Archiwum dla Sierpień, 2010

Tygodniowy newsletter “CUDA: Week in Review.” – 30.08.2010

Napisany przez e-on w Aktualności dnia 30.08.2010

CUDA: Week in Review

Monday, August 30, 2010, Issue #34
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.
GPU TECHNOLOGY CONFERENCE COUNTDOWN: 20 DAYS!
GTC 2010 Keynote Speakers Announced
GTC 2010 is the place to be in September. Over 240 technical sessions and tutorials will be presented by industry experts and researchers from around the world. And, we are delighted to announce that two very distinguished and exciting computing visionaries will join NVIDIA CEO Jen-Hsun Huang as GTC 2010 keynote speakers:

– Dr. Sebastian Thrun, robotics pioneer at Stanford and distinguished engineer at Google
– Dr. Klaus Schulten, computational biologist, Univ. of Illinois, Urbana-Champaign
GTC 2010 Live Chat with Bill Dally and David Luebke
Leading up to GTC, we are holding a series of live chats with NVIDIA experts. The next live chat will be on Wednesday, September 1 at 11:30 am pacific with Bill Dally, NVIDIA’s Chief Scientist and David Luebke, NVIDIA’s Director of Graphics Research. To participate, go to http://blogs.nvidia.com/ntersect/gtc/
GTC 2010 Online Resources
For more info on keynotes, see: GTC blog post
For session list, see: https://nvidia.confreg.com/gputechconference/schedule/by-session/
To register: www.nvidia.com/gtc (code: GMCUDANEWS10)
CUDA SPOTLIGHT
U.S. Air Force Selects EM Photonics, Univ. of Delaware to Develop GPU Computing Algorithms
EM Photonics and the University of Delaware have been selected by the Air Force Office of Scientific Research (AFOSR) to develop algorithms for scientific computing, modeling and simulation for a multi-GPU environment. The team will utilize the University’s largest supercomputer, code-named “Geronimo,” which was built with NVIDIA CUDA-based Tesla GPU computing technology. See: http://www.udel.edu/udaily/2011/aug/taufer-em-photonics082310.html
CUDA NEWS
GPUs Highlighted at American Chemical Society Meeting
GPU computing was well represented at the ACS meeting this month in Boston:
– A symposium on “Chemical Computations on GPGPUs” was chaired by Dr. Todd Martinez
(Stanford) and Dr. Thom Dunning (National Center for Supercomputing Applications).
– 30+ GPGPU papers were presented.
– Paper topics included acceleration of popular algorithms and codes, such as AMBER,
DL_POLY, Folding@Home, GAMESS, HOOMD, OpenEye ROCS and TERACHEM.
– Ross Walker of the San Diego Supercomputer Center presented his work on MPI-AMBER,
announcing outstanding results and availability in the next few weeks.
– Best GPGPU paper award went to by J.L. Belof and B. Space for “Solving the many-body
field questions of a point induced dipole potential on GPUs.” The authors won a Tesla C2050.
– NVIDIA presenters included Scott LeGrand and Duncan Poole.
CUDA APPS
CUDA Survey
CUDA Users: Please take a few minutes to tell us how you are using CUDA-capable GPUs and how we can better meet your needs.
– https://surveys.nvidia.com/index.jsp?pi=a31edabdb979dd51982f46ac68c6bbc6
CUDA GPUs
For a list of CUDA-enabled GPUs, see: http://www.nvidia.com/object/cuda_gpus.html
CUDA JOB OF THE WEEK
University of Geneva, Switzerland, is offering a one-year programmer position under the supervision of Prof. Bastien Chopard. Principal topic of investigation is the development of Lattice Boltzmann code in CUDA. The position includes close collaboration with teams working on the open-source projects Palabos (http://www.lbmethod.org/palabos) and Sailfish (http://sailfish.us.edu.pl). For further information, contact Dr. Jonas Latt, EPFL Switzerland, jonas.latt@epfl.ch.
CUDA TRAINING
NVIDIA Parallel Nsight Webinars
–  Debugging Massively Parallel Apps with Parallel Nsight 1.0/Microsoft
Visual Studio
Aug. 30, 8:00 pm – https://www2.gotomeeting.com/register/431568810
–  Analyzing/Optimizing Massively Parallel Apps with Parallel Nsight
1.0/Microsoft Visual Studio
Sept. 1, 9:30 am – https://www2.gotomeeting.com/register/809022811
–  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 SagivTech
– Sept. 24, Santa Clara, Calif: http://www.sagivtech.com/36923.html
Training from EMPhotonics
– On-site training programs: http://www.emphotonics.com/services/cuda-training
CUDA Certification
– New certification program for GPU computing developers: www.nvidia.com/certification
CUDA and Academia
– Over 350 universities are teaching CUDA and GPU Computing courses around the world.
– The CUDA Center of Excellence Program recognizes universities expanding the frontier
of parallel computing.
– The CUDA Research Center Program recognizes institutions performing leading-edge
research.
– The CUDA Teaching Center Program recognizes universities providing education and
hands-on instruction.
– The Academic Partnership Program provides support to researchers using GPUs to
solve the world´s most challenging problems.
– Learn more about NVIDIA´s Research and University activities 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
August 2010

– Unconventional High Performance Computing 2010 (UCHPC 2010)

Aug. 31-Sept. 1, Italy
http://www.lrr.in.tum.de/~weidendo/uchpc10/

September 2010

– GPU Technology Conference (GTC) 2010

Sept. 20-23, San Jose, Calif.
http://www.nvidia.com/gtc (register today, space is limited)

– 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/
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
– Supercomputing for the Masses, Part 16: http://is.gd/citaC
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
– 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.
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.” – 23.08.2010

Napisany przez e-on w Aktualności dnia 23.08.2010

CUDA: Week in Review

Monday, August 23, 2010, Issue #33
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
– Register for GPU Technology Conference (Sept. 20-23): http://www.nvidia.com/gtc
(code: GMCUDANEWS10)
GPU TECHNOLOGY CONFERENCE COUNTDOWN: 27 DAYS!
GTC 2010 Update
We have an incredible line-up of technical content for the GPU Technology Conference (GTC 2010), covering many dimensions of the GPU ecosystem. Here’s a sampling of newly-confirmed sessions:

– GPU-Enabled Biomedical Imaging
Homer Pien, Mass General Hospital and Harvard Medical School

– TSUBAME 2.0
Satoshi Matsuoka, Tokyo Institute of Technology

– Domain Specific Languages
Hanspeter Pfister, Harvard University

– Evolution of GPUs for General Purpose Computing
Ian Buck, Software Director, GPU Computing, NVIDIA

For more info, check out our recent GTC blog post. We look forward to seeing you in San Jose!
CUDA SPOTLIGHT
Our World: 2.1 Billion Years Ago
An international team has discovered multi-cellular organisms in Gabon, Africa that are 2.1 billion years old — with assistance from the GPU. This discovery was recently highlighted in Nature. To learn more, we contacted Arnaud Mazurier of ERM in Poitiers, France and Francois Curnier, CEO of Digisens.
NVIDIA: Arnaud, why is this discovery a breakthrough?
Arnaud: The first chapter of the history book on life now needs to be rewritten! This discovery is quite astonishing because the fossils (which are 1-12 centimeters long and look a bit like cookies) reveal that large organisms were growing in a coordinated manner 2.1 billion years ago, rather than ˜600 million years ago as previously thought.
NVIDIA: What are the implications from a scientific perspective?
Arnaud: This discovery can potentially provide scientists with new insight into the planet Earth during that time, including atmospheric and ocean conditions. It causes us to rethink our conclusions about how multi-cellular life first appeared and evolved.
NVIDIA: How did GPU computing play a role?
Arnaud: The use of GPUs (Quadro FX5600, Tesla C870) allowed us to reconstruct data more quickly (in this case, 6-10 minutes with GPUs versus 12-15 hours in the past with CPUs). This gave us precious time to examine more specimens and refine the final virtual reconstruction.
NVIDIA: Who are the key players on the research team?
Arnaud: This is a multidisciplinary project coordinated by Abderrazzak El Albani from the University of Poitiers. In all, 16 institutions and 21 researchers are involved. ERM was in charge of acquisition and virtual 3D reconstructions, using DigiCT software from Digisens.
NVIDIA: Francois, tell us about Digisens.
Francois: We create reconstruction software that transforms 2D projections into 3D volumes. Most people know about this technology through ‘computed tomography’ (CT) scans. An innovative research team at the University of Poitiers was one of our first customers. They were very open-minded about GPU computing back in 2007.
NVIDIA: How does CUDA help you?
Francois: Because we are pushing the capabilities of the GPU to the max, we rely on the CUDA C environment. Moreover, we appreciate being part of the CUDA ecosystem. Our company has a global GPU approach to technology, whether we are introducing algorithms for reducing X-ray dosages or delivering better images for nanotechnology researchers.

For info on Digisens, see: www.digisens.fr. For info on ERM, see: http://www.erm-poitiers.fr.
CUDA NEWS
Georgia Institute of Technology Named CUDA Center of Excellence
Georgia Institute of Technology (Georgia Tech) has been named a CUDA Center of Excellence. Jeffrey Vetter of Georgia Tech and Oak Ridge National Laboratory will serve as principal investigator. Prof. Vetter commented: “Georgia Tech has a long history of education and research that depends heavily on the parallel processing capabilities that NVIDIA has introduced with its CUDA architecture.” See: http://research.nvidia.com/content/cuda-centers-excellence
CUDA APPS
CUDA Survey
CUDA Users: Please take a few minutes to tell us how you are using CUDA-capable GPUs and how we can better meet your needs.
– https://surveys.nvidia.com/index.jsp?pi=a31edabdb979dd51982f46ac68c6bbc6
MATLAB Benchmarks
John Melonakos of Accelereyes recently posted a blog entry comparing Tesla C2050 versus Tesla C1060 on MATLAB apps. He writes: “Double-precision examples on the Fermi-based board outperformed the older board by 50% in every case and better than 2X in many cases.”
– http://blog.accelereyes.com/blog/2010/08/03/tesla_c2050_versus_c1060_matlab_jacket/
CUDA TRAINING
Post-GTC Workshop from SagivTech
SagivTech will hold a one-day workshop on Friday, September 24 at NVIDIA (following GTC) with a focus on CUDA optimization. Discount for GTC attendees. See: http://www.sagivtech.com/36923.html
New Parallel Nsight Webinars
–  Overview of Parallel Nsight 1.0 for Microsoft Visual Studio
Aug. 23, 8:00 pm – https://www2.gotomeeting.com/register/935381498
–  Debugging Massively Parallel Apps with Parallel Nsight 1.0 / Microsoft
Visual Studio
Aug. 25, 9:30 am – https://www2.gotomeeting.com/register/320801507
–  Analyzing and Optimizing Massively Parallel Apps with Parallel Nsight
1.0 / Microsoft Visual Studio
Sept. 1, 9:30 am – https://www2.gotomeeting.com/register/809022811
–  Debugging and Analyzing Graphics Apps with NVIDIA Parallel Nsight
1.0 / Microsoft Visual Studio
Sept. 8, 9:30 am – https://www2.gotomeeting.com/register/436432658
GPU Computing Webinars from NVIDIA
– For info on all upcoming webinars, see: www.nvidia.com/webinars
Training from SagivTech
– CUDA course: Sept. 27-29, San Francisco (following GTC 2010):
http://www.sagivtech.com/36923.html
– GPU Computing@30,000 feet: http://www.sagivtech.com/24054.html
Training from Acceleware
– Sept. 13-17, Calgary: www.acceleware.com/sep13calgary
Training from EMPhotonics
– On-site standard and customized training programs:
http://www.emphotonics.com/services/cuda-training
CUDA Certification
– New certification program for GPU computing developers: www.nvidia.com/certification
CUDA and Academia
– Over 350 universities are teaching CUDA and GPU Computing courses around the world.
– The CUDA Center of Excellence Program recognizes universities expanding the frontier
of parallel computing.
– The CUDA Research Center Program recognizes institutions performing leading-edge
research.
– The CUDA Teaching Center Program recognizes universities providing education and
hands-on instruction.
– The Academic Partnership Program provides support to researchers using GPUs to
solve the world´s most challenging problems.
– Learn more about NVIDIA´s Research and University activities 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
August 2010

– Symposium on Chemical Computations on GPGPUs

Aug. 22-26, Boston
http://illinois.edu/lb/article/2101/36281

– Unconventional High Performance Computing 2010 (UCHPC 2010)

Aug. 31-Sept. 1, Italy
http://www.lrr.in.tum.de/~weidendo/uchpc10/

September 2010

– GPU Technology Conference (GTC) 2010

Sept. 20-23, San Jose, Calif.
http://www.nvidia.com/gtc (register today, space is limited)

– 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
– Supercomputing for the Masses, Part 16: http://is.gd/citaC
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
– 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.” – 02.08.2010

Napisany przez e-on w Aktualności dnia 02.08.2010

CUDA: Week in Review

Monday, August 2, 2010, Issue #32
WELCOME
Welcome to “CUDA: Week in Review,” an online news summary for the worldwide CUDA and GPU Computing community.

– Register for GPU Technology Conference (Sept. 20-23): http://www.nvidia.com/gtc
(code: GMCUDANEWS10)
GPU TECHNOLOGY CONFERENCE COUNTDOWN: 7 WEEKS!
GTC 2010 Update
Newly-confirmed GTC 2010 sessions:

– Accelerating Biologically Inspired Computer Vision Models
Tom Dean, Google

– The Rendering Revolution
Ken Pimentel, Autodesk

– Supercomputing for the Masses: Killer-Apps, Parallel Mappings, Scalability
Rob Farber, Pacific Northwest National Lab
CUDA NEWS
New CUDA Book!
“CUDA By Example” by Jason Sanders and Edward Kandrot has been published by Addison-Wesley Professional. Relevant links:
– Dr. Dobb’s interview: http://www.drdobbs.com/high-performance-computing/226200287
– Sample chapter: www.informit.com/title/0131387685
– Source code: http://developer.nvidia.com/object/cuda-by-example.html
– Amazon: http://www.amazon.com/CUDA-Example-Introduction-General-Purpose-
Programming/dp/0131387685/ref=pd_ts_b_3?ie=UTF8&s=books
– Amazon Kindle: http://www.amazon.com/CUDA-Example-Introduction-General-Purpose-
ebook/dp/B003VYBOSE/ref=tmm_kin_title_0?ie=UTF8&m=AG56TWVU5XWC2
– More CUDA books: http://www.nvidia.com/object/cuda_books.html
Supercomputing for the Masses, Part 19!
Dr. Dobb’s has released the latest installment of Supercomputing for the Masses by Rob Farber – with a focus on NVIDIA Parallel Nsight. Farber writes: “With the release of Parallel Nsight, NVIDIA has made a commitment to the debugging and profiling needs of a huge base of Microsoft Windows developers….”
– Read it here: http://www.drdobbs.com/database/226300200
CUDA APPS
LS-DYNA for Multiphysics Simulation
LS-DYNA is a popular general-purpose finite element multiphysics simulation software package developed by the Livermore Software Technology Corporation (LSTC). Recently LSTC joined in a business and technology collaboration with NVIDIA to develop LS-DYNA for the CUDA-based Tesla platform, with the goal of attaining factors of speedup. LSTC presented and published “The Potential Impact of GPUs on LS-DYNA Implicit Mechanics” at the 11th International LS-DYNA Users Conference in June, and will deliver a talk on “Accelerating LS-DYNA Implicit with MPI, OpenMP and CUDA” at GTC 2010 in September. LS-DYNA is widely used in industries such as automotive, aerospace, consumer goods and others to simulate and predict product design behavior.
– LSTC website: www.lstc.com
– LS-DYNA Users Conference website: http://www.ls-dynaconferences.com/index.htm
– LS-DYNA Users Conference paper: http://is.gd/dX3kK
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 TRAINING
New Parallel Nsight Webinars
This new series of deep-dive webinars will help you learn how Parallel Nsight can speed up development. Topics include debugging of host and CUDA kernels, analysis of complex parallel applications, and graphics debugging and analysis.
Overview of Parallel Nsight 1.0 for Visual Studio
Aug. 20, 9 am – https://www2.gotomeeting.com/register/832771459
Aug. 23, 8 pm – https://www2.gotomeeting.com/register/935381498
Debugging Massively Parallel Apps with Parallel Nsight 1.0 and Microsoft Visual Studio
Aug. 25, 9:30 am – https://www2.gotomeeting.com/register/320801507
Aug. 30, 8 pm – https://www2.gotomeeting.com/register/431568810
Analyzing and Optimizing Massively Parallel Apps with Parallel Nsight 1.0 and Microsoft Visual Studio
Sept. 1, 9:30 am – https://www2.gotomeeting.com/register/809022811
Sept. 6, 8 pm – https://www2.gotomeeting.com/register/943671050
Debugging and Analyzing Graphics Apps with NVIDIA Parallel Nsight 1.0 and Microsoft Visual Studio
Sept. 8, 9:30 am – https://www2.gotomeeting.com/register/436432658
Sept. 13, 8 pm – https://www2.gotomeeting.com/register/827311026
GPU Computing Webinars from NVIDIA
– For info on all upcoming webinars, see: www.nvidia.com/webinars
Training from SagivTech
– CUDA course: Sept. 27-29, San Francisco (following GTC 2010):
http://www.sagivtech.com/36923.html
– GPU Computing@30,000 feet: http://www.sagivtech.com/24054.html
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 Certification
– New certification program for GPU computing developers: www.nvidia.com/certification
CUDA and Academia
– Over 350 universities are teaching CUDA and GPU Computing courses around the world.
– The CUDA Center of Excellence Program recognizes universities expanding the frontier
of parallel computing.
– The CUDA Research Center Program recognizes institutions performing leading-edge
research.
– The CUDA Teaching Center Program recognizes universities providing education and
hands-on instruction.
– The Academic Partnership Program provides support to researchers using GPUs to
solve the world´s most challenging problems.
– Learn more about NVIDIA´s Research and University activities at http://research.nvidia.com/
CUDA CALENDAR
August 2010

– Proven Algorithmic Techniques for Many-Core Processors

Aug. 2-6, Choice of onsite locations, or online
https://hub.vscse.org

– Wolfram Research 2- Mathematica in Finance and Economics

Aug. 4, Chicago
http://www.wolfram.com/events/chicago2010/register.cgi

– GPU Programming for Molecular Modeling

Aug. 6-8, Beckman Inst. for Advanced Science & Tech, UIUC
http://www.ks.uiuc.edu/Training/Workshop/GPU_Aug2010/

– NEW: GPU Computing with CUDA

Aug. 10, Adelaide, South Australia (eResearch SA, XENON, NVIDIA)
http://nvidia.eventbrite.com

– Symposium on Chemical Computations on GPGPUs

Aug. 22-26, Boston
http://illinois.edu/lb/article/2101/36281

– Unconventional High Performance Computing 2010 (UCHPC 2010)

Aug. 31-Sept. 1, Italy
http://www.lrr.in.tum.de/~weidendo/uchpc10/

September 2010

– GPU Technology Conference (GTC) 2010

Sept. 20-23, San Jose, Calif.
http://www.nvidia.com/gtc (register today, space is limited)

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
– Supercomputing for the Masses, Part 16: http://is.gd/citaC
CUDA Books
– 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
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.

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

Brak komentarzy