-supercomputing/.

Oak Ridge National Lab to Deploy Titan
Oak Ridge National Laboratory (ORNL), which operates the world’s premier open science computing facility for the U.S. Department of Energy, will deploy a new supercomputer called Titan, based on Tesla GPUs. The system, which is referenced in today’s CUDA Spotlight with Dr. Jeff Vetter, will be used across fields such as materials science, energy technology, medical research and more.
- See the VentureBeat interview with NVIDIA’s Steve Scott (8 mins.): http://youtu.be/IkC8YRo9Mts

GTC U.S. Submission Deadline
If you (or someone you know) is interested in speaking at GTC U.S. (May 2012), proposals must be submitted by Thurs., Nov. 3, 2011. Details can be found on the GTC website.
- To make a submission, visit: https://gtc-submissions.confreg.com/

Cornell Launches Red Cloud
The Cornell University Center for Advanced Computing (CAC) has launched Red Cloud, an on-demand research supercomputing service available by subscription. The basic offering, called “Red Cloud,” is an Infrastructure as a Service (IaaS) that runs Eucalyptus, the open source cloud computing platform. The second offering, “Red Cloud with MATLAB,” is a Software as a Service (SaaS) that runs MATLAB Distributed Computing Server and features NVIDIA GPUs. Red Cloud services run on Dell PowerEdge C servers.
- Visit www.cac.cornell.edu/redcloud

Congratulations to Francesco Rossi
Congratulations to Francesco Rossi, University of Bologna, on his recent master’s thesis titled: “Development of Algorithms for an Electromagnetic Particle in Cell Code….” While completing his thesis, Francesco developed Jasmine, a flexible CPU+GPU PIC (particle in cell) framework to assist in the design of laser-plasma accelerators. Jasmine runs PIC 3D simulations on multi-GPU clusters, such as CINECA’s Tesla-powered PLX, gaining large speedups.
- Read more: http://www.roxlabs.com/?page_id=110

Intergraph: Video for Geo-Spatial Awareness
At the recent GeoINT trade show, Intergraph announced a new release of its GeoMedia Motion Video Analyst solution with CUDA acceleration. GeoMedia Motion Video Analyst speeds the process of creating images from full motion video (FMV). This feature improves the ability of defense analysts to maintain situational awareness and act quickly on intelligence data.
- For info, see: http://bit.ly/pBjGMX

Webinar: Speed Up MATLAB With NVIDIA GPUs, by Dan Doherty, MathWorks
NVIDIA Engineering Strike Force, by Brian Kelleher
NVIDIA CEO Wraps Up All Things D Asia Event, by Bob Sherbin

NEW: Each week we highlight a session from a GPU Technology Conference event. Here is our pick for this week: Computer Vision on GPU with OpenCV (Israel 2011) by Anton Obukhov, NVIDIA
- For info, see: http://bit.ly/r5Qay6

NEW: GE Healthcare is seeking a software engineer to specify, design and implement software for a new X-ray acquisition system. Desired characteristics include experience with GPU/CUDA and imaging software.
- See: http://jobs.gecareers.com/job/Salt-Lake-City-Software-Engineer-II-HC-Job-UT-84101/1284204/
(To submit a job listing, email cuda_week_in_review@nvidia.com)

The GPU Meetups offer a great way to learn about GPU computing and meet interesting people in a relaxed environment. Please feel free to attend any of these upcoming Meetups:

GPU Meetup of Boston, Thurs., Nov. 3 at 6:00 pm

Topic: HPC and Protein Simulation, Francesco Pontiggia, Brandeis University

GPU Meetup of Silicon Valley, Mon., Nov. 7 at 6:15 pm

Topic: GPU Programming with Thrust and Copperhead, Bryan Catanzaro, NVIDIA

GPU Meetup of Seattle, Wed., Nov. 16, 7:00 pm (networking), 7:45 pm (program)

Special SC11 Meetup! Talks by NVIDIA, Microsoft, LexisNexis. Location: Amazon

GPU Meetup of New Mexico, Wed., Nov. 16, 7:00 pm

Topic: ROMIO and MPI-IO in Hybrid HPC

GPU Meetup of Brisbane, Nov. 17, 6:00 p.m

GPU Meetup of New York City, Nov. 21, 6:00 pm

(Would you like to start a Meetup? Email cuda_week_in_review@nvidia.com)

October Webinar Lineup

GTC Asia 2011 (Dec. 14-15)
Poster deadline: Nov. 3
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
https://gtc-submissions.confreg.com/

November 2011	back to the top

- NEW: Accelerate Science to Treatment with the MD SimCluster (Webinar)

Nov. 8, 2011

Tygodniowy newsletter “CUDA: Week in Review.” – 10.10.2011

e-on — Mon, 10 Oct 2011 16:36:15 +0000

Mon., October 10, 2011, Issue #63

Click here for online version

WELCOME
Welcome to CUDA: Week in Review, an online news summary for the worldwide CUDA, GPU computing and parallel programming ecosystem.

CUDA SPOTLIGHT
William Putman, NASA

CUDA TOP STORIES

Ecosystem Update

Awards and Recognitions

CONTENTS

CUDA JOBS

Follow @GPUComputing on Twitter

GPU-Accelerated Climate Simulation
This week’s Spotlight is on William Putman, a NASA research meteorologist in the Global Modeling and Assimilation Office (GMAO) in the Earth Sciences Division of Goddard Space Flight Center’s Sciences and Exploration Directorate. Here’s an extract from our interview:

NVIDIA: Bill, what does your group do?

Bill: Our research and development activities aim to maximize the impact of satellite observations in climate, weather and atmospheric composition prediction using comprehensive global models and data assimilation.

To achieve this goal, the GMAO develops models and assimilation systems for the atmosphere, ocean, and land surface, generates products to support NASA instrument teams and the NASA Earth Science program, and undertakes scientific research to inform system development pathways.

Within the GMAO we have a group of developers (Dr. Max Suarez, Dr. Matthew Thompson and myself) tasked with the restructuring of NASA’s Goddard Earth Observing System atmospheric general circulation model version 5 (GEOS-5) to take advantage of new accelerator technologies including GPUs.

NVIDIA: What are the benefits of using CUDA?

Bill: The Portland Group (PGI) offers us an opportunity to explicitly program for GPUs using CUDA Fortran and also provides a directive-based accelerator model. GEOS-5 is primarily written in Fortran, thus the PGI CUDA Fortran syntax allows us to develop GPU kernels in GEOS-5 using a familiar coding environment.

Like CUDA C, CUDA Fortran allows for low-level management of the initialization, data transfer, and coding details of a project without the need to translate legacy Fortran code into C. This aids both in speed of development and with keeping a readable (to developers) codebase within GEOS-5 while achieving much the same performance as CUDA C.

- Read the complete interview here

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

Check Out the October CUDA Webinar Lineup!

Tues., Oct. 11: PGI Accelerator for C – Simplified GPU Programming Using Directives
Presented by Dr. Michael Wolfe, The Portland Group
https://www2.gotomeeting.com/register/623491562

Tues., Oct. 11: CUDA Optimization: Memory Bandwidth Limited Kernels + Live Q&A
Presented by Tim Schroeder, NVIDIA
https://www2.gotomeeting.com/register/936728978

Wed., Oct. 12: Intro to Parallel Nsight and Features (Preview of Version 2.1)
Presented by Shane Evans, NVIDIA
https://www2.gotomeeting.com/register/522390506

Thurs., Oct 20: Overview and Usage of LibJacket CUDA Library
Presented by James Malcolm, AccelerEyes (with NVIDIA)
https://www2.gotomeeting.com/register/378528682

Thurs., Oct. 27: GPU Computing with MATLAB
Presented by Sarah Wait Zaranek, MathWorks
http://www.mathworks.com/company/events/webinars/wbnr59816.html

Ecosystem Update
Rogue Wave Software, provider of cross-platform software development tools, announced the release of TotalView 8.9.2 with support for CUDA 4.0: http://bit.ly/o6fobN

Awards and Recognitions
The Johns Hopkins University has been named a CUDA Center of Excellence, recognizing its ground-breaking work leveraging GPU computing. As a CCOE, Johns Hopkins will utilize equipment and grants provided by NVIDIA to support a number of research and academic programs, including deployment of the “Data-Scope,” a GPU-powered, ultra-high throughput supercomputer to dramatically increase the speed of scientific data analysis: http://bit.ly/qOiVRI

Boise State University, a CUDA Research Center, received two grants that     build on GPU computing initiatives:
- NOAA Field Research Office collaboration to develop a CUDA Fortran     version of NOAA’s HYSPLIT Air     Dispersion model: http://ready.arl.noaa.gov/HYSPLIT.php
- NSF CAREER Grant for multi-scale modeling of short-term forecasting and     grid integration of wind energy: http://1.usa.gov/p3xWRu

This year’s PRACE (Partnership for Advanced Computing in Europe) Award goes to a paper titled “Astrophysical Particle Simulations with Large Custom GPU Clusters on Three Continents.” Prof. Richard Kenway, Chairman of the PRACE Scientific Steering Committee, noted that “the work points the way to exploit exascale technologies for problems at the forefront of science.” http://www.prace-project.eu/news/the-prace-award-winners-2011-announced

CUDA on the Web
A new video on “Volt: Interactive Volume Rendering with CUDA” has been posted by the Computer Graphics Lab at the Bonn-Rhine-Sieg University of Applied Sciences. Volt is an interactive direct volume renderer that takes advantage of GPUs for high quality interactive ray casting.
- http://cg.inf.fh-bonn-rhein-sieg.de/?page_id=2700

The Irish Center for High-End Computing (ICHEC) launched a new website dedicated to GPU computing. ICHEC’s Director, Prof. James Slevin, said: “Computer simulation has now reached a level of predictability that firmly grounds its impact and importance along with theory and experimentation as the third pillar of science research.”
- http://gpgpu.ichec.ie/

Industrial Mathematics KTN released a new report on “The GPU Computing Revolution: from Multi-Core CPUs to Many-Core Graphics Processors.” Produced in collaboration with the London Mathematical Society, it was written by Simon McIntosh-Smith of the University of Bristol.
- https://connect.innovateuk.org/web/mathsktn/articles/-/blogs/the-gpu-computing-revolution

GPUs Storm into Climate Simulations, by Will Park

Inner Geek – Project GT90 Supercar, by Adam Pintek

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

Rapid Prototyping using Thrust: High Performance Dosimetry (GTC 10)
Guillaume Saupin – CEA, France
http://www.gputechconf.com/page/gtc-on-demand.html#2104

NEW: AIR, a provider of risk modeling software, is seeking a Senior Software Engineer in Boston, Mass. Responsibilities include contributing to development of next-generation HPC-based analytical framework, algorithms and tooling (using C++,C#, SQL and CUDA).
- Apply online: http://bit.ly/o74ZQe

https://www2.gotomeeting.com/register/623491562

Kudos to the South Florida GPU Meetup, organized by Adnan Boz, for designing a clever logo based on a fish swarm. The group recently held its third Meetup, where Adnan presented on “Thinking in Parallel.”

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

- US
Silicon Valley GPU Meetup – Oct. 10, 6:15 pm
New Mexico GPU Meetup – Oct. 15, 5:00 pm
New York GPU Meetup – Oct. 24, 6:00 pm (Special joint meeting with
C++ Dev Group)
South Florida GPU Meetup – Oct. 24, 6:30 pm

- Australia
Sydney GPU Meetup – Oct. 13, 6:00 pm
Melbourne GPU Meetup – Oct. 19, 5:30 pm
Brisbane GPU Meetup – Oct. 20, 6:00 pm

GTC Asia 2011 (Dec. 14-15)
Poster deadline: Nov. 3
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

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

October 2011	back to the top

- NEW: PGI Accelerator for C – Simplified GPU Programming Using Directives (Webinar)

Oct. 11, 2011

Presented by Dr. Michael Wolfe, The Portland Group

- NEW: CUDA Optimization: Memory Bandwidth Limited Kernels + Live Q&A (Webinar)

Oct. 11, 2011

Presented by Tim Schroeder, NVIDIA

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

- NEW: Intro to Parallel Nsight and Features (Webinar)

Oct. 12, 2011

Presented by Shane Evans, NVIDIA

https://www2.gotomeeting.com/register/522390506

- 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

https://www2.gotomeeting.com/register/378528682

- NEW: Overview and Usage of LibJacket CUDA Library – AccelerEyes (Webinar)

Oct 20, 2011

Presented by James Malcolm, AccelerEyes (with NVIDIA)

- 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

- CUDA 4-Day Training Course — Acceleware

Nov. 1-4, 2011, Frankfurt, Germany

Presented by Acceleware with Microsoft

http://acceleware.com/nov1frankfurt

- Supercomputing 2011 (SC11)

Nov. 12-18, Seattle, Washington

http://sc11.supercomputing.org/

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

- CUDA Training (Basic and Advanced) — CAPS

Nov. 22-24, 2011, Rennes, France

http://t.co/DWe0Zqka

Email: training (at) caps-entreprise.com

December 2011

- AGU (American Geophysical Union) Meeting

Dec. 5, 2011, San Francisco

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

- NEW: Intro to GPU Programming Workshop – La Maison de la Simulation

Dec. 5-9, 2011, France

http://www.maisondelasimulation.fr/index.php

- GTC Asia

Dec. 14-15, 2011, Beijing, China

Featuring the latest GPU computing breakthroughs, demos and presentations.

- 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.

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

Tesla MD SimCluster	back to the top
– Tesla MD SimCluster: www.nvidia.com/simcluster
Downloads
– 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

– List of CUDA-enabled GPUs: http://developer.nvidia.com/cuda-gpus

– 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

– 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

Test Drive Tesla MD SimCluster

– 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

You are receiving this email because you have previously expressed interest in NVIDIA products and technologies. Click here to opt in specifically to CUDA: Week in Review.

Feel free to forward this email to customers, partners and colleagues.

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

e-on — Tue, 20 Sep 2011 16:35:34 +0000

Tue., September 20, 2011, Issue #62

WELCOME
Welcome to CUDA: Week in Review, an online news summary for the worldwide CUDA, GPU computing and parallel programming ecosystem.

CUDA SPOTLIGHT
Mehdi Raessi, UMass-Dartmouth

CUDA TOP STORIES

New CUDA Centers Announced

MATLAB Acceleration on GPUs

HP Mini-Supercomputer

Running CUDA on x86

CUDA Jobs: European Commission

CONTENTS

CUDA JOBS

Follow @GPUComputing on Twitter

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

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

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:

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

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

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

- 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

- SPIE Conference on High-Performance Computing in Remote Sensing

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

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

- CUDA Optimization (Webinar)

Sept. 20, 2011

Presented by Timothy Schroeder, NVIDIA

- 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://acceleware.com/sep27london

- NEW: CUDA 4-Day Training Course — Acceleware

Sept. 27-30, 2011, London, UK

Presented by Acceleware with Microsoft

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.mathworks.com/company/events/webinars/wbnr59816.html

- NEW: GPU Computing with MATLAB (Webinar)

Oct. 27, 2011

Presented by Sarah Wait Zaranek, MathWorks

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

- 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

- NEW: GTC Asia

Dec. 14-15, 2011, Beijing, China

Featuring the latest GPU computing breakthroughs, demos and presentations.

- 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.

(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

– List of CUDA-enabled GPUs: http://developer.nvidia.com/cuda-gpus

– 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

– 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

GTC Worldwide Call for Submissions

– 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

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Tygodniowy newsletter “CUDA: Week in Review.” – 30.08.2011

e-on — Tue, 30 Aug 2011 16:34:37 +0000

Tue., August 30, 2011, Issue #61

Click here for online version

WELCOME
Welcome to CUDA: Week in Review, an online news summary for the worldwide CUDA, GPU computing and parallel programming ecosystem.

CUDA SPOTLIGHT
Alexander Doronin, Univ. of Otago

CUDA TOP STORIES

GTC Asia Announced

Project Maximus Update

GPU Mini-Supercomputer for Every Scientist

MAGMA v1.0 Supports Tesla GPUs

Gaussian to Support GPU Acceleration

CONTENTS

CUDA JOBS

Follow @GPUComputing on Twitter

GPU-Accelerated Biophotonics & Biomedical Optics
This week’s spotlight is on Alexander Doronin, a PhD candidate in the Biophotonics & Biomedical Imaging Research Group at the University of Otago in New Zealand.

His research interests include biophotonics, light-tissue interaction, Monte Carlo (MC) computational modeling and parallel programming on GPUs using CUDA.

NVIDIA: Alex, what is biophotonics?

Alex: Biophotonics refers to the interaction between biology and photonics. Photonics is a science that deals with the particle properties of light. A number of revolutionary applications have arisen in the field of photonics as a result of advancements in high technology and the miniaturization of solid-state optical/laser devices. A recent trend is the mapping of photonics technologies to the life sciences and medicine — hence the term “biophotonics” was coined. It is a fast moving and very exciting area of research.

NVIDIA: What’s an example of an application that could benefit from biophotonics?

Alex: One example is cancer diagnostics. The current, most widely-used methodology for cancer diagnosis is histological analysis with microscopy. However, morphological variations (and especially morphological changes associated with early grades of cancer tissue) are difficult to resolve regarding what type or sub-type of cancer is present.

In our research, we are investigating the use of circular polarized light — and the manipulation of the coherent properties of light — to improve cancer diagnostics. The technique has the potential to revolutionize the ability to detect cancer at the very early stage.

NVIDIA: Tell us about the online Monte Carlo tool developed by your group.

Alex: With the rapid growth of the Internet, rich, browser-based applications have become more and more popular. Solutions such as Google Apps, Google Docs, online video sharing and gaming portals have become a large part of our everyday life.

Leveraging modern, web-based technology, we have created a free online MC computational tool for researchers in the area of biophotonics and biomedical optics. On the server side, the tool is accelerated by CUDA GPUs. On the client side, a lightweight, user-friendly web interface allows multiple clients to set up optical system parameters, perform modeling, and download results in a typical journal paper format.

We are currently extending our GPU cluster with additional Tesla M2090s and are expecting even more performance. The online MC tool is made available to the worldwide biophotonics community through the Biophotonics & Biomedical Imaging Research Group, which is headed up by my supervisor, Dr. Igor Meglinski.

- Read the complete interview here

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

GTC Asia Announced

NVIDIA announced GTC Asia, the next major event in NVIDIA’s international series of GPU Technology Conference (GTC) events. GTC Asia will take place on Dec. 14-15, 2011 at the China National Convention Center in Beijing. www.gputechconf.cn

GTC Worldwide Call for Submissions
NVIDIA is now accepting poster proposals for the following events:
- GTC Express Live Theater @ SC11 (Nov. 12-18, 2011)
- GTC Asia 2011 (Dec. 14-15, 2011)
- GTC U.S. 2012 (May 14-17, 2012)
See: http://bit.ly/pLlsph
Project Maximus Update
NVIDIA’s ‘Project Maximus’ is an initiative to build a technology platform that enables workstation applications to take advantage of multi-GPU computing. By adding the computational power of a Tesla GPU with the advanced graphics capability of Quadro, users will be able to experience the highest level of productivity. Read what AnandTech’s Ryan Smith says about it: http://bit.ly/rpxoE6

A GPU Mini-Supercomputer for Every Scientist
The new GPU Starter Kit from HP is a pre-configured system that provides researchers with a ready-to-use GPU computing cluster, straight out of the box. It combines eight HP ProLiant SL390 G7 servers (containing 24 Tesla M2070 GPUs) with 16 CPUs. It is pre-configured with CUDA 4.0. For info, read Roy Kim’s recent blog on A GPU Mini-Supercomputer for Every Scientist or send an email to: Hpc-sales@hp.com

MAGMA v1.0 Supports Tesla GPUs
The Innovative Computing Laboratory (ICL) at University of Tennessee has released MAGMA v1.0 with support for NVIDIA Tesla GPUs. The MAGMA (Matrix Algebra for GPU and Multicore Architectures) Project aims to create a next generation of linear algebra libraries on heterogeneous systems. The ICL is directed by Dr. Jack Dongarra. http://icl.cs.utk.edu/magma/software/index.html

Gaussian to Support GPU Acceleration
NVIDIA, Gaussian, Inc., and The Portland Group (PGI) will develop a GPU-accelerated release of Gaussian, the quantum chemistry software app. Dr. Michael Frisch, president of Gaussian, said: “By coordinating the development of hardware, compiler technology and application software, the new app will bring the speed and cost-effectiveness of GPUs to the challenging problems and applications that Gaussian’s customers need to address.” http://www.nvidia.com/object/newsroom.html

A GPU Mini-Supercomputer for Every Scientist, by Roy Kim

NEW: Each week we highlight sessions from GTC 2010 and ISC 2011. Here are our picks for this week:

Enabling On Demand Value-At-Risk for Financial Markets (GTC 10)
Matthew Dixon – UC Davis and Jike Chong – Parasians
http://nvidia.fullviewmedia.com/gtc2010/0923-a7-2098.html

Texture Unit in 3D Volume Reconstruction (ISC 2011)
Karl Schwartz – Siemens AG
http://www.nvidia.com/content/PDF/isc-2011/Schwarz.pdf

NEW: Dell is seeking a systems engineer for its HPC engineering team in Austin, TX. Experience with GPUs, CUDA and/or OpenCL required. http://bit.ly/nSzOVD

http://acceleware.com/aug30chicago

If you are travelling to any of these locations, feel free to drop in to a GPU Meetup. Visitors are welcome.

- United States
Boston GPU Meetup – Sept. 1, 6:00 pm
New York GPU Meetup – (Special Meeting) Sept. 8, 6:00 pm
Silicon Valley GPU Meetup – Sept. 12, 6:15 pm
New York GPU Meetup – Sept. 26, 6:00 pm
Boston GPU Meetup – Oct. 6, 6:00 pm

- Australia
Sydney GPU Meetup – Sept. 15, 6:00 pm
Brisbane GPU Meetup – Sept. 15, 6:00 pm

August 2011	back to the top

- In-Depth CUDA Training (Presented by Acceleware, with Microsoft)

Aug. 30-Sept. 2, 2011, Chicago, Illinois

- NEW: ANSYS Regional Conference

Aug. 30, 2011, Chicago, Illinois

http://ansys.com/Conference/Chicago/

- NEW: ANSYS Regional Conference

Aug. 31-Sept. 1, 2011, Houston, Texas

http://ansys.com/Conference/Houston/

September 2011

- Advanced Numerical Methods on GPUs

Mini-symposium at ENUMATH 2011

Sept. 5-9, 2011, Univ. of Leicester, Leicester, UK

http://www2.le.ac.uk/departments/mathematics/research/enumath2011/minisymposia

- NEW: GPU Direct and Unified Virtual Addressing (Webinar)

Sept. 6, 2011

Presented by Timothy Schroeder, NVIDIA

https://www2.gotomeeting.com/register/410023659

- Parallel Processing and Applied Mathematics (PPAM 2011)

Sept. 11-14, 2011, Torun, Poland

Note: Scientific Computing with GPUs tutorial, incl. session by Tim Schroeder, NVIDIA

- Geospatial Summit

Sept. 13-14, 2011, Herndon, Virginia

http://www.gputechconf.com/object/gtc-express-webinar.html

- Rapid Problem Solving Using Thrust (Webinar)

Sept. 14, 2011

Presented by Nathan Bell, NVIDIA

Note: Thrust is a library that enables programmers to develop high-performance applications on CUDA with minimal effort.

- CUDA Course (Presented by SagivTech)

Sept. 18-20, 2011, Ramat Gan, Israel

Hands-on sessions and optimization techniques.

http://www.sagivtech.com/24054.html

- SEG (Society of Exploration Geophysicists) Annual Meeting

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

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

- CUDA Course (Presented by Tech-X)

Sept. 19-21, Boulder, Colorado

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

- Russian-German HPC School

Sept. 19-30, Novosibirsk

- SPIE Conference on High-Performance Computing in Remote Sensing

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

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

- NEW: CUDA Optimization: Memory Bandwidth Limited Kernels (Webinar)

Sept. 20, 2011

Presented by Timothy Schroeder, NVIDIA

- NEW: CUDA Optimization: Instruction Limited Kernels (Webinar)

Sept. 27, 2011

Presented by Gernot Ziegler, NVIDIA

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

- NEW: GPU-Accelerated Derivative Pricing Models

Sept. 27, 2011, New York

Presented by SciComp, NVIDIA, Dell, Microsoft

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

October 2011

- NEW: CUDA Optimization: Register Spilling and Local Memory Usage (Webinar)

Oct. 4, 2011

Presented by Paulius Micikevicius, NVIDIA

- NEW: GPU-Accelerated Derivative Pricing Models

Presented by SciComp, NVIDIA, Dell, Microsoft

Oct. 17, 2011, London, UK

http://sc11.supercomputing.org/

November 2011

- NEW: Supercomputing 2011 (SC11)

Nov. 12-18, Seattle, Washington

(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

– List of CUDA-enabled GPUs: http://developer.nvidia.com/cuda-gpus

– 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

– 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 Apps News Roundup

– 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

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Tygodniowy newsletter “CUDA: Week in Review.” – 22.08.2011

e-on — Mon, 22 Aug 2011 16:32:54 +0000

Mon., August 22, 2011, Issue #60

Click here for online version

WELCOME
Welcome to CUDA: Week in Review, an online news summary for the worldwide CUDA, GPU computing and parallel programming ecosystem.

CUDA SPOTLIGHT
Dr. Ross Walker, UCSD

CUDA TOP STORIES

Stanford Seminars on CUDA

SC 2011 – Register Today

ANSYS Regional Conferences

CONTENTS

CUDA JOBS

Follow @GPUComputing on Twitter

GPU-Accelerated Molecular Dynamics
This week’s spotlight is on Dr. Ross Walker, assistant research professor with the San Diego Supercomputer Center (SDSC) at UC San Diego and adjunct assistant professor in the Department of Chemistry and Biochemistry at UC San Diego.

Dr. Walker is a lead developer of AMBER (Assisted Model Building with Energy Refinement), a Molecular Dynamics (MD) software package for the simulation of biomolecules. A new update of AMBER, focusing on improved GPU acceleration, was recently made available to the public.

NVIDIA: Ross, tell us about the AMBER news announcement.

Ross: The announcement concerns a large scale update to the GPU acceleration support in AMBER. This is something we have been working on for the last nine months with funding from the National Science Foundation’s Scientific Software Infrastructure and Innovation program, in close collaboration with NVIDIA.

NVIDIA: What are potential applications of GPU-accelerated AMBER?

Ross: The latest update to GPU-accelerated AMBER provides performance that was previously unattainable, even with the fastest supercomputers. Thus we are now in a realm where for the first time we are talking about increasing capability and not just GPU acceleration. This widens the scope for the types of scientific questions one can attempt to solve.

NVIDIA: What kind of advantages have you achieved with CUDA?

Ross: I cannot begin to do justice to the revolution that GPU acceleration through CUDA is having on Molecular Dynamics. The GPU acceleration of MD through CUDA is, for the first time, making it possible for scientists to ‘experiment’ computationally. With our latest update, the performance of the code on a single Tesla M2090 GPU outstrips that achievable on 192 nodes of a Cray XT5 supercomputer.

NVIDIA: When you think about the future of Molecular Dynamics, what excites you the most?

Ross: We are only just beginning to scratch the surface in the types of questions we can ask with Molecular Dynamics. Traditionally it has been too slow and computationally expensive to make a significant impact in the drug discovery process but with GPU acceleration we are now at a point where the accuracy of MD approaches is no longer limited by the amount of sampling that can be done.

- Read the complete interview here

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

CUDA Apps Roundup: New Releases and Updates

- PGI CUDA Fortran v11.8 – CUDA development tool. www.pgroup.com/cudafortran
- ATL SeqNFind – Genomics toolset for bioinformatics. http://bit.ly/pexBP2
- TidePowerd GPU.NET v2.0 – New features. http://bit.ly/nNwk2m
- AccelerEyes Jacket v1.8 and LibJacket v1.1. http://bit.ly/n7zNl2
- CUDPP release v2.0 – CUDA data-parallel primitives library. http://bit.ly/nsbwx5
- TunaCode CUVI v0.5 – Image processing. http://cuvilib.com
- rCUDA v3.0 – CUDA calls to remote GPUs. http://bit.ly/n5vdV9
- Odeint – C++ library for ordinary differential equations. http://bit.ly/qeNeE3

Stanford     Seminars on High Performance Computing with CUDA
Stanford has posted videos from the Spring 2011 seminar series held at the     Institute for Computational and Mathematical Engineering (ICME). The ICME     is directed by Professor Margot Gerritsen.
- Lecture 1: Intro to HPC with CUDA 1 (Cyril Zeller)
- Lecture 2: Intro to HPC with CUDA 2 (Justin Luitjens)
- Lecture 3: Optimizations 1 – Global Memory (Inderaj Bains)
- Lecture 4: Optimizations 2 – Shared Memory (Steven Rennich)
- Lecture 5: Finite Difference Stencils on Regular Grids (Paulius     Micikevicius)
For videos, see: http://bit.ly/osrgYk
For slides, see: http://bit.ly/pYAEqN

SC 2011 – Register Today
- It’s not too early to register for SC 2011 in Seattle, Washington. The theme of the conference is Data Intensive Science: http://bit.ly/qRLIcB
- For a trip down memory lane, see proceedings from the inaugural SC conference in 1989: http://bit.ly/n4SPrC

ANSYS Regional Conferences
ANSYS, developer of CAE (computer-aided engineering) software, is hosting a series of regional conferences for end-users. The meetings are targeted to designers, engineers, analysts, managers and executives who are solving next-generation engineering challenges.
- To register, see: http://www.ansys.com/Conference
- To read more about NVIDIA and ANSYS, see: http://bit.ly/nOXze3

GPUs Crunch Data from Square Kilometer-Sized Radio Telescope, by Heather Mackay

NEW: Each week we highlight sessions from GTC 2010 and ISC 2011. Here are our picks for this week:

Harnessing the GPU to Accelerate Automotive Development (GTC 10)
Igor Juric and Tomislav Bosko – Dok-Ing
http://nvidia.fullviewmedia.com/gtc2010/0921-d-2304.html

Real-time Visualization of Medical Images (ISC 2011)
Massimo Bernaschi – University La Sapienza
http://www.nvidia.com/content/PDF/isc-2011/Bernaschi.pdf

NEW: Aptina Imaging is looking for talented software engineers to join the imaging solutions development team in San Jose, Calif. Required: Experience with GPGPU, OpenCL or CUDA; 3+ years of consumer software development in C++.
See: http://bit.ly/pL7CVN

http://www.gputechconf.com/object/gtc-express-webinar.html

If you are travelling to any of these locations, feel free to drop in. Visitors are welcome.

- United States
New York GPU Meetup – Aug. 22, 6:00 pm
South Florida GPU Meetup – Aug. 29, 6:30 pm (Inaugural meeting!)
Denver/Boulder GPU Meetup – Aug. 29, 6:30 pm
Boston GPU Meetup – Sept. 1, 6:00 pm
New York GPU Meetup – Sept. 8, 6:00 pm (Special meeting)
Silicon Valley GPU Meetup – Sept. 12, 6:15 pm

- Australia
Sydney GPU Meetup – Sept. 15, 6:00 pm

August 2011	back to the top

- NEW: CUDA Optimization (Webinar)

Aug. 23, 2011

Presented by Paulius Micikevicius, NVIDIA

Note: First in a new series of optimization webinars

- NEW: In-Depth CUDA Training (Presented by Acceleware, with Microsoft)

Aug. 30-Sept. 2, 2011, Chicago, Illinois

http://acceleware.com/aug30chicago

September 2011

- Advanced Numerical Methods on GPUs

Mini-symposium at ENUMATH 2011

Sept. 5-9, 2011, Univ. of Leicester, Leicester, UK

http://www2.le.ac.uk/departments/mathematics/research/enumath2011/minisymposia

- Parallel Processing and Applied Mathematics (PPAM 2011)

Sept. 11-14, 2011, Torun, Poland

Note: Scientific Computing with GPUs tutorial, incl. session by Tim Schroeder, NVIDIA

- Geospatial Summit

Sept. 13-14, 2011, Herndon, Virginia

http://www.gputechconf.com/object/gtc-express-webinar.html

- Rapid Problem Solving Using Thrust (Webinar)

Sept. 14, 2011

Presented by Nathan Bell, NVIDIA

Note: Thrust is a library that enables programmers to develop high-performance applications on CUDA with minimal effort.

- CUDA Course (Presented by SagivTech)

Sept. 18-20, 2011, Ramat Gan, Israel

Hands-on sessions and optimization techniques.

http://www.sagivtech.com/24054.html

- CUDA Course (Presented by Tech-X)

Sept. 19-21, Boulder, Colorado

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

- Russian-German HPC School

Sept. 19-30, Novosibirsk

- SPIE Conference on High-Performance Computing in Remote Sensing

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

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

- SEG (Society of Exploration Geophysicists) Annual Meeting

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

(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

– List of CUDA-enabled GPUs: www.nvidia.com/object/cuda_gpus.html

– 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

– 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

– 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

You are receiving this email because you have previously expressed interest in NVIDIA products and technologies. Click here to opt in specifically to CUDA: Week in Review.

Feel free to forward this email to customers, partners and colleagues.

Tygodniowy newsletter “CUDA: Week in Review.” – 12.08.2011

e-on — Fri, 12 Aug 2011 16:32:05 +0000

Fri., August 12, 2011, Issue #59

Click here for online version

WELCOME
Welcome to CUDA: Week in Review, an online news summary for the worldwide CUDA, GPU computing and parallel programming ecosystem.

CUDA SPOTLIGHT
Dr. Denis Bastieri, University of Padua

CUDA TOP STORIES

Forrester on JP Morgan, NVIDIA

New Video: Intro to CUDA

Upcoming CUDA Webinars

New CUDA Courses

CUDA in Academia

CONTENTS

CUDA JOBS

Follow @GPUComputing on Twitter

GPU-Accelerated Astronomy
This week’s Spotlight is on Denis Bastieri of the University of Padua, Italy, and co-founder of Mimesis HPC.

Dr. Bastieri leads the NASA Fermi Large Area Telescope (LAT) team for the National Institute of Nuclear Physics (INFN) in Padua. Here’s a preview of our interview:

NVIDIA: Denis, tell us about the Fermi Space Telescope.

Denis: The Fermi mission is part of NASA’s focus on the theme of “Structure and Evolution of the Universe.” I specifically work with one of the two instruments aboard the Fermi spacecraft — the Large Area Telescope (LAT), which observes gamma rays, the electromagnetic radiation with the highest energy.

NVIDIA: Which organizations are involved in the project?

Denis: Fermi is a joint project between NASA, the U.S. Department of Energy and academic and research institutions across France, Germany, Japan, Italy and Sweden. The spacecraft was built by General Dynamics. Institutions in the LAT collaboration are listed at http://www-glast.stanford.edu/cgi-bin/collab_inst

NVIDIA: What role does NVIDIA technology play?

Denis: Parallel computing is the only viable solution when dealing with many different aspects of astrophysics, and GPUs perform parallel computing at a tenth of the cost of conventional systems. Proof of the momentum behind GPUs can be seen in the exponentially growing number of astrophysics papers with “GPU” listed in the abstract!

NVIDIA: What are the benefits of working with CUDA?

Denis: We started looking at parallel computing on GPUs back during the time of Cg (C for Graphics). The subject looked tantalizing: different textures for positions and velocities and we could model the evolution of a particle population in an external field. The results were quite promising, but Cg was not ideal for astrophysical modeling and we were almost going to dismiss the project entirely.

Then, CUDA was released in late 2006. We found programming in CUDA to be quite straightforward for any good C programmer. Our students demonstrated that they could become independent within a semester.

And now, CUDA 4.0 is even better! We utilize the Thrust algorithms library. We leverage Unified Virtual Address (UVA) to extend GPU memory capabilities. The CURAND library replaced our own version of a random number generator. CUDA allows us to fully exploit the performance of our 16 GPU cluster.

NVIDIA: What’s next in the field of astronomy? What are you most excited about?

Denis: We are gaining more and more confidence in our modeling of the high-energy gamma ray emission of the universe. We understand by now what is the contribution from standard sources: pulsars, known galaxies, etc. But we are not able to explain all the data we collected! Something is missing and we have to understand what. Hints of a new population of gamma-ray emitters? The elusive Dark Matter starting to show up? Quoting Sherlock Holmes: “Whatever remains, however improbable, must be the truth!”

But this is just the “near” future: developing new, fast techniques to analyze data and find the improbable. The real future? We still have to shape it! We want to expand our GPU cluster, hire people, start new projects; in a word, we want to understand what it takes to build next-generation observatories. For a taste of what’s to come, keep an eye on the DARPA/NVIDIA exascale computing project!

- Read the complete interview here

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

Forrester on JP Morgan Chase, NVIDIA

Analyst Rich Fichera of Forrester recently blogged about the use of Tesla GPUs in JP Morgan Chase’s Equity Derivatives Group. The bank’s hybrid GPU/CPU systems achieved a 40X acceleration in risk calculation times combined with a sizable cost savings. Fichera writes: “If you are an I&O professional whose users are demanding extreme computational performance on a constrained space, power and capital budget, you owe it to yourself and your company to evaluate the newest accelerator technology. Your competitors are almost certainly doing so.”
- See: http://bit.ly/qvZ496

New Video: Intro to CUDA
NVIDIA’s Cliff Woolley provides an introduction to CUDA in this new five minute video posted on GPUGenius: http://bit.ly/nK5wKO

Upcoming CUDA Webinars
- NVIDIA’s Justin Luitjens will discuss CUDA Libraries on Tues., Aug. 16, including a live Q&A: http://bit.ly/oGTbH5 (CUDA Registered Developer Series)
- NVIDIA’s Nathan Bell will present “Rapid Problem Solving Using Thrust” on Wed., Sept. 14: http://bit.ly/qaWqLD (GTC Express Series)

New CUDA Courses
- SagivTech is offering a three-day CUDA course on Sept. 18-20 in Ramat Gan, Israel. The class will be conducted in a hands-on computer lab: http://www.sagivtech.com/24054.html
- Tech-X Corporation will present a three-day workshop on GPU computing with CUDA on Sept. 19-21 in Boulder, Colorado: http://www.txcorp.com/products/GPULib/cuda_training/download.php

CUDA in Academia
- Congrats to Francisco Igual, Universitat Jaume I, Spain, on publication     of his Ph.D. thesis on matrix computations and GPUs: http://www3.uji.es/~figual/Tesis/tesis.pdf
- Dr. Manuel Carcenac is teaching a course on CUDA at the European     University of Lefke in North Cyprus: http://bit.ly/qCBJbx
- The Russian-German School on High Performance Computing will hold a     series of courses on Sept. 19-30 in Novosibirsk: http://conf.nsc.ru/hpcschool2011/
- A one-month CUDA programming course is being taught by Ph.D. student Christopher     Cooper at the Universidad Técnica Federico Santa María in Chile: http://bit.ly/oBK54P
- Learn about NVIDIA’s Academic Partnership Program: http://bit.ly/nM1S25

And     the Winners of the NVART Competition Are…,     by Will Park
NVIDIA     Photorealistic Rendering Demo at SIGGRAPH, by Phil     Miller
J.P.     Morgan Achieves 40X Speed-up in Risk Computation,     by George Millington
GPU     Technology Conference: 1000 Strong in Tokyo,     by Victoria Crimmins
An     Inspiring Morning, by Hector Marinez

NEW: Each week we highlight sessions from GTC 2010 and ISC 2011. Here are our picks for this week:

GPU Cluster Computing: Accelerating Scientific Discovery (GTC 10)
John Taylor – CSIRO
http://nvidia.fullviewmedia.com/gtc2010/0923-a2-2301.html

Real-time Visualization of Medical Images (ISC 2011)
Erik Steen – GE Ultrasound
http://www.nvidia.com/content/PDF/isc-2011/Steen.pdf

NEW: Ion Torrent, a subsidiary of Life Technologies in South San Francisco, CA, is seeking an exceptional software engineer with extensive high performance computing experience, one who is highly creative, loves to code, and wants to build and ship software for a disruptive technology. Reference REQ# 5549. See: http://www.iontorrent.com and http://www.lifetechnologies.com/

http://acceleware.com/aug30chicago

If you are travelling to any of these locations, feel free to drop in. Visitors are welcome, especially to the inaugural Meetups in Washington, DC and South Florida.

- United States
Silicon     Valley GPU Meetup – Aug. 15, 6:15 pm
Wash.     DC GPU Meetup – Aug. 18, 5:30 pm (inaugural meeting!)
Austin     GPU Meetup – Aug. 19, 6:00 pm
New     York GPU Meetup – Aug. 22, 6:00 pm
South     Florida GPU Meetup – Aug. 29, 6:30 pm (inaugural     meeting!)
Boston     GPU Meetup – Sept. 1, 6:00 pm
New     York – Special GPU Meetup – Sept. 8, 6:00 pm     (with head of NV
Research)

- Australia
Brisbane GPU Meetup – Aug. 18, 6:00 pm
Sydney GPU Meetup – Sept. 15, 6:00 pm

August 2011	back to the top

- Par Lab Boot Camp (Short Course on Parallel Computing)

Aug. 15-17, 2011, UC Berkeley, Berkeley, California

http://conta.cc/njsSB9

- Proven Algorithmic Techniques for Manycore Processors (Hands-On Course)

Aug. 15-19, 2011 (at multiple locations via videoconferencing)

Note: Sponsored by the Virtual School of Computational Science and Engineering (VSCSE)

www.vscse.org

- NEW: CUDA Libraries (Webinar)

Presented by Justin Luitjens, NVIDIA

Aug. 16, 2011

http://bit.ly/oGTbH5

- NEW: In-Depth CUDA Training (Presented by Acceleware, with Microsoft)

Aug. 30-Sept. 2, 2011, Chicago, Illinois

September 2011

- Advanced Numerical Methods on GPUs

Mini-symposium at ENUMATH 2011

Sept. 5-9, 2011, Univ. of Leicester, Leicester, UK

http://www2.le.ac.uk/departments/mathematics/research/enumath2011/minisymposia

- Parallel Processing and Applied Mathematics (PPAM 2011)

Sept. 11-14, 2011, Torun, Poland

Note: Scientific Computing with GPUs tutorial, incl. session by Tim Schroeder, NVIDIA

- Geospatial Summit

Sept. 13-14, 2011, Herndon, Virginia

http://www.gputechconf.com/object/gtc-express-webinar.html

- Rapid Problem Solving Using Thrust (Webinar)

Sept. 14, 2011

Presented by Nathan Bell, NVIDIA

Note: Thrust is a library that enables programmers to develop high-performance applications on CUDA with minimal effort.

- NEW: CUDA Course (Presented by SagivTech)

Sept. 18-20, 2011, Ramat Gan, Israel

Hands-on sessions and optimization techniques.

http://www.sagivtech.com/24054.html

- NEW: CUDA Course (Presented by Tech-X)

Sept. 19-21, Boulder, Colorado

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

- NEW: Russian-German HPC School

Sept. 19-30, Novosibirsk

- SPIE Conference on High-Performance Computing in Remote Sensing

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

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

- SEG (Society of Exploration Geophysicists) Annual Meeting

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

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

– List of CUDA-enabled GPUs: www.nvidia.com/object/cuda_gpus.html

– 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

– 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

Stanford: New CUDA Center of Excellence

– 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

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Tygodniowy newsletter “CUDA: Week in Review.” – 21.07.2011

e-on — Thu, 21 Jul 2011 16:30:40 +0000

Thurs., July 21, 2011, Issue #58

Click here for online version

WELCOME
Welcome to CUDA: Week in Review, an online news summary for the worldwide CUDA, GPU computing and parallel programming ecosystem.

CUDA SPOTLIGHT
Jesse Rosenzweig, Elemental Technologies

CUDA TOP STORIES

PGI CUDA-x86 Shipping

FastROCS for Drug Discovery

Encryption with CUDA

GPUs at NASA

CONTENTS

CUDA JOBS

Follow @GPUComputing on Twitter



GPU-Accelerated Video Processing This week’s Spotlight is on Jesse Rosenzweig, CTO and co-founder of Elemental Technologies. Jesse spearheads Elemental’s application development, quality assurance and R&D groups. Here’s an extract from our interview:

NVIDIA: Jesse, what is your role at Elemental?

Jesse: I act as the glue between customers, partners, and our engineering, marketing and QA teams. In addition, I lead an R&D team that constantly builds prototypes and scopes out future technologies to integrate into our products. During Elemental’s early days, I wrote video codec CUDA code (although I imagine there aren’t many of my lines left now, given the strength of our CUDA team!).

NVIDIA: How do your products leverage GPU computing?

Jesse: Every pixel of every frame of a video source into our system is decompressed, processed and even recompressed using the GPU and our proprietary video processing pipeline. This allows us to not only get extremely fast high-quality video processing, but also to offload the CPUs to accommodate audio processing, security, content wrapping, database management and content serving while providing a responsive user interface, even during a heavy system load.

NVIDIA: As CTO, why did you choose to work with GPUs?

Jesse: As consumers look to view video on every device imaginable, the demand for video formatting is skyrocketing and scalability is critical. As needed, we can integrate advanced GPUs with more processors and everything will run quicker or process in new, more resource-efficient ways.

NVIDIA: Tell us about Elemental Live.

Jesse: Elemental Live is our solution for processing live video. It allows media companies, such as such as Comcast, Time Warner Cable, Avail-TVN, ABC News, CBS and others, to deliver real-time content (live events, sports, satellite feeds, etc.) to TVs, PCs, tablets and mobile devices using the latest adaptive streaming technologies from Adobe, Apple and Microsoft.

- Read the complete interview here

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

Stanford Named CUDA Center of Excellence

Stanford is now a CUDA Center of Excellence. The Institute for Computational & Mathematical Engineering (ICME) at the School of Engineering will spearhead the program in partnership with other departments, including the Dept. of Computer Science (CS), the Center for Computational Earth and Environmental Sciences (CEES) and the Dept. of Mechanical Engineering, Flow Physics Division.
- See: http://bit.ly/qvNBHE

PGI CUDA-x86 Shipping
PGI is shipping its CUDA C/C++ compiler for x86. PGI CUDA-x86 processes CUDA C and CUDA C++ as a native parallel programming language to run on multi-core x86. With this release, developers can compile and execute a variety of CUDA C and CUDA C++ codes to run on x86 today. A 15-day free trial is available.
- See: www.pgroup.com/cuda-x86

FastROCS for Drug Discovery
FastROCS is now publicly available from OpenEye Scientific Software. FastROCS is an extremely fast 3D molecular shape comparison program running on Tesla GPUs. It was developed in collaboration with industry partners including Abbott Labs and Pfizer.
- See: www.eyesopen.com/fastrocs

Encryption with CUDA
Xoom Data Services announced its CudaCrypt encryption software, which uses the GPU to process large files like video and engineering plans with “military-grade” security. CEO Robert Gagnon says: “We move data from point A to point B and we make sure people can’t steal it in the middle.”
- See: http://www.prweb.com/releases/2011/6/prweb8594876.htm

GPUs at NASA
SC Online reported that simulations of Earth and space phenomena at NASA’s Goddard Space Flight Center are getting a boost from GPUs. Early results demonstrate potential for significant speedups with systems ranging from one to four GPUs in labs, up to a 64-GPU IBM iDataPlex cluster.
- See: http://bit.ly/pjETOh

GPUs in the Geosciences
A session on “High-Resolution Modeling in the Geosciences Using GPU and Many-Core Architectures” will be held at the AGU (American Geophysical Union) meeting in December. Session leaders are Matthew Knepley, Univ. of Chicago; David Yuen, Univ. of Minnesota; and Adam Schultz, Oregon State Univ. Session abstracts are due August 4.
- See: http://sites.agu.org/fallmeeting/scientific-program/session-search/530

GPUs in Military & Embedded Apps
CUDA: Week in Review readers are cordially invited to attend a special webinar on July 26. The presentation will discuss CPU-GPU hardware deployments in military and embedded applications. The moderator is Jeff Child, Editor-In-Chief of COTS Journal. He will be joined by Michael Bowling, President of Trenton Systems and Devang Sachdev of NVIDIA.
- Register: https://www2.gotomeeting.com/register/409656202
- See complete webinar schedule: www.nvidia.com/webinars

Drexel Takes Off to Big     Science Frontiers with GPUs, by Devang Sachdev
Cornell Collaboration     Explores GPU Computing + MATLAB, by David     Lifka, Cornell
Joining Forces with     Beijing Genomics Institute, by Kimberly Powell
CUDA Engineer Takes Busman’s Holiday in Turkey, by Ian     Buck
Fight Global Warming with GPU Computing and C++, by     Olivier Giroux

NEW: Each week we highlight sessions from GTC 2010 and ISC 2011. Here are our picks for this week:

Using CUDA to Accelerate Radar Image Processing (GTC 10)
Aaron Rogan – Neva Ridge Technologies
http://nvidia.fullviewmedia.com/gtc2010/0923-k-2003.html

CUDA Fortran and CUDA Libraries (ISC 2011)
Massimiliano Fatica – NVIDIA
www.nvidia.com/content/PDF/isc-2011/Fatica.pdf

NEW: Pacific Biosciences in Menlo Park, Calif., is seeking a High-Performance Computing Engineer to be responsible for technical strategy development of an HPC environment embedded in a DNA sequencing machine. HPC background and CUDA experience required.
- See: http://bit.ly/q5mYyv

http://www.nv-jp-event.jp/gtc-workshop2011/

If you are travelling to any of these locations, feel free to drop in. Visitors are welcome.
New York Meetup – July 25, 6:00 pm
New Mexico Meetup – July 26, 7:00 pm
Boston Meetup – Aug. 4, 6:00 pm
Silicon Valley Meetup – Aug. 15, 6:15 pm
Wash. DC Meetup – Aug. 18, 4:00 pm (inaugural meeting)
Austin Meetup – Aug. 19, 6:00 pm

July 2011	back to the top

- GTC Workshop Japan

July 22, 2011, Tokyo

Hosted by NVIDIA, with the Tokyo Institute of Technology

- Banking with GPGPUs: Increased Performance, Lowered Costs (Training Workshop)

July 25-27, 2011, London, UK

Note: Taught by experts from Excelian and Cranfield University

Contact: james.heath (at) excelian.com

August 2011

- Banking with GPGPUs: Increased Performance, Lowered Costs (Training Workshop)

Aug. 8-11, 2011, London, UK

Note: Taught by experts from Excelian and Cranfield University

Contact: james.heath (at) excelian.com

- LAMMPS Users’ Workshop

Aug. 9-11, 2011, Albuquerque, New Mexico

Learn more about LAMMPS: http://lammps.sandia.gov/index.html

- NEW: Par Lab Boot Camp (Short Course on Parallel Computing)

Aug. 15-17, 2011, UC Berkeley, Berkeley, California

http://conta.cc/njsSB9

- NEW: Proven Algorithmic Techniques for Manycore Processors (Hands-On Course)

Aug. 15-19, 2011 (at multiple locations via videoconferencing)

Note: Sponsored by the Virtual School of Computational Science and Engineering (VSCSE)

www.vscse.org

September 2011

- Advanced Numerical Methods on GPUs

Mini-symposium at ENUMATH 2011

Sept. 5-9, 2011, Univ. of Leicester, Leicester, UK

http://www2.le.ac.uk/departments/mathematics/research/enumath2011/minisymposia

- Parallel Processing and Applied Mathematics (PPAM 2011)

Sept. 11-14, 2011, Torun, Poland

Note: Scientific Computing with GPUs tutorial, incl. session by Tim Schroeder, NVIDIA

- Geospatial Summit

Sept. 13-14, 2011, Herndon, Virginia

http://www.gputechconf.com/object/gtc-express-webinar.html

- NEW: Rapid Problem Solving Using Thrust (Webinar)

Sept. 14, 2011

Presented by Nathan Bell, NVIDIA

Note: Thrust is a library that enables programmers to develop high-performance applications on CUDA with minimal effort.

- SPIE Conference on High-Performance Computing in Remote Sensing

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

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

- SEG (Society of Exploration Geophysicists) Annual Meeting

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

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

– List of CUDA-enabled GPUs: www.nvidia.com/object/cuda_gpus.html

– 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

– 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