Archiwum dla Wrzesień, 2010

Tygodniowy newsletter “CUDA: Week in Review.” – 28.09.2010

Napisany przez e-on w Aktualności dnia 28.09.2010

CUDA: Week in Review

Tuesday, Sept. 28, 2010, Issue #37
WELCOME
Welcome to “CUDA: Week in Review,” an online news summary for the worldwide CUDA and GPU Computing community. Previous issues: http://is.gd/cBXbg. Twitter: www.twitter.com/gpucomputing.
GPU TECHNOLOGY CONFERENCE
Thank you to everyone who participated in the GPU Tech Conference (GTC). Attendees came from all corners of the world for a wonderful three days of intense learning and collaboration. We are already looking forward to planning GTC 2011! Stay tuned for the session webcasts, which will be posted soon. Here are links to the keynote presentations, daily highlights and research posters:
GTC 2010 Keynotes
Day 1 – Keynote by Jen-Hsun Huang, NVIDIA
Day 2 – Keynote by Klaus Schulten, University of Illinois
Day 3 – Keynote by Sebastian Thrun, Google, Stanford
GTC 2010 Daily Wrap-Ups
Day 1 – Wrap-Up by Ujesh Desai, NVIDIA
Day 2 – Wrap-Up by Rob Csongor, NVIDIA
Day 3 – Wrap-Up by Dan Vivoli, NVIDIA
GTC 2010 Posters
See list here
CUDA NEWS RECAP FROM GTC
Here’s a partial summary of last week’s announcements, from new GPU computing hardware solutions to software and applications. For more details, see the NVIDIA blog.
CUDA C/C++ Cross Platform News
Platform Support News
Partner News
Emerging Companies News
Ecosystem News
CUDA JOB OF THE WEEK
Join the GPU revolution! NVIDIA is looking for CUDA developers and product marketers. Apply online at http://careers.nvidia.com/pljb/nvidia/nvidiaemployment/applicant/index.jsp or email hr@nvidia.com.
CUDA CALENDAR
– MATLAB Conference 2010

Sept. 30, London
http://www.mathworks.com/company/events/conferences/mc2010/index.html

– Palo Open Conference: Business Intelligence Acceleration with GPUs

Sept. 30-Oct. 1, Frankfurt
http://www.jedox.com/en/community/palo-open/palo-open-overview.html

– NEW: Wolfram Technology Conference

Oct. 13-15, Champaign, Illinois
www.wolfram.com/events/techconf2010

– NEW: MATLAB for Finance and Insurance

Oct. 15, Paris
www.mathworks.fr/company/events/seminars/seminar51797.html

– NEW: Microsoft Technical Computing across Client, Cluster and Cloud (TC3)

Oct. 20, London
This event includes Visual Studio and Parallel Nsight briefings
Register here: http://is.gd/fxLdx; Special invitation code: 437DB9

– NEW: Cray/ HLRS GPU HPC Workshop

Oct. 25, Stuttgart
http://corga.hlrs.de/corga/corga-CrayGPU-2010

– Supercomputing 2010

Nov. 13-19, New Orleans
http://sc10.supercomputing.org/ and http://research.ihost.com/whpcf

– Training from CAPS

Nov. 23-25, Rennes, France
www.caps-entreprise.com

– NEW: SIGGRAPH Asia

Dec. 16-18, Seoul
www.siggraph.org/asia2010

– NEW: Scientific Computing in the Americas: The Challenge of Massive Parallelism

Jan. 3-14, 2011, Valparaiso, Chile
http://www.bu.edu/pasi/

– IEEE International Parallel & Distributed Processing Symposium

May 16-20, 2011, Anchorage
http://www.ipdps.org/

Ongoing

– CUDA Certification: www.nvidia.com/certification
– GPU Computing Webinars: www.nvidia.com/webinars
– Training from EMPhotonics: www.emphotonics.com/services/cuda-training

(To list an event, email: cuda_week_in_review@nvidia.com)
CUDA and Academia
Over 360 universities are teaching CUDA and GPU Computing courses around the world. Academic programs from NVIDIA include:
– CUDA Center of Excellence
– CUDA Research Center
– CUDA Teaching Center
– Academic Partnership
– Learn more at http://research.nvidia.com/
CUDA DOWNLOADS
– Download CUDA Toolkit 3.2: http://bit.ly/aKCENp
– Download OpenCL v1.1 pre-release drivers and SDK code samples (Log in or
apply for an account)
CUDA RESOURCES
CUDA Documentation
– Developer guides and docs: http://developer.nvidia.com/object/gpucomputing.html
CUDA Articles in Dr. Dobb’s
– Supercomputing for the Masses, Part 20: http://is.gd/f9o6o
– Supercomputing for the Masses, Part 19: http://is.gd/dTIXj
– Supercomputing for the Masses, Part 18: http://is.gd/cs6b9
CUDA ON THE WEB
– See list of CUDA-enabled GPUs: http://www.nvidia.com/object/cuda_gpus.html
– Read 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
– Read Kudos for CUDA: http://www.hpcwire.com/features/Kudos-for-CUDA-97889444.html
About CUDA
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
Click here to opt in specifically to CUDA: Week in Review.

Copyright © 2010 NVIDIA Corporation. All rights reserved.
2701 San Tomas Expressway, Santa Clara, CA 95050.

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Tygodniowy newsletter “CUDA: Week in Review.” – 14.09.2010

Napisany przez e-on w Aktualności dnia 14.09.2010

CUDA: Week in Review

Tuesday, Sept. 14, 2010, Issue #36
WELCOME
Welcome to “CUDA: Week in Review,” an online news summary for the worldwide CUDA and GPU Computing community. Follow us on Twitter: www.twitter.com/gpucomputing. See previous issues: http://is.gd/cBXbg
GPU TECHNOLOGY CONFERENCE
T-Minus 6 Days!
Join us at the GPU Technology Conference (GTC 2010), the worldwide epicenter of the GPU computing revolution, on Sept. 20-23 in San Jose, California. Speakers from Adobe, Autodesk, Google, Harvard, Mass General Hospital, Microsoft, Stanford and other organizations will present 280+ hours of technical content and sessions.

Schedule notes:
– Mon., Sept. 20, 1:00-6:00 pm: Pre-conference tutorials
– Tues., Sept. 21, 9:00 am: Keynote by NVIDIA CEO Jen-Hsun Huang
– Tues., Sept. 21 and Wed., Sept. 22, 6:00-8:00 pm: Evening receptions
– Thurs., Sept. 23: Closing party following Dr. Sebastian Thrun’s keynote (featuring special
guest appearance by the NVIDIA band)

More info:
– For topics and session list, see: www.nvidia.com/gtc
– For keynote info, see: GTC blog post
– To register, go to: www.nvidia.com/gtc (code: GMCUDANEWS10)
– To ask about special group rate, contact gtc@nvidia.com
CUDA NEWS
CUDA, Supercomputing for the Masses: Part 20
Dr. Dobb’s published Part 20 of the ever-popular series “CUDA, Supercomputing for the Masses.” See: http://www.drdobbs.com/architecture-and-design/227400145. If you’d like to meet the author of the column, Rob Farber, in person, be sure to attend his talk at GTC 2010 titled “Supercomputing for the Masses: Killer-Apps, Parallel Mappings, Scalability and Application Lifespan,” on Tues., Sept. 21.
New Releases of Parallel Nsight and CUDA Toolkit
NVIDIA today announced new versions of the industry-leading developer tools Parallel Nsight and CUDA Toolkit.
– Parallel Nsight v1.5 includes support for Microsoft Visual Studio 2010, Tesla Compute
Cluster (TCC) debugging and CUDA Toolkit 3.2
– CUDA Toolkit v3.2 includes new math libraries, performance improvements and support
for the new 6GB Tesla and Quadro products
– For an overview of new features, see: http://is.gd/f9hKn
CUDA SPOTLIGHT
CDC: Modeling Hepatitis C Virus Mutations with GPUs
AccelerEyes has posted a case study about R&D by the Centers for Disease Control and Prevention (CDC) related to modeling mutations of the Hepatitis C Virus (HCV) – a major cause of liver disease around the world. By leveraging parallelization, CDC reduced computing time from 40 days to less than one day with NVIDIA Tesla GPUs, Mathworks MATLAB and AccelerEyes Jacket. See: http://www.accelereyes.com/resources/hepatitisc
High-Performance GPU Computing Center at Univ. of Wisconsin
The University of Wisconsin-Madison launched a new HPC center using NVIDIA Tesla. At the heart of the center is a cluster of 5,760 scalar processors split across 24 GPUs. Dan Negrut, the center director, compared the GPUs to a group of jugglers: “This is like 5,760 jugglers split into 24 groups of 240. For them to work together, you have to have some type of protocol and understand who’s passing the sticks – or data – to who, how often and how many.” See: http://www.engr.wisc.edu/news/headlines/2010/Sep13.html
CUDA APPS
CUDA Accelerates Broadcast & Film
At the International Broadcasting Convention in Amsterdam last week, NVIDIA announced that a growing number of companies are leveraging CUDA for broadcast and film, including Adobe, Ambrado, Blackmagic Design, BroadMotion, Cinnafilm, Elemental Technologies, Industrial Light & Magic, Iridas, MainConcept, Microsoft and TDVision.

Jon Peddie, president of Jon Peddie Research, commented: “…CUDA is a remarkable architecture that utilizes the GPU to accelerate processes crucial to film and video production, such as encoding, color compression and effects simulation. We are going to see things we never saw before.” See: http://is.gd/f9rZI
CUDA BOOKS
CUDA on Kindle: Recommended Reading!
CUDA By Example, by Jason Sanders and Edward Kandrot (Addison-Wesley, 2010)
– Buy for Kindle: http://is.gd/f9ogX
Programming Massively Parallel Processors, by David Kirk and Wen-mei Hwu (Morgan Kaufmann, 2010)
– Buy for Kindle: http://is.gd/f9or5
CUDA TRAINING
GPUcomputing.net Forum
– Sept. 15: www.gpucomputing.net (with David Luebke of NVIDIA)
CUDA Certification
– New certification program for GPU computing developers: www.nvidia.com/certification
NVIDIA GPU Computing Webinars
– For info on all upcoming webinars, see: www.nvidia.com/webinars
Training from CAPS
– Nov. 23-25, Rennes, France: www.caps-entreprise.com
Training from EMPhotonics
– On-site training programs: http://www.emphotonics.com/services/cuda-training
CUDA and Academia
Over 360 universities are teaching CUDA and GPU Computing courses around the world. Academic programs from NVIDIA include:
– CUDA Center of Excellence
– CUDA Research Center
– CUDA Teaching Center
– Academic Partnership
– Learn more at http://research.nvidia.com/
CUDA CALENDAR
Next Week

– GPU Technology Conference (GTC) 2010 – Register today, space is limited

Sept. 20-23, San Jose, Calif.
http://www.nvidia.com/gtc

Upcoming

– Palo Open Conference: Business Intelligence Acceleration with GPUs

Sept. 30-Oct. 1, Frankfurt
http://www.jedox.com/en/community/palo-open/palo-open-overview.html

– MATLAB Conference 2010

Sept. 30, Wembley Stadium, London
http://www.mathworks.com/company/events/conferences/mc2010/index.html

– Supercomputing 2010

Nov. 13-19, New Orleans, LA
http://sc10.supercomputing.org/
http://research.ihost.com/whpcf

– IEEE International Parallel & Distributed Processing Symposium

May 16-20, 2011, Anchorage, AL
http://www.ipdps.org/

(To list an event, email: cuda_week_in_review@nvidia.com)
CUDA DOWNLOADS
– Download CUDA Toolkit 3.2: http://bit.ly/aKCENp
– OpenCL v1.1 pre-release drivers and SDK code samples are available to GPU Computing
registered developers. Log in or apply for an account to download.
CUDA RESOURCES
CUDA Articles in Dr. Dobb’s
– Supercomputing for the Masses, Part 20: http://is.gd/f9o6o
– Supercomputing for the Masses, Part 19: http://is.gd/dTIXj
– Supercomputing for the Masses, Part 18: http://is.gd/cs6b9
– Supercomputing for the Masses, Part 17: http://is.gd/cs6eI
CUDA Documentation
– Download developer guides and documentation:
http://developer.nvidia.com/object/gpucomputing.html
CUDA ON THE WEB
– See list of CUDA-enabled GPUs: http://www.nvidia.com/object/cuda_gpus.html
– Read 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
– Read Kudos for CUDA: http://www.hpcwire.com/features/Kudos-for-CUDA-97889444.html
About CUDA
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
Click here to opt in specifically to CUDA: Week in Review.

Copyright © 2010 NVIDIA Corporation. All rights reserved.
2701 San Tomas Expressway, Santa Clara, CA 95050.

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Tygodniowy newsletter “CUDA: Week in Review.” – 07.09.2010

Napisany przez e-on w Aktualności dnia 07.09.2010

CUDA: Week in Review

Tuesday, Sept. 7, 2010, Issue #35
WELCOME
Welcome to “CUDA: Week in Review,” an online news summary for the worldwide CUDA and GPU Computing community. Follow us on Twitter: www.twitter.com/gpucomputing. See previous issues: http://is.gd/cBXbg
GPU TECHNOLOGY CONFERENCE
T-Minus 12 Days!
GTC 2010 is the place to be on September 20-23. What should you expect? Four amazing days of GPU computing sessions, advanced technology tutorials, inspiring keynotes and collaborative networking, right in the heart of Silicon Valley. This is a one-of-a-kind opportunity to meet colleagues, peers, researchers, entrepreneurs and investors from around the world.

Here’s what industry analyst Rob Enderle is saying about it:

“The GPU Technology Conference will have sessions covering advancements in artificial intelligence driven automobiles and robotics, because GPU computing is wonderful for AI. It will have sessions on advances in medical and modeling… and there will be examples of projects ranging from mapping the weather to exploring outer space that wouldn’t have been completed had it not been for the introduction of GPU computing.”

– For the session list, see: www.nvidia.com/gtc
– For keynote info, see: GTC blog post
– To register, go to: www.nvidia.com/gtc (code: GMCUDANEWS10)

Additional GTC info:
– Read VentureBeat’s comments on the GTC Emerging Companies Summit: http://is.gd/eYwzu
– Read the Accelereyes blog highlighting “Jacketized” sessions at GTC: http://is.gd/eYwAH
CUDA SPOTLIGHT
CUDA for the Next Generation
NVIDIA Japan recently held a CUDA class in Tokyo. This event was especially noteworthy because it was for high school students! The participating students had an interest in GPU computing as well as a programming background. The distinguished guest speaker was Professor Takayuki Aoki of Tokyo Tech. The class was taught by Mr. Kei Tagwa of Fixstars. Steve Furney-Howe, Steven Zhang and Masaaki Sawai presented on behalf of NVIDIA.

Professor Aoki commented: “Supercomputers in the future will be powered by GPUs without any doubt… Younger people have already started using GPUs, thus they have a huge advantage.” The class was sponsored by NVIDIA partners Fixstars, Acer, ELSA, Dell, Unitcom, DOSPARA and Mousecomputer.
CUDA NEWS
New CUDA Training from CAPS
CAPS of Rennes, France, is offering a 3-day CUDA training class in late November. Participants will learn about the CUDA C programming model and how to handle multi-GPU applications. The training includes a hands-on lab. See: www.caps-entreprise.com
SciComp Speeds up Monte Carlo with CUDA
SciComp of Austin, Texas, provides scientific computing solutions to the financial markets. Their Monte Carlo GPU code generation capabilities have been extended in the latest release of SciFinance, which supports CUDA 3.0 and the NVIDIA Tesla 20-Series. SciComp reports that “refinements have led to a further 30-50% performance increase in already very fast multi-factor Monte Carlo models.” See SciComp’s latest newsletter: http://www.scicomp.com/news/Newsletter_08_10?=source=nwsl#7
GPUcomputing.net
The gpucomputing.net website is a central site for GPU computing research. The organizers have started a new initiative called GPU Computing Research Forum, which will offer frequent Webex presentations (with live Q&A) from GPU researchers, users and vendors. The first one is on Sept. 15 and features NVIDIA’s David Luebke. If you’re interested in virtually presenting at this Forum (to introduce your lab, your project, call for solutions, etc.), contact Laurie Talkington at talkngtn@ad.uiuc.edu.
CUDA TRAINING
CUDA Certification
– New certification program for GPU computing developers: www.nvidia.com/certification
NVIDIA Parallel Nsight Webinar
– Debugging /Analyzing Graphics Apps with Parallel Nsight 1.0/Microsoft Visual Studio,
Sept. 8, 9:30 am: https://www2.gotomeeting.com/register/436432658
NVIDIA GPU Computing Webinars
– For info on all upcoming webinars, see: www.nvidia.com/webinars
Training from Acceleware
– Sept. 13-17, Calgary: www.acceleware.com/sep13calgary
Training from EMPhotonics
– On-site training programs: http://www.emphotonics.com/services/cuda-training
CUDA and Academia
Over 350 universities are teaching CUDA and GPU Computing courses around the world. Academic programs include:
– CUDA Center of Excellence
– CUDA Research Center
– CUDA Teaching Center
– Academic Partnership
– Learn more at http://research.nvidia.com/
CUDA DOWNLOADS
– Download CUDA 3.1 Toolkit: http://bit.ly/aKCENp
– OpenCL v1.1 pre-release drivers and SDK code samples are available to GPU Computing
registered developers. Log in or apply for an account to download.
CUDA CALENDAR
September 2010

– GPU Technology Conference (GTC) 2010 – Register today, space is limited

Sept. 20-23, San Jose, Calif.
http://www.nvidia.com/gtc

– Palo Open Conference: Business Intelligence Acceleration with GPUs

Sept. 30-Oct. 1, Frankfurt
http://www.jedox.com/en/community/palo-open/palo-open-overview.html

– MATLAB Conference 2010

Sept. 30, Wembley Stadium, London
http://www.mathworks.com/company/events/conferences/mc2010/index.html

Future

– Supercomputing 2010

Nov. 13-19, New Orleans, LA
http://sc10.supercomputing.org/
http://research.ihost.com/whpcf

– IEEE International Parallel & Distributed Processing Symposium

May 16-20, 2011, Anchorage, AL
http://www.ipdps.org/

(To list an event, email: cuda_week_in_review@nvidia.com)
CUDA RESOURCES
CUDA Articles in Dr. Dobb’s
– Supercomputing for the Masses, Part 19: http://is.gd/dTIXj
– Supercomputing for the Masses, Part 18: http://is.gd/cs6b9
– Supercomputing for the Masses, Part 17: http://is.gd/cs6eI
CUDA Books
– CUDA By Example by J. Sanders, E. Kandrot: http://is.gd/eo4pF
– Programming Massively Parallel Processors by D. Kirk, W. Hwu: http://is.gd/7bNYP
– See additional books here: http://www.nvidia.com/object/cuda_books.html
CUDA Documentation
– Download developer guides and documentation:
http://developer.nvidia.com/object/gpucomputing.html
CUDA ON THE WEB
– See list of CUDA-enabled GPUs: http://www.nvidia.com/object/cuda_gpus.html
– Read 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
– Read Kudos for CUDA: http://www.hpcwire.com/features/Kudos-for-CUDA-97889444.html
About CUDA
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
Copyright © 2010 NVIDIA Corporation. All rights reserved. 2701 San Tomas Expressway, Santa Clara, CA 95050.

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