Archiwum dla Lipiec, 2010

Tygodniowy newsletter “CUDA: Week in Review.” – 26.07.2010

Napisany przez e-on w Aktualności dnia 28.07.2010

CUDA: Week in Review

Tygodniowy newsletter “CUDA: Week in Review.” – 16.07.2010

Napisany przez e-on w Aktualności dnia 28.07.2010

Monday, July 26, 2010, Issue #31
CUDA: Week in Review

Friday, July 16, 2010, Issue #30
WELCOME
Welcome to “CUDA: Week in Review,” an online news summary for the worldwide CUDA and GPU Computing community.
CUDA NEWS
Get CUDA Certified!
NVIDIA has launched a CUDA certification program for GPU computing developers. Initial certification covers CUDA C and the CUDA architecture. For information, see: www.nvidia.com/certification
GTC COUNTDOWN: TEN WEEKS!
GTC Sessions Preview
Every day we’re adding exciting sessions to the GTC agenda. Here’s a sampling of new ones:

– Application of the Fermi GPU to Cancer Detection
Robert Zigon, Beckman Coulter

– Real-Time Digital Video Broadcasting on the GPU
Xu Hongliang, Agilent Technologies

– PyCUDA: Even Simpler GPU Programming with Python
Andreas Kloeckner, Brown University
GTC Live Chat Series, Presented by Adobe
Join us for a Live Chat with Dr. David Kirk on Thurs., July 22: http://blogs.nvidia.com/ntersect/live-chat
GTC Sponsors
NVIDIA thanks the following GTC sponsors: Adobe, Microsoft, HP, Supermicro, PNY, Dell, NextIO, Amax, SGI, Appro, GE Intelligent Platforms, Citi, Dassault Systemes, Cooley and Dr. Dobbs.
CUDA APPS
Adobe Premiere Pro + Media Playback Engine + NVIDIA
NVIDIA’s Joe Stam has written a white paper on Adobe Premiere Pro, MPE and the GPU. Here’s an extract: “Professional video editing demands enormous computational power… Simply manipulating high resolution footage is a laborious task, even with the most powerful workstations…. In the past, users demanding more interactive control or those with high productivity requirements had no choice but to spend tens of thousands of dollars on custom hardware solutions. Adobe Premiere Pro CS5 takes a bold step forward with its new Mercury Playback Engine by leveraging the massive parallel computational power of the GPU. See paper here: http://www.nvidia.com/docs/IO/85230/CUDA_MPE_WP-05380-001_v01.pdf
AccelerEyes Jacket + NVIDIA
The AccelerEyes Jacket software platform for MATLAB now supports NVIDIA’s newest Fermi-based GPUs: the Tesla 20-series and the GeForce GTX 4xx-series. See more: http://www.accelereyes.com/
SEMINARS AND PAPERS
Like math? Wolfram Research is holding a “Mathematica in Finance and Economics” seminar on Wed., Aug. 4 in Chicago. The seminar is free, but space is limited, so register today: http://www.wolfram.com/events/chicago2010/register.cgi
Going to SC10? Submit a paper to the Workshop on High Performance Computational Finance. WHPCF´10 will be held in on Nov. 14 in New Orleans. See: http://research.ihost.com/whpcf
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
GPU Computing Webinars from NVIDIA
– For info on upcoming events, see: www.nvidia.com/webinars
Training from Acceleware
– July 26-30, Cambridge, Mass: www.acceleware.com/jul26cambridge (with Microsoft)
– Aug. 2-6, New York City: www.acceleware.com/aug02newyork (with Microsoft)
– 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
Training from SagivTech
– GPU/Image Processing course: Aug. 2-4, Ra’anana, Israel:
http://www.sagivtech.com/24054.html
– CUDA course: Sept. 27-29, San Francisco (following GTC 2010):
http://www.sagivtech.com/36923.html
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
July 2010

– Parallel Symbolic Computation 2010 (PASCO)

July 21-23, Grenoble, France
http://pasco2010.imag.fr/contest.html

– SIGGRAPH

July 25-29, Los Angeles
http://www.siggraph.org/s2010/

– CUDA Programming on GPUs

July 26-30, University of Oxford, U.K.
http://www.oerc.ox.ac.uk/events/course-on-cuda-programming%202010

August 2010

– Proven Algorithmic Techniques for Many-Core Processors

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

– Virtual School of Comp. Science & Engineering

Aug. 2-6, choice of onsite locations
https://hub.vscse.org

– GPU Programming for Molecular Modeling

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

– 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/

– 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 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
– Supercomputing for the Masses, Part 15: http://is.gd/citnJ
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
NVIDIA Parallel Nsight
– Download the Beta: www.nvidia.com/nsight
– Download the Release Notes: http://bit.ly/9iEYMs
CUDA ON THE WEB
– Check out the NVIDIA Research site: http://research.nvidia.com
– 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
– Watch CUDA on YouTube: http://www.youtube.com/nvidiacuda
– 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.” – 09.07.2010

Napisany przez e-on w Aktualności dnia 28.07.2010

CUDA: Week in Review

Friday, July 9, 2010, Issue #29
WELCOME
Welcome to “CUDA: Week in Review,” an online news summary for the worldwide CUDA and GPU Computing community.

– Register for GPU Technology Conference: http://www.nvidia.com/gtc (code: GMCUDANEWS10)
CUDA SPOTLIGHT
Vivid 3D Ultrasounds with CUDA
This week Siemens Healthcare announced availability of its next-generation 3D/4D ultrasound software which produces realistic, vivid images of a fetus. When we saw Dr. Roee Lazebnik of Siemens demo this at CUDA Day last February, we frankly were amazed by it.

Now that the product (called syngo.fourSight Workplace) is shipping, we contacted Roee, director of product development, for an update. Here’s an excerpt from our interview:
NVIDIA: Roee, congratulations on the release. How does this technology take ultrasound to the next level?
Roee: This is the world’s first commercially-available product for stereoscopic visualization of ultrasound data. It’s a breakthrough because it provides anatomical information that can enable better communication between physicians and patients and aid in pre- and post-natal surgical planning.
NVIDIA: The technology leverages CUDA-based NVIDIA Quadro FX solutions as well as NVIDIA 3D Vision. Why is the 3D functionality important?
Roee: When we interact with volumetric data on a 2D screen, our ability to appreciate anatomical subtleties and depth-based details, such as the curvature of a skeletal feature, is limited. It is much more intuitive to visualize 3D data in stereo.
NVIDIA: The technology is described as “3D/4D.” What does that mean?
Roee: 3D involves visualizing a static volumetric image. The term 4D refers to visualizing dynamic anatomy, such as the moving limbs or facial gestures of the fetus.
NVIDIA: In what other ways could this technology be applied in the future?
Roee: In the human body, everything from the beating heart to the abdomen can be visualized in a volume mode, meaning it can be reconstructed and viewed from any orientation. This technology has many exciting potential benefits both in diagnosis and visual communication of findings.
– See CUDA Day demo on YouTube: http://www.youtube.com/watch?v=ZOGLkl9cFPw
– See VizWorld article: http://www.vizworld.com/2010/07/siemens-syngofoursight-obstetrics/
CUDA APPS
Bunkspeed Launches GPU-Accelerated 3D Rendering Software
Bunkspeed, provider of simplified 3D rendering and animation software, has released Bunkspeed SHOT, an interactive 3D application that brings the power of the GPU to creative professionals. The new version, which acts as a “camera” for 3D data, incorporates innovative iray technology from mental images and runs on NVIDIA Quadro, Tesla and GeForce platforms.

Background: Bunkspeed brought interactive ray tracing (a rendering method that simulates light reflections, refractions and shadows) to the market in 2007 but it was limited to the CPU. The new Bunkspeed SHOT leverages CUDA-based GPUs to dramatically accelerate the user´s workflow. Even the most complex scenes render interactively and in real-time. Bunkspeed also enables users to scale up rendering over multiple machines. A new level of performance and realism is now achievable at less than 20% of the cost of the same level on multiple CPUs.

“As a user of the previous generation software from Bunkspeed, I knew the standard set at the time was tough to beat. Bunkspeed SHOT offers breakthrough usability, performance and quality, and is a pleasure to use…. I am rendering at speeds unimagined just a couple of years ago….” – Peter Crowther, UK-based, computer graphic artist and illustrator
– For more info, see www.bunkspeed.com/SHOT and www.mentalimages.com/iray
– See VizWorld article: http://www.vizworld.com/2010/06/bunkspeed-shot-3d-photorealistic-rendering-simplified/
CUDA RECOMMENDED READING
Kudos for CUDA
Author: Dr. Vincent Natoli, President and Founder, Stone Ridge Technology
Publication: HPCwire
Extract:”It’s been almost three years since GPU computing broke into the mainstream of HPC with the introduction of NVIDIA’s CUDA API in September 2007. Adoption of the technology since then has proceeded at a surprisingly strong and steady pace. Many organizations that began with small pilot projects a year or two ago have moved on to enterprise deployment, and GPU accelerated machines are now represented on the TOP500 list starting at position two.” See: http://www.hpcwire.com/features/Kudos-for-CUDA-97889444.html
GPU TECHNOLOGY CONFERENCE COUNTDOWN: ELEVEN WEEKS!
GTC Live Chat Series, Presented by Adobe
To hear about some of the topics that will be presented at GTC, check out the GTC Live Chat Series starting Tuesday, July 13 on the NVIDIA blog. Our first guest is the inventor of the Brook project and CUDA – Ian Buck, software director of GPU Computing at NVIDIA. Ian will preview his GTC talk and take questions on the future of CUDA and GPU computing. NVIDIA is pleased to welcome Adobe as the sponsor of the GTC Live Chat Series.
– Log in July 13 at 11 a.m. pacific at: http://blogs.nvidia.com/ntersect/live-chat
– Register for GTC today at: www.nvidia.com/gtc
CUDA DOWNLOADS
CUDA Toolkit
– 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 Webinar from O’Reilly! GPU Supercomputing for Finance
– July 15, 1:30 p.m. pacific
– Learn about GPUs, CUDA and Wall Street
– Presented by Andrew Sheppard
– Sign up here: http://www.oreillynet.com/pub/e/1675
GPU Computing Webinars from NVIDIA
– For info on upcoming events, see: www.nvidia.com/webinars
Training from Acceleware
– July 26-30, Cambridge, Mass: www.acceleware.com/jul26cambridge (with Microsoft)
– Aug. 2-6, New York City: www.acceleware.com/aug02newyork (with Microsoft)
– 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
SagivTech’s CUDA Course on Image Processing, Following GTC
SagivTech’s new CUDA course will take place Sept. 27-29 in the San Francisco area, following the GPU Technology Conference (http://www.sagivtech.com/36923.html). Other CUDA training courses from SagivTech:
– CUDA course: July 12-14, Ra’anana, Israel
– GPU/Image Processing course: Aug. 2-4, Ra’anana, Israel
– See: http://www.sagivtech.com/24054.html
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
July 2010

– Symposium on Application Accelerators in High-Performance Computing
(SAAHPC 2010)

July 13-15, University of Tennessee at Knoxville
http://saahpc.ncsa.illinois.edu/register

– Parallel Symbolic Computation 2010 (PASCO)

July 21-23, Grenoble, France
http://pasco2010.imag.fr/contest.html

– SIGGRAPH

July 25-29, Los Angeles
http://www.siggraph.org/s2010/

– CUDA Programming on GPUs

July 26-30, University of Oxford, U.K.
http://www.oerc.ox.ac.uk/events/course-on-cuda-programming%202010

August 2010

– Proven Algorithmic Techniques for Many-Core Processors

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

– Virtual School of Comp. Science & Engineering

Aug. 2-6, choice of onsite locations
https://hub.vscse.org

– GPU Programming for Molecular Modeling

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

– 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/

– 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 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
– Supercomputing for the Masses, Part 15: http://is.gd/citnJ
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
NVIDIA Parallel Nsight
– Download the Beta: www.nvidia.com/nsight
– Download the Release Notes: http://bit.ly/9iEYMs
CUDA ON THE WEB
– Check out the NVIDIA Research site: http://research.nvidia.com
– 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
– Watch CUDA on YouTube: http://www.youtube.com/nvidiacuda
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.” – 02.07.2010

Napisany przez e-on w Aktualności dnia 28.07.2010

CUDA: Week in Review

Friday, July 2, 2010, Issue #28
WELCOME
Welcome to “CUDA: Week in Review,” an online news summary for the worldwide CUDA and GPU Computing community.
CUDA NEWS
GPUs Boost Supercomputers’ Energy Efficiency
The Green500 List of the world’s most energy-efficient supercomputers was published this week. Agam Shah of PCWorld writes: “Supercomputers that mix CPUs with graphics processors made their mark on the Green500 list….Two of the top eight green supercomputers are new entrants from China, and combine graphics processors from NVIDIA with Intel’s CPUs.” Read Agam’s article here: http://www.pcworld.com/businesscenter/article/200309/gpus_boost_
supercomputers_energy_efficiency.html
Hot off the Press: GPU Technology Conference – Sessions Preview
The GTC team has identified a preliminary list of sessions to be presented in September. While we are still reviewing all the submissions, here are a few confirmed presentations to whet your appetite:

– Bridging GPU Computing and Neuroscience to Build Large-Scale Face Recognition on
Facebook
Nicolas Pinto, PhD Student, MIT

– Using GPUs to Follow the Sun’s Latest Moves
Mark Cheung, Sr. Physicist, Lockheed Martin Solar & Astrophysics Lab

– Shockingly Fast and Accurate CFD Simulations
Timothy Warburton, Associate Professor, Rice University

– Banking on Monte Carlo… and Beyond
Dr. Ian Reid, Numerical Algorithms Group

– WebGL: Bringing 3D to the Web
Vladimir Vukicevic, Principal Engineer, Mozilla Corporation
More GTC Info
GTC 2010 sponsors include Adobe, HP, Microsoft, Supermicro, PNY, Dell, Cooley, Synnex, Next IO, GE Intelligent Platforms, AMAX, SGI, Appro and Sutter Hill Ventures, and media partner Dr. Dobbs.
– Register for GTC today as space is limited (code: GMCUDANEWS10)
– For list of sessions, see the GTC agenda page
– Join the GTC Facebook fan page and GTC email update list
CUDA APPS
GPUs and Science
Researchers gathered this week at the University of Pittsburgh’s Center for Simulation and Modeling for a symposium on GPUs in chemistry and materials science. Here they discussed state-of-the-art GPU-enabled applications such as AMBER, VMD, Q-CHEM and Terachem. Dr. Ross Walker of the San Diego Supercomputer Center reviewed the native capabilities of AMBER 11 utilizing GPUs. Dr. Scott Le Grand of NVIDIA gave a presentation on AMBER + MPI performance developments. A related event, the American Chemical Society meeting, will take place on Aug. 22-26 in Boston. For information on NVIDIA and biochemical research, see: http://www.nvidia.com/object/tesla_bio_workbench.html.
CUDA ZONE
New on CUDA Zone: Software Transactional Memory for GPUs
Authors: Daniel Cederman, Philippas Tsigas, Muhammad Tayyab Chaudhry; Chalmers University of Technology, Sweden
Application Domain: Programming Tools
Extract: “Software Transactional Memory (STM) allows you to write sequential code that is executed concurrently without using locks. This greatly simplifies the implementation of parallel programs. The simplicity, however, comes at the price of performance. With this work we try to shed some light on the performance price of STMs on CUDA…. The behavior of STMs when the contention to shared data is low might be acceptable. But when the contention is high, it is better to try to design the program to be data parallel, which is where CUDA excels, and/or to use lock-free data structures.” See: http://is.gd/daArr
CUDA Zone: Have a CUDA-related app or paper? Let us know when you post it on CUDA Zone and we’ll send you a CUDA t-shirt!
CUDA JOB OF THE WEEK
Distinct, a consultancy and outsourcing provider, uses advanced data modeling techniques to improve operational performance and create growth. Clients include banking, insurance and healthcare companies in Ireland and the U.K. The prospective role will involve development of Distinct’s analytical platform using GPU-based architectures. Requirements include experience in GPU programming, architectures and in particular, CUDA. Contact Louise.Walsh@distinctpartners.com.
CUDA EDUCATION
Microsoft Launches DirectCompute Lecture Series
Microsoft launched a series of lectures focused on DirectCompute. A component of DirectX, DirectCompute is Microsoft’s GPGPU programming solution for Windows. Videos of the lectures are posted online.

– Robert Hess of Microsoft hosts a roundtable with thought leaders, including Eric Young
of NVIDIA
http://channel9.msdn.com/posts/gclassy/DirectCompute-Expert-Roundtable-Discussion/

– James Fung of NVIDIA speaks on “DirectCompute GPU Optimizations and Performance”
http://channel9.msdn.com/posts/gclassy/DirectCompute-Lecture-Series-210-GPU-
Optimizations-and-Performance/

– More info: http://blogs.msdn.com/b/seealso/archive/tags/directcompute+lecture+series/
GPU Computing Webinars (CUDA C, OpenCL, Parallel Nsight and more…)
NVIDIA’s webinars are increasingly popular in the GPU computing community and represent a great way to get up to speed quickly. Here are several coming up in July:

– Intro to OpenCL Application Development with gDEBugger
Tuesday, July 6, 9:00 a.m. pacific

– Rapid Prototyping and Visualization with OpenCL Studio
Wednesday, July 7, 9:00 a.m. pacific

– Monitoring and Mapping GPU Clusters with Bright Cluster Manager
(Presented by CEO and Founder of Bright Computing, Dr. Matthijs van Leeuwen)
Thursday, July 8, 9:00 a.m. pacific
CUDA and Academia
– Over 350 universities are teaching CUDA and GPU Computing courses.
– The CUDA Center of Excellence (CCOE) Program recognizes universities expanding the
frontier of parallel computing.
CUDA TRAINING
SagivTech Announces CUDA Course on Image Processing, Following GTC
SagivTech’s new CUDA course will take place Sept. 27-29 in the San Francisco area, following the GPU Technology Conference. This course is for CUDA developers looking for optimization for image processing on NVIDIA GPUs. Course instructors are Micha Feigin Almon, an experienced developer, mathematician and image processing specialist and Dr. Chen Sagiv, an applied mathematician and expert in image processing algorithms. This is a convenient option for GTC attendees. See http://www.sagivtech.com/36923.html

– Other CUDA training courses from SagivTech:

CUDA course: July 12-14, Ra’anana, Israel
GPU/Image Processing course: Aug. 2-4, Ra’anana, Israel
See: http://www.sagivtech.com/24054.html
CUDA training from Acceleware
July 26-30, Cambridge, Mass: www.acceleware.com/jul26cambridge (with Microsoft)
Aug. 2-6, New York City: www.acceleware.com/aug02newyork (with Microsoft)
Sept. 13-17, Calgary: www.acceleware.com/sep13calgary
CUDA training from EMPhotonics
On-site standard and customized training programs
See: http://www.emphotonics.com/services/cuda-training
CUDA Research and Certification
For info on NVIDIA programs for GPU Computing developers, see:
http://www.nvidia.com/object/io_1275409333119.html
CUDA CALENDAR
July 2010

– Programming and Tuning Massively Parallel Systems

July 5-9, Univ. Politecnica de Catalunya, Spain
http://bcw.ac.upc.edu/

– NVIDIA Bio Workbench and AMBER 11

July 8, Imperial College London
http://www.petapath.com/nvidia/index.php

– Hybrid Cloud Computing with NVIDIA GPUs and ProActive Parallel Suite

July 8, INRIA, University of Nice, Sophia Antipolis, France
http://www-sop.inria.fr/manifestations/cpcc2010/

– Symposium on Application Accelerators in High-Performance Computing
(SAAHPC 2010)

July 13-15, University of Tennessee at Knoxville
http://saahpc.ncsa.illinois.edu/register

– Parallel Symbolic Computation 2010 (PASCO)

July 21-23, Grenoble, France
http://pasco2010.imag.fr/contest.html

– SIGGRAPH

July 25-29, Los Angeles
http://www.siggraph.org/s2010/

– CUDA Programming on GPUs

July 26-30, University of Oxford, U.K.
http://www.oerc.ox.ac.uk/events/course-on-cuda-programming%202010

August 2010

– Proven Algorithmic Techniques for Many-Core Processors

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

– Virtual School of Comp. Science & Engineering

Aug. 2-6, choice of onsite locations
https://hub.vscse.org

– GPU Programming for Molecular Modeling

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

– 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/

– 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 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
– Supercomputing for the Masses, Part 15: http://is.gd/citnJ
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 Toolkit
– Download CUDA 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 Documentation
Download developer guides and documentation: http://developer.nvidia.com/object/gpucomputing.html
NVIDIA Parallel Nsight
– Download the Beta: www.nvidia.com/nsight
– Download the Release Notes: http://bit.ly/9iEYMs
CUDA ON THE WEB
– Check out the NVIDIA Research site: http://research.nvidia.com
– 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
– Watch CUDA on YouTube: http://www.youtube.com/nvidiacuda
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.

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