Archiwum dla Listopad, 2010

Tygodniowy newsletter “CUDA: Week in Review.” – 17.11.2010

Napisany przez e-on w Aktualności dnia 17.11.2010

Wed, Nov. 17, 2010, Issue #42

WELCOME

Welcome to CUDA: Week in Review, an online news summary for the worldwide CUDA and GPU computing community.

CONTENTS

CUDA SPOTLIGHT

In the Cloud: On Demand GPU Supercomputing from Amazon EC2
For the first time ever, enterprises and start-ups can access the supercomputing power of NVIDIA GPUs via the cloud – through a new service called Amazon Elastic Compute Cloud (EC2).

Why it matters: Supercomputing is increasingly important for technological innovation in everything from medical research and product design to climate modeling and energy exploration. However, the upfront cost of systems has limited their use, especially at the early stages of a project when people want to try out new ideas. By making GPUs available through Amazon EC2, supercomputing will be available to more innovators earlier in the process.

Peter De Santis, general manager of Amazon EC2, comments: “We’re excited to help our customers access the raw power of GPU technology and look forward to the innovation this will enable.” See Amazon Web Services blog post: http://aws.typepad.com/aws/2010/11/new-ec2-instance-type-the-cluster-gpu-instance.html

CUDA NEWS

CUDA Toolkit 3.2 Delivers up to 300% Performance Improvement
NVIDIA announced the production release of CUDA Toolkit 3.2, which provides significant performance increases, improved math libraries and advanced cluster management features, including an up to 300% performance improvement in the CUDA BLAS library (CUBLAS) – which is eight times faster than the latest Intel MKL (Math Kernel Library).
- CUDA Toolkit 3.2 download: www.nvidia.com/getcuda
- CUDA Toolkit 3.2 webinar (Nov. 23): www2.gotomeeting.com/register/887428835

Mathematica 8 Supports the GPU
Wolfram’s Mathematica 8 harnesses GPU devices for general computations using CUDA. A range of Mathematica 8 GPU-enhanced functions are built-in for areas such as linear algebra, image processing, financial simulation and Fourier transforms.
- Watch the video: www.wolfram.com/mathematica/new-in-8/ (see segment 2:21-3:01)

GPU-Accelerated Statistics in MATLAB with Jacket v1.6
AccelerEyes released version 1.6 of the Jacket GPU programming platform for MATLAB. The new version delivers a new statistics library featuring functions common to life science, defense and financial computing applications.
- See: www.accelereyes.com/products/compare

Supercomputing 2010
Upcoming events at this week’s SC10 conference in New Orleans include:
-    Scaling Hierarchical N-Body Simulations on GPU Clusters, Nov. 18
-    Size Matters: Space/Time Tradeoffs to Improve GPGPU Apps Performance, Nov. 18
-    Optimal Utilization of Heterogeneous Resources for Biomolecular Simulations, Nov. 18
-    Disruptive Technologies for Ubiquitous High Performance Computing, Nov. 19

- For wrap-up of SC10 news and presentations made on the NVIDIA booth,
see: www.nvidia.com/sc10

CUDA CALENDAR

November 2010

– Supercomputing 2010 (SC10)

Nov. 13-19, New Orleans

The NVIDIA GPU Computing Theater at SC10 will feature talks by industry luminaries, scientists and developers. All conference attendees are invited to participate.

www.nvidia.com/sc10

– Paving the Road to Exascale – Mellanox (at SC10)

Nov. 17, 7:00 p.m., New Orleans

http://www.mellanox.com/sc10_event/index.php

– Best-in-Class FSI Solutions (webinar) – ACUSIM

Nov. 18, 5:30 a.m. pacific

http://is.gd/gLglY

– Training from CAPS

Nov. 23-25, Rennes, France

www.caps-entreprise.com

– Improve Time to Debug (webinar) – Allinea Software

Nov. 24-25. Contact: sales@alinea.com

– MATLAB Expo

Nov. 26, Tokyo

http://matlabexpo.com

– Call for Papers – IEEE/ACM Intl. Symposium on Cluster, Cloud and Grid Computing

Papers deadline: Nov. 30

http://www.ics.uci.edu/~ccgrid11/

December 2010

– CUDA and Advanced Image Processing – SagivTech

Dec. 12-14, Ramat Gan, Israel

www.sagivtech.com/24054.html

– UK GPU Computing Conference – Univ. of Cambridge

Dec. 13-14, Cambridge, UK

http://www.many-core.group.cam.ac.uk/ukgpucc2/

– SIGGRAPH Asia

Dec. 16-18, Seoul

www.siggraph.org/asia2010

2011

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

Jan. 3-14, 2011, Valparaiso, Chile

www.bu.edu/pasi

– IEEE International Parallel & Distributed Processing Symposium

May 16-20, 2011, Anchorage

www.ipdps.org

– Intelligent Vehicles Conference – IEEE

June 5-9, 2011, Baden-Baden, Germany

http://www.mrt.uni-karlsruhe.de/iv2011/

– Internat’l. Conference on Computer Systems and Applications

June 27-30, 2011, Sharm El-Sheikh, Egypt

http://aiccsa2011.hpcl.gwu.edu/

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 RESOURCES

GPU Technology Conference

– See presentations and keynotes from GTC 2010: www.nvidia.com/gtc

CUDA GPUs

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

CUDA and Parallel Nsight Overview

– See blog post and video: http://is.gd/gbGen

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)
– Get developer guides and docs: http://developer.nvidia.com/object/gpucomputing.html

CUDA and Academia

– Learn more at http://research.nvidia.com/

CUDA on the Web

– See previous issues of CUDA: Week in Review: http://is.gd/cBXbg
– Follow CUDA & GPU Computing on Twitter: www.twitter.com/gpucomputing
– Network with other developers: www.gpucomputing.net
– Stayed tuned to GPGPU news and events: www.gpgpu.org
– Learn more about CUDA on CUDA Zone: www.nvidia.com/cuda

CUDA Recommended Reading

– Read Kudos for CUDA: www.hpcwire.com/features/Kudos-for-CUDA-97889444.html
– Read Supercomputing for the Masses, Part 20: http://is.gd/f9o6o
– Read CUDA books: http://www.nvidia.com/object/cuda_books.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

Stay in Touch with NVIDIA

	Follow GPU Computing on Twitter
	Become a fan of NVIDIA on Facebook
	See list of NVIDIA online profiles

Click here to opt in specifically to CUDA: Week in Review.

CUDA in the Cloud, New CUDA Toolkit 3.2, Updates from SC10

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Tygodniowy newsletter “CUDA: Week in Review.” – 10.11.2010

Napisany przez e-on w Aktualności dnia 10.11.2010

Wed, Nov. 10, 2010, Issue #41

WELCOME

Welcome to CUDA: Week in Review, an online news summary for the worldwide CUDA and GPU computing community.

CONTENTS

CUDA SPOTLIGHT

At the Intersection of Art and Technology
Visual computing artist Philipp Drieger of Eichstatt, Germany, used CUDA to build a “Two Million Pixel Experiment” exploring a computational approach to art. In the experiment, an original video created by Philipp was mapped into 3D. Here’s an extract of our interview:

NVIDIA: Philipp, what inspired you to do this experiment?

Philipp: As an artist, my deeper inspiration was solely aesthetic. As a visual computing enthusiast, I started with this question: “Is it possible to map an HD video source of two megapixels in 1080p into a 3D space – frame by frame, pixel by pixel – in real-time? “

NVIDIA: What were the challenges?

Philipp: It’s not easy to calculate two million pixels! And, it gets much harder if these pixels are mapped into 3D. Each vertex has to be scaled by the luminance value of the corresponding pixel, which means many millions of calculations per second have to be done.

NVIDIA: What role did CUDA play in your experiment?

Philipp: Each frame is processed in real-time on the GPU using CUDA. This experiment could not have been done without CUDA and the parallel computing capabilities of NVIDIA GPUs.

NVIDIA: What did you learn from it?

Philipp: From a programming perspective, I learned how to create a CUDA application that uses the following libraries in a successful interaction:
1. DirectShow.NET for grabbing single frames of a video source
2. CUDA.NET to access CUDA technology in C#/.NET
3. SlimDX for presenting the results in a DirectX 11 context

NVIDIA: Are you working on other projects using CUDA?

Philipp: I recently implemented CUDA for laying out large-scale graph structures in 3D. This provided dramatic speed-ups, even for very complex graphs. I’m currently developing an ‘interactive visualization system’ that will leverage CUDA for performance optimizations.

NVIDIA: Tell us about your company, noumentalia.de.

Philipp: noumentalia.de is a digital arts company that offers IT services, programming and consulting as well as fine art content creation. Visualcompute.com is a new domain that we set up to showcase the intersection between art and technology, especially GPU-driven real-time applications using CUDA.

To learn more about Philipp’s work, contact him at info@visualcompute.com or visit www.noumentalia.de or www.visualcompute.com. To see the YouTube video, go to: http://www.youtube.com/watch?v=kHhkLyJLLYI

CUDA NEWS

Countdown to SC10
On Nov. 17 at SC10 in New Orleans, NVIDIA chief scientist Bill Dally will deliver a plenary speech titled “GPU Computing: To ExaScale and Beyond.”
- See: www.nvidia.com/sc10

World’s Fastest DX11 GPU
NVIDIA announced a new CUDA-enabled GPU for consumers – GeForce GTX 580, the fastest and quietest GPU in its class. For games that feature tessellation – the key feature of DX11– the 512-core GeForce GTX 580 is up to 160 percent faster than the closest competitive product.
- See: www.nvidia.com

#1 Molecular Graphics Paper
The top most-downloaded paper this week in the Journal of Molecular Graphics and Modeling is “GPU-Accelerated Molecular Modeling Coming of Age” by John Stone, David Hardy, Ivan Ufimtsev and Klaus Schulten (GTC 2010 keynote speaker). Research highlights:

GPUs have become powerful accelerators for molecular modeling applications
GPUs provide better price-performance than traditional computing techniques
GPU clusters consume less space, power and cooling than traditional clusters

- See: http://is.gd/gLsPl

IMPETUS Afea’s Finite Element Code for GPUs
IMPETUS Afea of Norway announced Afea Solver, a non-linear explicit finite element tool. The new GPU-accelerated code can predict deformations of structures exposed to extreme loading conditions. Finite element analysis is widely used in the aeronautical, biomechanical and automotive industries.
- See: www.impetus-afea.com/?p=6

SciComp’s GPU-Accelerated Pricing Software
SciComp enhanced its derivatives pricing software. “The mathematical problems of pricing derivatives are tailor-made for GPU computing,” said Curt Randall of SciComp. “GPUs costs are a small percentage of the cost of a grid solution and offer radical reductions in both footprint and power consumption.”
- See: www.scicomp.com/news/press_releases/pr25.html

Parallel Computing on the Desktop with MATLAB
MathWorks held a webinar this week on how to use the Parallel Computing Toolbox to speed up MATLAB apps on GPU-equipped hardware. The webinar was given by Eric Johnson of MathWorks.
- See: http://is.gd/gQgr0

CUDA CALENDAR

November 2010

– Supercomputing 2010 (SC10)

Nov. 13-19, New Orleans

The NVIDIA GPU Computing Theater at SC10 will feature talks by industry luminaries, scientists and developers. All conference attendees are invited to participate.

www.nvidia.com/sc10

– GPU Programming with CUDA Fortran, CUDA C, PGI Accelerator – PGI (at SC10)

Nov. 15, New Orleans (by Michael Wolfe, PGI)

www.pgroup.com/support/tutorial_outline.htm

– Paving the Road to Exascale – Mellanox (at SC10)

Nov. 17, 7:00 p.m., New Orleans

http://www.mellanox.com/sc10_event/index.php

– Advanced GPU Supercomputing for High-Frequency Trading

Nov. 15-17, New York (by Andrew Sheppard)

http://ajtsheppard.wordpress.com

– Accelerating Matlab with the GPU – SagivTech & Systematics

Nov. 16 & Nov. 17 (two complimentary half-day workshops), Ramat Gan, Israel

www.sagivtech.com/21262.html

– NEW: Best-in-Class FSI Solutions (webinar) – ACUSIM

Nov. 18, 5:30 a.m. pacific

http://is.gd/gLglY

– Training from CAPS

Nov. 23-25, Rennes, France

www.caps-entreprise.com

– Improve Time to Debug (webinar) – Allinea Software

Nov. 24-25. Contact: sales@alinea.com

– MATLAB Expo

Nov. 26, Tokyo

http://matlabexpo.com

– Call for Papers – IEEE/ACM Intl. Symposium on Cluster, Cloud and Grid Computing

Papers deadline: Nov. 30

http://www.ics.uci.edu/~ccgrid11/

December 2010

– CUDA and Advanced Image Processing – SagivTech

Dec. 12-14, Ramat Gan, Israel

www.sagivtech.com/24054.html

– UK GPU Computing Conference – Univ. of Cambridge

Dec. 13-14, Cambridge, UK

http://www.many-core.group.cam.ac.uk/ukgpucc2/

– SIGGRAPH Asia

Dec. 16-18, Seoul

www.siggraph.org/asia2010

2011

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

Jan. 3-14, 2011, Valparaiso, Chile

www.bu.edu/pasi

– IEEE International Parallel & Distributed Processing Symposium

May 16-20, 2011, Anchorage

www.ipdps.org

– NEW: Intelligent Vehicles Conference – IEEE

June 5-9, 2011, Baden-Baden, Germany

http://www.mrt.uni-karlsruhe.de/iv2011/

– NEW: Internat’l. Conference on Computer Systems and Applications

June 27-30, 2011, Sharm El-Sheikh, Egypt

http://aiccsa2011.hpcl.gwu.edu/

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 RESOURCES

GPU Technology Conference

– See presentations and keynotes from GTC 2010: www.nvidia.com/gtc

CUDA GPUs

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

CUDA and Parallel Nsight Overview

– See blog post and video: http://is.gd/gbGen

CUDA Downloads

CUDA and Academia

– Learn more at http://research.nvidia.com/

CUDA on the Web

CUDA Recommended Reading

About CUDA

Stay in Touch with NVIDIA

	Follow GPU Computing on Twitter
	Become a fan of NVIDIA on Facebook
	See list of NVIDIA online profiles

Click here to opt in specifically to CUDA: Week in Review.

German visual computing artist Philipp Drieger experiments with CUDA, To exascale and beyond: NVIDIA’s Bill Dally to speak at SC10 next week in New Orleans, World's fastest DirectX 11 GPU - GeForce GTX 580!

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Tygodniowy newsletter “CUDA: Week in Review.” – 02.11.2010

Napisany przez e-on w Aktualności dnia 02.11.2010

Tuesday, November 2, 2010, Issue #40

WELCOME

Welcome to CUDA: Week in Review, an online news summary for the worldwide CUDA and GPU computing community.

CONTENTS

CUDA SPOTLIGHT

Visual Effects in “Salt” Boosted by CUDA and CS5 Premiere Pro
Speed is critical when you’re a secret agent on the run, as demonstrated by Angelina Jolie in Sony Pictures’ summer thriller Salt. Speed also played a key role in the creation of visual effects for the movie, which were executed, in part, by Moscow-based visual effects company Tikibot, using NVIDIA Quadro, CUDA and Adobe CS5 Premiere Pro.

Speaking on the importance of creating believable effects like explosions and fire, Tikibot founder Kevin Jackson said: “Our work was designed not to stand out, but to keep the audience’s attention on the most important part of the movie – the story. “Jackson added:”… the CUDA acceleration made quick effects and smooth video playback a snap…. Premiere Pro CS5 and NVIDIA’s CUDA proved to be a winning combination.”

Tikibot is currently in production on its next CUDA-charged projects: a FIFA World Cup feature and a new collaboration with Angelina Jolie – in her directorial debut of a Bosnian war love story. Read more at: http://www.nvidia.com/object/salt.html

CUDA NEWS

Tesla GPUs Power World’s Fastest Supercomputer
Tianhe-1A, the new supercomputer revealed at HPC 2010 China, set a new performance record of 2.507 petaflops, making it the fastest system in the world. For more info, read blog post by Andy Walsh, NVIDIA’s director of Tesla products: http://blogs.nvidia.com/ntersect/2010/10/tesla-gpus-power-1-supercomputer.html. (Note: Petaflops is a measure of a computer’s processing speed, equal to a quadrillion (thousand trillion) floating point operations per second.)

Hours of In-Depth GTC 2010 Content Now Available Online
GTC 2010 featured an astounding 280+ technical sessions on topics from black holes to face recognition. NVIDIA is offering complimentary unrestricted access to this valuable content in the form of streaming videos and PDFs.
- See: www.nvidia.com/gtc

NVIDIA Experts Publish New Paper on “Throughput-Oriented Architectures”
Michael Garland and David B. Kirk of NVIDIA have written a paper about the growing prominence of throughput-oriented microprocessor architectures. The paper concludes that “the ideal system is… heterogeneous, where a latency-oriented processor (such as a CPU) and a throughput-oriented processor (such as a GPU) work in tandem to address the heterogeneous workloads presented to them.”
- See: http://is.gd/gt0o3

CUDA – COUNTDOWN TO SC10

At SC10, a premier supercomputing industry conference, NVIDIA will run a GPU Computing Theater on Nov. 16-18. Featured topics/speakers on Nov. 16 include:

High Performance Molecular Simulation, Visualization and Analysis

John Stone, University of Illinois at Urbana-Champaign

Large-Scale GPU Computing of Multi-Phase Flow

Wei Ge, Institute of Process Engineering, Chinese Academy of Sciences

Supercomputing for the Masses

Robert Farber, Pacific Northwest National Laboratory

Keeneland – An NSF Heterogeneous Computing Resource

Jeffrey Vetter, Oakridge National Laboratory/Georgia Tech

Large Scale Distributed GPU Isosurfacing

Paul Navratil, Texas Advanced Computing Center

- See schedule:
http://www.nvidia.com/docs/IO/100133/SC10_Theater_Schedule_for_Web_11_1_10.pdf

CUDA CALENDAR

November 2010

– Develop Linear Algebra Software for GPUs (webinar) – GPUComputing.net

Nov. 3, 10:00 a.m. central

Presented by: Dr. Jack Dongarra, University of Tennessee

http://www.gpucomputing.net/?q=node/2441

– Analytics & Risk Technology in Finance – Wolfram Research

Nov. 4, London

http://www.wolfram.com/events/finance2010/details.html

– NEW: Beginner CUDA Course – SagivTech

Nov. 7-9, Ramat Gan, Israel

www.sagivtech.com/24054.html

– Debugging GPUs (webinar) – Allinea Software

Nov. 10

Contact: sales@alinea.com

– Supercomputing 2010 (SC10)

Nov. 13-19, New Orleans

The NVIDIA GPU Computing Theater at SC10 will feature talks by industry luminaries, scientists and developers. All conference attendees are invited to participate.

www.nvidia.com/object/sc10.html

– GPU Programming with CUDA Fortran, CUDA C, PGI Accelerator – PGI (at SC10)

Nov. 15, New Orleans (by Michael Wolfe, PGI)

www.pgroup.com/support/tutorial_outline.htm

– NEW: Paving the Road to Exascale – Mellanox (at SC10)

Nov. 17, 7:00 p.m., New Orleans

http://www.mellanox.com/sc10_event/index.php

– Advanced GPU Supercomputing for High-Frequency Trading

Nov. 15-17, New York (by Andrew Sheppard)

http://ajtsheppard.wordpress.com

– NEW: Accelerating Matlab with the GPU – SagivTech & Systematics

Nov. 16 & Nov. 17 (two complimentary half-day workshops), Ramat Gan, Israel

www.sagivtech.com/21262.html

– Training from CAPS

Nov. 23-25, Rennes, France

www.caps-entreprise.com

– Improve Time to Debug (webinar) – Allinea Software

Nov. 24-25

Contact: sales@alinea.com

– MATLAB Expo

Nov. 26, Tokyo

http://matlabexpo.com

– Call for Papers – IEEE/ACM Intl. Symposium on Cluster, Cloud and Grid Computing

Papers deadline: Nov. 30

http://www.ics.uci.edu/~ccgrid11/

December 2010

– CUDA and Advanced Image Processing – SagivTech

Dec. 12-14, Ramat Gan, Israel

www.sagivtech.com/24054.html

– NEW: UK GPU Computing Conference – Univ. of Cambridge

Dec. 13-14, Cambridge, UK

http://www.many-core.group.cam.ac.uk/ukgpucc2/

– SIGGRAPH Asia

Dec. 16-18, Seoul

www.siggraph.org/asia2010

2011

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

Jan. 3-14, 2011, Valparaiso, Chile

www.bu.edu/pasi

– IEEE International Parallel & Distributed Processing Symposium

May 16-20, 2011, Anchorage

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 RESOURCES

GPU Technology Conference

– See presentations and keynotes from GTC 2010: www.nvidia.com/gtc

CUDA GPUs

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

CUDA and Parallel Nsight Overview

– See blog post and video: http://is.gd/gbGen

CUDA Downloads

CUDA and Academia

– Learn more at http://research.nvidia.com/

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
– Read Supercomputing for the Masses, Part 20: http://is.gd/f9o6o

About CUDA

Stay in Touch with NVIDIA

	Become a fan of NVIDIA on Facebook
	Follow GPU Computing on Twitter
	See list of NVIDIA online profiles

Click here to opt in specifically to CUDA: Week in Review.

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