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Dr. Natoli is a computational physicist with 20 years of experience in high performance computing. Previous roles include senior physicist at ExxonMobil Corporation and Technical Director at High Performance Technologies Inc. (HPTi). Here’s a preview of our interview:

NVIDIA: Vincent, tell us a bit about Stone Ridge Technology.

Vincent: Stone Ridge provides products and services to the HPC market. I had the idea for the company back in 2002 and started it full time in 2005. I wanted to build a company that solves difficult problems in science and engineering on leading edge hardware platforms. It’s the border between science and computing which I love.

NVIDIA: What services do you provide?

Vincent: Most of our customers are in the oil and gas industry. We port, optimize and develop from scratch high performance technical codes for some of the biggest corporations in the world.

NVIDIA: What advice do you have for developers considering GPU computing?

Vincent: I would say that if performance is important to you then GPU computing is well worth a try. Take a look at CUDA Zone to find a code similar to your own to see what kind of performance you can expect from the GPU. Profile your code and try porting the most significant hotspot first. The potential gain is well worth a few weeks of investigation. Along the way you will learn a lot about your code.

- Read the complete interview here

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

Microsoft and NVIDIA Host C++ GPU Computing Event

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Silicon Valley engineers met at NVIDIA’s headquarters this week to learn about C++ technologies in heterogeneous environments (CPU + GPU). The evening kicked off with a talk by luminary Herb Sutter, chief architect for Windows C++ at Microsoft, speaking about plans to take advantage of GPU acceleration with C++ AMP. NVIDIA experts (Justin Luitjens, Jared Hoberock, Stephen Jones) provided an overview of GPU computing and CUDA to developers from Cisco, eBay, Facebook, Google, MTV, Visa and other companies.

- Read the blog post here.

Quantum Chromodynamics and CUDA C
A recent story in “International Science Grid This Week” points out that researchers worldwide have access to a growing library of quantum chromodynamics (QCD) software ported to run on GPUs. “Lattice QCD is in many ways ideal for GPUs, since the bulk of QCD computations can be broken down into many parallel independent calculations…,” said Mike Clark, a physicist at Harvard.

Microway     Wins Best New Technology Award
Microway, a Tesla Preferred Partner, won the Best New Technology award at     the Life Sciences Technology Insight Summit in Boston. Microway’s Tesla-based     solutions are delivered fully integrated with CUDA and     Linux or Windows. At the Summit, two Microway customers presented their     work:
- Dr. Preston Moore of the University of the Sciences in     Philadelphia discussed GPUs and the
physicochemical properties of biological membranes.
- Dr. John Wolfgang of Mass General Hospital spoke about     GPU-based radiotherapy visualization
for cancer patient treatment.

Russia Accelerates Scientific Innovation with GPU Supercomputers
Moscow State University is upgrading its Lomonosov system with Tesla GPUs to be one of the world’s fastest supercomputers. The upgraded system couples 1,554 NVIDIA Tesla X2070 GPUs with the same number of quad-core CPUs, to deliver an expected 1.3 petaflops of peak performance.

CST Adds New HPC Capabilities
Computer Simulation Technology (CST) announced CST MICROWAVE STUDIO v2011 SP3, with support for Tesla GPUs. CST MWS enables fast analysis of high frequency devices such as antennas, allowing shorter development cycles and virtual prototyping.

MATLAB Updates
MATLAB made the prerelease of MATLAB R2011b available to existing MATLAB Parallel Computing Toolbox licensees, adding a host of new GPU features. A new MATLAB-related post on the Accelereyes blog discusses “Chan-Vese Active Contours on the GPU.” Active Contours are mathematical models that enable detection of objects within images.

ISC 2011 Content Available for Download
Visit the NVIDIA ISC event page to download presentations from the show including the industry briefing on GPU computing and the CUDA tutorial.

Publications from NVIDIA
Check out the new CUDA 4.0 Library Performance Overview and white paper on Sparse Triangular Linear Systems.

Supercomputing ‘Energy Wall’ – NVIDIA Helps Scale It     – By Sumit Gupta
ISC 2011: Europe Flexes Its GPU Supercomputing     Muscles – By Andy Walsh
CUDA Now Available For Multiple x86 Processors     – By Sumit Gupta
Microsoft Going All-in On GPU Computing     – By Sanford Russell

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NEW: Each week we highlight sessions from GTC 2010 and SC10. Here are our picks for this week:

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State of the Art in GPU Data-Parallel Algorithm Primitives (GTC 10)
Mark Harris – NVIDIA
http://nvidia.fullviewmedia.com/gtc2010/0921-a5-2084.html (streaming)

Large-Scale GPU Computing of Multi-Phase Flow (SC10)
Wei Ge – Institute of Process Engineering, Chinese Academy of Sciences
www.nvidia.com/content/PDF/sc_2010/theater/Ge_SC10.pdf

NEW: Varian Medical Systems in Palo Alto, Calif., is seeking a graduate student intern with CUDA programming experience. Familiarity with CBCT (cone beam computed tomography) reconstruction algorithms is required.
- See: www.varian.com/us/corporate/careers/

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If you are travelling to any of these cities, feel free to     drop in. Visitors are welcome.
Boston Meetup     – July 7, 6:00 pm
Austin Meetup     – July 18, 6:00 pm
Silicon Valley     Meetup – July 18, 6:15 pm
Australian Tele-Meetup     – July 21, 4:00 pm
New York Meetup     – July 28, 6:00 pm

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Join us on July 12 for a special webinar on CUDA Global Memory Usage and Strategy, followed by a live Q&A session. In the webinar, Justin Luitjens of NVIDIA will describe the CUDA Memory Model, focusing on global memory and strategies to leverage available bandwidth. Other upcoming webinars include CUDA Shared Memory and Cache (July 19) and CUDA Warps and Occupancy Considerations (July 26).
- See schedule here: www.nvidia.com/webinars

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- NEW: Parallel Nsight and Microsoft Visual Studio Webinar

July 5, 2011 (in Russian)

http://blogs.msdn.com/b/rudevnews/archive/2011/06/23/gpu-visual-studio.aspx

- CUDA GPU Programming Workshop

July 2-3, 2011 Berlin, Germany

http://cuda.eventbrite.com/

- 2011 World Congress on Engineering (WCE 2011)

July 6-8, 2011, London, England

http://www.iaeng.org/WCE2011/ICPDC2011.html

- Lattice 2011 Conference

July 11-16, 2011, Lake Tahoe, California

https://latt11.llnl.gov/

- NEW: CUDA Global Memory Usage and Strategy Webinar

July 12, 2011, 10:00 am pacific

https://www2.gotomeeting.com/register/768504595

- Genetic and Evolutionary Computation Conference (GECCO)

July 12-16, 2011 Dublin, Ireland

www.sigevo.org/gecco-2011/index.html

- World Congress in C.S., Computer Engineering, Applied Computing (WORLDCOMP’11)

July 18-21, 2011, Las Vegas, Nevada

www.world-academy-of-science.org/worldcomp11/ws

- Application Accelerators in High Performance Computing (SAAHPC 2011)

July 19-21, 2011, Univ. of Tennessee, Knoxville, Tennessee

http://illinois.edu/lb/article/2100/45663

- GTC Workshop Japan

July 22, 2011, Tokyo

Hosted by NVIDIA, with the Tokyo Institute of Technology

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

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

July 25-27, 2011, London, UK

Note: Taught by experts from Excelian and Cranfield University

Contact: james.heath (at) excelian.com

Aug. – Sept. 2011

- LAMMPS Users’ Workshop

Aug. 9-1, 2011, Albuquerque, New Mexico

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

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

August 8-11, 2011, London, UK

Note: Taught by experts from Excelian and Cranfield University

Contact: james.heath (at) excelian.com

- Advanced Numerical Methods on GPUs

Mini-symposium at ENUMATH 2011

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

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

- Parallel Processing and Applied Mathematics (PPAM 2011)

Sept. 11-14, 2011, Torun, Poland

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

http://ppam.pl/tutorials/21

- Geospatial Summit

Sept. 13-14, 2011, Herndon, Virginia

http://cfp.foseinstitute.org/gis2011

- SPIE Conference on High-Performance Computing in Remote Sensing

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

http://spie.org/rs11

- SEG (Society of Exploration Geophysicists) Annual Meeting

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

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

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

Downloads	back to the top
– CUDA 4.0: www.nvidia.com/getcuda – Parallel Nsight: http://developer.nvidia.com/nvidia-parallel-nsight
Webinars
– CUDA: http://developer.nvidia.com/gpu-computing-webinars – Parallel Nsight: http://developer.nvidia.com/developer-webinars

CUDA Registered Developer Program

– Sign up: www.nvidia.com/paralleldeveloper

CUDA GPUs

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

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
– Check out the NVIDIA Research page: www.nvidia.com/research

CUDA Recommended Reading

– Future of Computing Performance: http://bit.ly/hYqH2H
– Supercomputing for the Masses, Part 21: http://is.gd/Fj56gf
– CUDA books: http://www.nvidia.com/object/cuda_books.html

CUDA Recommended Viewing

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

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

– SC10 presentations: www.nvidia.com/object/sc10_theater.html

CUDA is NVIDIA’s parallel computing hardware architecture. NVIDIA provides a complete toolkit for programming on the CUDA architecture, supporting standard computing languages such as C, C++ and Fortran as well as APIs such as OpenCL and DirectCompute. Send comments and suggestions to: cuda_week_in_review@nvidia.com

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

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

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Tygodniowy newsletter “CUDA: Week in Review.” – 09.06.2011

Napisany przez e-on w Aktualności dnia 09.06.2011

Thurs., June 9, 2011, Issue #56

Click here for online version

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

CUDA SPOTLIGHT
Dr. Axel Kohlmeyer, Temple University

CUDA TOP STORIES

Sharpen Your Skills This Summer

GPU Acceleration: Easier than Ever

Supermicro’s New SuperServers

LIBJACKET v1.0 from AccelerEyes

EmPro 2011.07 from Agilent

CONTENTS

CUDA SPOTLIGHT

CUDA DEVELOPER NEWS

REPLAYS OF THE WEEK

CUDA JOBS

GPU MEETUPS

CUDA CALENDAR

CUDA RESOURCES

Follow @GPUComputing on Twitter

GPU-Accelerated Discovery
This week’s spotlight is on Dr. Axel Kohlmeyer, an expert in high-performance computing with a focus on molecular dynamics (MD) and visualization.

Dr. Kohlmeyer is associate director of the Institute for Computational Molecular Science and associate professor of research in the College of Science and Technology at Temple University. Here’s an extract of our interview:

NVIDIA: Axel, when did you start using GPUs?

Axel: John Stone of the University of Illinois is to blame for my involvement in GPUs

. Since about 2003 I have become more and more involved with John’s main project, VMD (the molecular visualization program)…. I got started for real with GPUs when I learned about HOOMD (Highly Optimized Object-oriented Many-particle Dynamics), written by Joshua Anderson. It turned out that HOOMD was a good match for a new coarse grain molecular dynamics model that is being developed in our group. Two colleagues and I implemented a few additionally required features into HOOMD and were impressed by the performance of running MD on a GPU.

NVIDIA: What is exciting in molecular dynamics today?

Axel: Advances in processor speed and parallelization (including CUDA) are allowing us to undertake calculations routinely that were ’impossible’ just a short time ago. This has spawned a lot of creativity in studying compound systems, like large bio-molecules embedded into realistic environments such as membranes.

NVIDIA: Temple recently installed a new high-performance computing cluster, based on an NSF grant.

Axel: This is a big win for Temple and a great opportunity in many different ways. Many areas of research are moving towards using high-performance computing tools, thus well-funded and well-supported local facilities are important.

NVIDIA: As computing becomes more powerful, what does the future hold?

Axel: Computing will become much more pervasive and ubiquitous, up to the point where we will often forget that we are using a computer. However, this also presents a huge challenge: where are we going to find people who are capable and motivated enough to develop future technologies? In many ways, we have begun to think that things “just work” and so we have stopped wondering what makes them “tick.”

When I was a child, I loved the feeling of discovery. This is what ultimately drove me to work in an academic environment, where I have the opportunity to discover something new every day and experience the excitement that motivated me as a child. I am concerned that kids these days are missing out on that sense of discovery, the “rush” that you feel when you can suddenly connect the dots and understand what is behind what you see in front of you.

- Read the complete interview here

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

Sharpen Your Skills This Summer

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Here are two new resources to help you enhance your GPU computing knowledge:
- GTC Learning Center (education, news and insight):
www.gputechconf.com/page/gtc-learning-center.html
- CUDA Webinar Series (from basics to deep dives): www.nvidia.com/webinars

GPU     Acceleration: Easier than Ever
CUDA Toolkit 4.0 and Parallel Nsight 2.0 for Visual Studio are now     available to the public, making it easier than ever to accelerate     performance with GPUs.
- CUDA 4.0 features include Unified Virtual Addressing (UVA), Thrust C++     Template Performance
Primitives Libraries and GPUDirect 2.0. Download at www.nvidia.com/getcuda
- Parallel Nsight 2.0 features include full support for Microsoft Visual     Studio 2010, CUDA 4.0.
Download at www.nvidia.com/GetParallelNsight

Supermicro’s New SuperServers
At Computex in Taiwan, Supermicro introduced its latest high-end GPU SuperServers, which pack four GPUs in a 1U form factor and up to six GPUs in a slim 2U. These enterprise servers incorporate advanced energy-efficient components and support CUDA-based Tesla M2050, M2070 and M2090 GPUs.
- See: http://www.supermicro.com/newsroom/pressreleases/2011/press110531_Computex.cfm

LIBJACKET v1.0
AccelerEyes released version 1.0 of LIBJACKET, enabling GPU programmers to achieve better performance. The library is available for C, C++, Fortran and Python.
- See: http://www.accelereyes.com/news/libjacket_1.0

EmPro 2011.07
Agilent Technologies, a leading supplier of electronic design automation (EDA) software, announced a new version of Electromagnetic Professional (EmPro), an electromagnetic modeling and simulation platform. The EmPro Finite Difference Time Domain simulator offers GPU acceleration, resulting in a 6X speedup when using CUDA-based systems.
- See: http://www.agilent.com/about/newsroom/presrel/2011/07jun-em11067.html

CUDA Momentum in Germany
Planning a trip to Germany this summer? Here’s a roundup of CUDA activities     to check out:
1. Frankfurt:     Wolfram Research’s European Tour lands in Frankfurt on June 15.
www.wolfram.com/events/computationalfinance2011
2. Hamburg:     The HP-CAST (HP Consortium for Advanced Scientific and Technical) user
meeting is on June     16-18. Sessions include a talk on Petascale Systems by Jeffrey
Vetter of the Georgia     Inst. of Technology and a GPU Roadmap presentation by
Geoff Ballew of     NVIDIA.
http://h20311.www2.hp.com/HPC/cache/277925-0-0-0-121.html?jumpid=go/hpcast
3. Hamburg:     The International Supercomputing Conference (ISC) takes place June 19-23.
Be sure to tune in to     the debate on “GPUs – Fast Lane on Road to Better Science?”
http://bit.ly/lvtDhz
4. Berlin:     A CUDA workshop will be held July 2-3 for developers who want to learn how
to program and     utilize the GPU using CUDA, hosted by Dr. Kashif Rasul of Freie
Universitat Berlin.
http://cuda.eventbrite.com

CUDA Action in India
- New CUDA Teaching Centers:
C-DAC ACTS, Bangalore
Jaypee University of Information Technology, Shimla

- New Academic Partnership Program members:
Prof. Raja Banerjee from IIT, Hyderabad (focus is on computational fluid dynamics)
Prof. Kirti Sahu from IIT, Hyderabad (focus is on multiphase flow simulations)

New GPGPU Meetup Groups!
- Washington, DC: www.meetup.com/HPC-GPU-Supercomputing-Group-of-Washington-DC/
- Southern Florida: http://www.supercomputinggroup.com/

NEW: Each week we highlight sessions from GTC 2010 and SC10. Here are our picks for this week:

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Using CUDA to Accelerate Radar Image Processing (GTC10)
Aaron Rogan – Neva Ridge Technologies
http://nvidia.fullviewmedia.com/gtc2010/0923-k-2003.html

Keeneland — A Resource for Open Computational Science (SC10)
Jeffrey Vetter – Oak Ridge National Laboratory/Georgia Tech
http://www.nvidia.com/content/PDF/sc_2010/theater/Vetter_SC10.pdf

NEW: Samsung is recruiting CUDA software engineers for a six-month project in Southern California. Requirements: Two+ years of experience in CUDA optimization, C++; BSCS degree; Experience with image/video processing software. Contact: Charles Jo, charles.jo@sisa.samsung.com

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If you are travelling to any of these cities, feel free to drop in.
Austin Meetup — June 24, 6:00 pm
New York Meetup — June 27, 6:00 pm
Boston Meetup — July 7, 6:00 pm
Silicon Valley Meetup — July 18, 6:15 pm
Australian GPU Users Tele-Meetup — July 21, 4:00 pm

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June 2011	back to the top

- NEW: Wolfram Research European Tour

June 14, 2011, Zurich and June 15, 2011, Frankfurt

www.wolfram.com/events/computationalfinance2011

- Internat’l. Supercomputing Conference (ISC)

June 19-23, 2011, Hamburg, Germany, booth #630

Tutorial: HPC with CUDA (June 19): http://bit.ly/eEKn7B
Debate: GPUs – Fast Lane on Road to Better Science? (June 21): http://bit.ly/lvtDhz
http://www.supercomp.de/isc11/

- CUDA/OpenCL Training – Microsoft, Acceleware

June 20-23, 2011, Cambridge, Mass.

http://acceleware.com/boston-jun20

- NEW: GPU Computation Using Mathematica and OpenCL Webinar (S72)

June 24, 2011

http://www.wolfram.com/services/education/seminars/s72.html

- Internat’l. Conference on Computer Systems and Applications

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

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

July 2011

- NEW: CUDA GPU Programming Workshop

July 2-3, 2011, Berlin, Germany

http://cuda.eventbrite.com/

- 2011 World Congress on Engineering (WCE 2011)

July 6-8, 2011, London, England

http://www.iaeng.org/WCE2011/ICPDC2011.html

- NEW: Lattice 2011 Conference

July 11-16, 2011, Lake Tahoe, California

https://latt11.llnl.gov/

- Genetic and Evolutionary Computation Conference (GECCO)

July 12-16, 2011 Dublin, Ireland

www.sigevo.org/gecco-2011/index.html

- World Congress in C.S., Computer Engineering, Applied Computing (WORLDCOMP’11)

July 18-21, 2011, Las Vegas, Nevada

www.world-academy-of-science.org/worldcomp11/ws

- Application Accelerators in High Performance Computing (SAAHPC 2011)

July 19-21, 2011, Univ. of Tennessee, Knoxville, Tennessee

http://illinois.edu/lb/article/2100/45663

- NEW: GTC Workshop Japan

July 22, 2011, Tokyo

Hosted by NVIDIA, with the Tokyo Institute of Technology

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

Aug. – Sept. 2011

- NEW: LAMMPS Users’ Workshop

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

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

- Advanced Numerical Methods on GPUs

Mini-symposium at ENUMATH 2011

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

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

- Parallel Processing and Applied Mathematics (PPAM 2011)

Sept. 11-14, 2011, Torun, Poland

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

http://ppam.pl/tutorials/21

- Geospatial Summit

Sept. 13-14, 2011, Herndon, Virginia

http://cfp.foseinstitute.org/gis2011

- SPIE Conference on High-Performance Computing in Remote Sensing

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

http://spie.org/rs11

- SEG (Society of Exploration Geophysicists) Annual Meeting

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

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

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

Downloads	back to the top
– CUDA 4.0: www.nvidia.com/getcuda – Parallel Nsight: http://developer.nvidia.com/nvidia-parallel-nsight

Webinars

– CUDA: http://developer.nvidia.com/gpu-computing-webinars

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

CUDA Registered Developer Program

– Sign up: www.nvidia.com/paralleldeveloper

CUDA GPUs

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

CUDA on the Web

CUDA Recommended Reading

– Future of Computing Performance: http://bit.ly/hYqH2H
– Supercomputing for the Masses, Part 21: http://is.gd/Fj56gf
– CUDA books: http://www.nvidia.com/object/cuda_books.html

CUDA Recommended Viewing

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

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

– SC10 presentations: www.nvidia.com/object/sc10_theater.html

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

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

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Tygodniowy newsletter “CUDA: Week in Review.” – 18.05.2011

Napisany przez e-on w Aktualności dnia 18.05.2011

Wed., May 18, 2011, Issue #55

Click here for online version

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

CUDA SPOTLIGHT
John Humphrey, EM Photonics

CUDA TOP STORIES

Tesla M2090 Announced

New CUDA Research and Teaching Centers

Wolfram’s 2011 European Tour

Abaqus v6.11 from Dassault Systemes

Platform Symphony v5.1

Gold Medal for NVIDIAN Kirill Garanzha

CONTENTS

CUDA SPOTLIGHT

CUDA DEVELOPER NEWS

REPLAYS OF THE WEEK

CUDA JOBS

GPU MEETUPS

CUDA CALENDAR

CUDA RESOURCES

This week’s Spotlight is on John Humphrey of EM Photonics, a pioneer in GPU computing and developer of the CULA GPU-accelerated linear algebra library. Here’s a preview of our interview:

NVIDIA: John, what is your role at EM Photonics?

John: I oversee the technical work for most of our accelerated computing projects, the majority of which employ GPU technology. I have been working with the GPU for over six years, dating back to the pre-CUDA days.

NVIDIA: One of your current projects is an aircraft carrier landing modeling system for the US Navy. Tell us about it.

John: The Navy has a huge desire for CFD (computational fluid dynamics) modeling for a number of reasons. Foremost among these is to be confident of the safety of both aircraft and pilot. For each vessel and aircraft pair, there are tables describing the difficulty of landings and takeoffs based on a large number of variables, such as light conditions, wind speed and direction, and approach angle….

NVIDIA: What are the main advantages of working with CUDA?

John: CUDA allows for very direct expression of exactly how you want the GPU to perform a given unit of work. Ten years ago I was doing FPGA work, where the great promise was the automatic conversion of high level languages to hardware logic. Needless to say, the huge abstraction meant the result wasn’t good. In the case of CUDA, we have a direct view into the hardware and can express our ideas in a way that the hardware executes directly and efficiently.

- Read the complete interview here

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

Tesla M2090 Announced

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NVIDIA unveiled the Tesla M2090 GPU. Equipped with 512 CUDA parallel processing cores, it delivers 665 gigaflops of peak double-precision performance and 178 GB/sec memory bandwidth. Systems will be available at the end of May from OEMs and system builders, including Appro, ASUS, BULL, HP, IBM, NextIO, SGI, Supermicro and Tyan.
- See: http://www.nvidia.com/object/newsroom.html

New CUDA     Research and Teaching Centers
NVIDIA named 35 new CUDA Research and Teaching Centers across 14 countries.
- CUDA Research Centers utilize GPU computing across multiple fields and     are at the
forefront of innovative scientific research.
- CUDA Teaching Centers integrate GPU computing into their mainstream     computer
programming curriculum.
- See: http://yhoo.it/lqNHhk

Wolfram Research’s     European Tour – June 2011
Wolfram’s Computational Finance Tour will focus on new technologies for     accelerating quantitative analytics. The events are free of charge, but     registration is required.
- Dates: June 6, London; June 7, Paris; June 14, Zurich; June 15, Frankfurt
- Speakers: Dr. Andreas Binder, MathConsult GmbH; Dr. Michael Kelly,     Wolfram;
John Ashley, NVIDIA
- See: www.wolfram.com/events/computationalfinance2011

Abaqus v6.11 from Dassault Systemes
Dassault Systemes announced that the new Abaqus v6.11 release is GPU accelerated. The Abaqus product suite from SIMULIA (a Dassault Systemes brand) leverages Quadro and Tesla GPUs to run computer-aided engineering (CAE) simulations twice as fast as traditional processors.
- See: http://www.simulia.com/products/abaqus_fea

Platform Symphony v5.1
Platform Computing, provider of cluster, grid and cloud management software, announced availability of Platform Symphony, v5.1, which includes support for CUDA. Platform Symphony accelerates a wide variety of parallel applications.
- See: http://bit.ly/gUV0eo

NVIDIAN Wins Gold for GPU Ray Tracing Research
Kirill Garanzha of NVIDIA Moscow was awarded a gold medal by the Russian Academy of Sciences’ Keldysh Institute of Applied Mathematics. Kirill’s research focuses on raytracing of complex scenes on GPUs. His demo was created with a Boeing 777 dataset.
- See: http://www.youtube.com/watch?v=mxx9dyPO0js

Forbes.com on CUDA and GPGPU Momentum
Tom Groenfeldt of Forbes authored an article titled “Supercomputing and High Performance See Growing GPU Adoption.” He writes: “GPUs are moving from video games into high performance computing in a big way since NVIDIA began focusing on software and revised its hardware designs to make them easier to use.”
- See: http://blogs.forbes.com/tomgroenfeldt/

India’s Fastest Supercomputer
The Indian Space Research Organization (ISRO) has built India’s fastest supercomputer. The system uses 400 NVIDIA Tesla C2070 GPUs. Its theoretical peak performance is 220 teraflops while consuming only 150 kilowatts of power.
- See: http://www.isro.org/pressrelease/scripts/pressreleasein.aspx?May02_2011

Meetup Momentum Continues to Grow
New GPU Meetups have formed in Austin, Texas and Melbourne, Australia.
- www.meetup.com/HPC-GPU-Supercomputing-Group-of-Austin/
- www.meetup.com/Melbourne-GPU-Users/

NEW: Each week we highlight sessions from GTC 2010 and SC10. Here are our picks for this week:

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      Research     Posters (GTC 10)
From Ant Colony Optimization (by     Octavian Nitica, Univ. of Delaware) to CUDA-Accelerated
Face Recognition (by Jayadeep Vijayan,     NeST Software)
http://www.nvidia.com/object/research_summit_posters_2010.html

Large Scale Distributed GPU Isosurfacing (SC10)
Paul Navratil – Texas Advanced Computing Center
http://www.nvidia.com/content/PDF/sc_2010/theater/Navratil_SC10.pdf

SpecTIR is hiring a software engineer based in Reno, Nevada to work with spectral scientists in areas of image processing, data acquisition and command/control interfaces. Requires strong C/C++/VB skills, understanding of Windows/.NET and excellent knowledge of CUDA and parallel programming. Contact: spectir (at) spectir.com. Subject line: Software Engineer.
- See: www.spectir.com

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- Meetup: Brisbane GPU Users
May 19, 2011, 6:00 pm, Brisbane, Australia
http://www.meetup.com/Brisbane-GPU-Users/

- Meetup: HPC & GPU Supercomputing Group of New York
May 23, 2011, 6:00 pm, New York, New York
http://www.meetup.com/HPC-GPU-Supercomputing-Group-of-
New-York/events/16458112/

- Meetup: HPC & GPU Supercomputing Group of Denver/Boulder
May 25, 2011, 7:00 pm, Boulder, Colorado
http://www.meetup.com/HPC-GPU-Supercomputing-Group-of-
Denver-Boulder/

- Meetup: HPC & GPU Supercomputing Group of Boston
June 2, 2011, 6:00 pm, Boston, Mass.
http://www.meetup.com/HPC-GPU-Supercomputing-Group-
of-Boston/events/16953531/

- Meetup: HPC & GPU Supercomputing Group of Silicon Valley
June 6, 2011, 6:15 pm, Mountain View, Calif.
http://www.meetup.com/HPC-GPU-Supercomputing-Group-of-Silicon-Valley/

- Meetup: HPC & GPU Supercomputing Group of New Mexico
June 8, 2011, 6:30 pm, Santa Fe, New Mexico
http://www.meetup.com/HPC-GPU-Supercomputing-Group-of-New
-Mexico/events/17220862/

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May 2011	back to the top

- GPU Computing Overview – Microsoft, Acceleware, NVIDIA

May 19, 2011, 9:00 am-5:00 pm, San Francisco, Calif.

https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032479960&Culture=en-US

- GTC Workshop Taiwan

May 19, 2011, Taipei, Taiwan

Note: Sanford Russell, NVIDIA, to present

http://weekly.ithome.com.tw/seminar/20110519nvidia/in1.html

- GPU Computing Overview – Microsoft, Acceleware, NVIDIA

May 20, 2011, 9:00 am-5:00 pm, Chicago, Ill.

https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032479956&Culture=en-US

- GPGPU Computing for Scientific Applications

May 23-27, 2011, Cordoba, Argentina

Held in FaMAF, National University of Cordoba

Note: Sessions by Robert Strzodka (MPI-Saarbrücken) and Ross Walker (SDSC, CUDA Fellow)

www.famaf.unc.edu.ar/grupos/GPGPU/EscuelaGPGPU2011

- NAFEMS World Congress: Promoting Adoption of HPC for Engineering Simulation

May 23-26, 2011, Boston, Mass.

Note: Session by Stan Posey, NVIDIA, on May 25

http://www.nafems.org/congress

- LS-DYNA 8th European Users Conference

May 23-24, 2011, Strasbourg, France

Note: Paper and talk by Stan Posey and Srinivas Kodiyalam, NVIDIA

http://www.lsdynaeuc.alyotech.fr/

- CUDA/OpenCL Training – Microsoft, Acceleware

May 24-27, 2011, Houston, Tex.

http://acceleware.com/houston-may24

- GPU Technology Summit – Israel

May 30, 2011, Tel Aviv, Israel

Co-sponsored by NVIDIA and Sagivtech

http://sagivtech.com/gpu-technology-summit.htm

- Computer Simulations on GPU – International Symposium

May 30-June 1, 2011, Mainz, Germany

Note: Axel Koehler, NVIDIA, to present

www.cond-mat.physik.uni-mainz.de/~weigel/GPU2011/home/

June 2011

- 25th International Conference on Supercomputing

June 1-4, 2011, Tucson, Ariz.

http://ics11.cs.arizona.edu/

- Intelligent Vehicles Conference – IEEE

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

Note: Session by Jeff Ota, NVIDIA, on Parallel Computing in Intelligent Vehicles

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

- Internat’l. Supercomputing Conference (ISC)

June 19-23, 2011, Hamburg, Germany, booth #630

Tutorial: HPC with CUDA (June 19): http://bit.ly/eEKn7B

Debate: GPUs — Fast Lane on Road to Better Science? (June 21): http://bit.ly/lvtDhz

http://www.supercomp.de/isc11/

- CUDA/OpenCL Training – Microsoft, Acceleware

June 20-23, 2011, Cambridge, Mass.

http://acceleware.com/boston-jun20

- Internat’l. Conference on Computer Systems and Applications

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

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

July – Sept. 2011

- 2011 World Congress on Engineering (WCE 2011)

July 6-8, 2011, London, England

http://www.iaeng.org/WCE2011/ICPDC2011.html

- Genetic and Evolutionary Computation Conference (GECCO)

July 12-16, 2011 Dublin, Ireland

www.sigevo.org/gecco-2011/index.html

- World Congress in C.S., Computer Engineering, Applied Computing (WORLDCOMP’11)

July 18-21, 2011, Las Vegas, Nevada

www.world-academy-of-science.org/worldcomp11/ws

- Application Accelerators in High Performance Computing (SAAHPC 2011)

(Call for papers: May 6)

July 19-21, 2011, Univ. of Tennessee, Knoxville, Tennessee

http://illinois.edu/lb/article/2100/45663

- Advanced Numerical Methods on GPUs

Mini-symposium at ENUMATH 2011

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

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

- Parallel Processing and Applied Mathematics (PPAM 2011)

Sept. 11-14, 2011, Torun, Poland

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

http://ppam.pl/tutorials/21

- Geospatial Summit

Sept. 13-14, 2011, Herndon, Virginia

http://cfp.foseinstitute.org/gis2011

- SPIE Conference on High-Performance Computing in Remote Sensing

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

http://spie.org/rs11

- SEG (Society of Exploration Geophysicists) Annual Meeting

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

(Deadline for abstracts: April 6, 2011)

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

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

CUDA Downloads	back to the top
– Download CUDA: www.nvidia.com/getcuda – Download Parallel Nsight: www.nvidia.com/object/parallel-nsight.html – Download Parallel Nsight webinars: http://developer.nvidia.com/developer-webinars – Get developer guides and docs: http://developer.nvidia.com/object/gpucomputing.html

CUDA Registered Developer Program

– Sign up: www.nvidia.com/paralleldeveloper

CUDA GPUs

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

CUDA Libraries Performance Report

– Download: http://bit.ly/ehR5az

CUDA on the Web

CUDA Recommended Reading

– Future of Computing Performance: http://bit.ly/hYqH2H
– Supercomputing for the Masses, Part 21: http://is.gd/Fj56gf
– CUDA books: http://www.nvidia.com/object/cuda_books.html

CUDA Recommended Viewing

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

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

– SC10 presentations: www.nvidia.com/object/sc10_theater.html

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

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Tygodniowy newsletter “CUDA: Week in Review.” – 22.04.2011

Napisany przez e-on w Aktualności dnia 22.04.2011

Fri., April 22, 2011, Issue #53

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

CUDA TOP STORIES

Tools for Microsurgeons

The Future of Computing Performance

International Exascale Software Project

UGENE Wins Award

HOOMD-Blue v0.9.2

CONTENTS

CUDA SPOTLIGHT

CUDA DEVELOPER NEWS

REPLAYS OF THE WEEK

CUDA JOBS

SEEN ON THE BLOG

FEATURED GPU MEETUPS

CUDA CALENDAR

CUDA RESOURCES

Tools for Microsurgeons

This week’s Spotlight is on Kang Zhang, a PhD candidate in Electrical and Computer Engineering at Johns Hopkins University.

His interests include GPU-accelerated biomedical imaging. Here’s an extract from our interview:

NVIDIA: Kang, what are you working on at Johns Hopkins?
Kang: My current research focuses on interventional Optical Coherence Tomography (OCT) technology for microsurgery.

Conventionally, visualization during microsurgery is realized with a surgical microscope, which limits the surgeon’s field of view and causes limited depth perception of micro-structures and tissue planes beneath the surface. Such issues commonly exist in many kinds of microsurgeries, such as ophthalmic surgery, neurological surgery and otolaryngologic surgery.

OCT is a new imaging modality capable of non-invasive 3D micrometer-resolution imaging, which makes it highly suitable for guiding microsurgery. As part of my PhD work, I developed an ultra-high-speed, real-time OCT imaging system using a hardware-software platform based on GPU technology.

NVIDIA: What are some advantages of working with CUDA?

Kang: Thanks to CUDA’s great parallel processing ability, we achieved a >20X speedup of OCT image reconstruction and demonstrated the first GPU-based real-time 4D (3D + time) OCT system.

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

Kang: More GPUs will be embedded in existing computer systems as compact, cost-effective and green supercomputing engines.

- Read the complete interview here

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

The Future of Computing Performance: Game Over or Next Level?

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A new report by the National Research Council concludes that “the end of dramatic exponential growth in single-processor performance marks the end of the dominance of the single microprocessor in computing. The era of sequential computing must give way to a new era in which parallelism is at the forefront.”
- See: http://bit.ly/hYqH2H

International Exascale Software Project
The goal of IESP is develop a plan for producing a new software infrastructure capable of supporting exascale applications. The most recent meeting was held on Apr. 6-7 in San Francisco.
- See: http://bit.ly/huWMlE

UGENE Wins Award
UniPro7’s UGENE won an award for the “Efficient Use of GPU Accelerators to Solve Large Problems,” sponsored by T-Platforms. UGENE is a free cross-platform genome analysis suite optimized by GPUs.
- See: http://ugene.unipro.ru/index.html

HOOMD-Blue v0.9.2
HOOMD-Blue performs general-purpose particle dynamics simulations on a single workstation, taking advantage of GPUs to attain better performance. New release supports CUDA 4.0.
- See: http://gpgpu.org/2011/04/06/hoomd-blue-0-9-2

PGI 2011 v11.4
New release supports GPU-related features, including expanded support for libm math routines.
- See: http://www.pgroup.com/support/new_rel.htm

Reminders
- CUDA Toolkit 4.0 RC2 is publicly available: http://developer.nvidia.com/cuda-downloads
- GTC 2011 Call for Submissions is open until May 3: www.nvidia.com/object/call_for_submissions.html

NEW: Each week we highlight sessions from GTC 2010 and SC10. Here are our picks for this week:

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Fast GPU Preconditioning for Fluid Simulations in Film Production (GTC 10)
Dan Bailey – Double Negative
http://www.nvidia.com/content/GTC-2010/pdfs/2239_GTC2010.pdf

CFD, GPU Implementation of Weather Prediction Code on TSUBAME (SC10)
Takayuki Aoki – Tokyo Tech
http://www.nvidia.com/content/PDF/sc_2010/theater/Aoki_SC10.pdf

Sony Computer Entertainment seeks a GPGPU programmer to develop next-generation game audio, signal processing and compute solutions. Experience in real-time audio signal processing and coding, software synthesis, embedded systems a plus.
- See: http://playstation.taleo.net/careersection/sceaexternal1/jobdetail.ftl?lang=en&job=17882

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NVIDIA’s Kimberly Powell blogged this week about BioIT World:

“The BioIT World Expo took place in Boston last week. The event brings together approximately 2000 life sciences, pharmaceutical, clinical, healthcare, and IT professionals from around 30 countries to share information and discuss the technologies that are driving biomedical research and drug development.

The bioscience community is tasked with perhaps some of life’s biggest challenges, from drug discovery to developing an overall better understanding of the human body. In these quests, computation is a researcher’s most important tool, enabling them to run larger and more accurate simulations as well as test a wider range and variety of laboratory-style scenarios.

These two worlds converge in the field of bio-IT, and it is in this field where the parallel processing power of NVIDIA GPUs is having a profound effect.”

- Read the full blog post: http://blogs.nvidia.com/2011/04/gpu-powered-best-in-show-winners-celebrate-at-bio-it-world/

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- Meetup: Brisbane GPU Users

April 21, 2011, 6:00 pm, Brisbane, Australia

http://www.meetup.com/Brisbane-GPU-Users/events/17151901/

- Meetup: HPC & GPU Supercomputing Group of New York

April 28, 2011, 6:00 pm, New York, New York

http://www.meetup.com/HPC-GPU-Supercomputing-Group-of-New-York/

- Meetup: HPC & GPU Supercomputing Group of Silicon Valley

May 2, 2011, 6:00 pm, Mountain View, Calif.

http://www.meetup.com/HPC-GPU-Supercomputing-Group-of-Silicon-Valley/

- Meetup: HPC & GPU Supercomputing Group of Boston

May 4, 2011, 6:00 pm, Cambridge, Mass.

http://www.meetup.com/HPC-GPU-Supercomputing-Group-of-Boston/

- NEW: Meetup: HPC & GPU Supercomputing Group of Seattle

May 9, 2011, 5:00 pm, Seattle, Wash.

http://www.meetup.com/HPC-GPU-Supercomputing-Group-of-Seattle/

- NEW: Meetup: Sydney GPU Users

May 12, 2011, 6:00 pm, Sydney, Australia

http://www.meetup.com/Sydney-GPU-Users/events/17127627/

- NEW: Meetup: HPC & GPU Supercomputing Group of New Mexico

June 8, 2011, 6:30 pm, Santa Fe, New Mexico

http://www.meetup.com/HPC-GPU-Supercomputing-Group-of-New-Mexico/events/17220862/

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April 2011	back to the top

- Fluid-Structure Interaction 2011: Workshop on the Advances in Computational Methods

April 27-29, 2011, Singapore

Note: Session by Srinivas Kodiyalam, NVIDIA, on April 29

www.fsi-singapore.com/

May 2011

- CUDA/OpenCL Training – Microsoft, Acceleware

May 2-5, 2011, Calgary, Canada

http://acceleware.com/calgary-may2

- GPU Computing Overview – Microsoft, Acceleware, NVIDIA

May 3, 2011, 9:00 am-5:00 pm, Boston, Mass.

https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032479956&Culture=en-US

- GPU Computing Overview – Microsoft, Acceleware, NVIDIA

May 4, 2011, 9:00 am-5:00 pm, New York, New York

https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032479952&Culture=en-US

- CUDA/OpenCL Training – Microsoft, Acceleware

May 10-13, 2011, Mountain View, Calif.

http://acceleware.com/mountainview-may10

- GTC Workshop Singapore

May 12, 2011, Singapore

Note: The GPU Technology Conference enters South East Asia with this new GTC Workshop. Co-sponsored by NVIDIA and NOVATTE.

http://www.novatte.com/press-room/gtc2011/

- Spring CUDA Training by Tech-X Corporation

May 16-18, 2011, Boulder, Colo.

Note: To be led by Dr. Peter Messmer, Dr. Paul Mullowney and Dr. Michael Galloy

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

- Parallel CFD Conference (ParCFD 2011)

May 16-20, 2011, Barcelona, Spain

Note: Tutorial by Tom Reed, NVIDIA, on May 16

http://parcfd2011.bsc.es/

- Workshop on High Performance Computational Biology – IEEE

May 16, 2011, Anchorage, Alaska

Note: Held with International Parallel & Distributed Processing Symposium

www.hicomb.org/

- NEW: GTC Workshop Taiwan

May 19, 2011, Taipei, Taiwan

Note: Sanford Russell, NVIDIA, to present

http://weekly.ithome.com.tw/seminar/20110519nvidia/in1.html

- GPU Computing Overview – Microsoft, Acceleware, NVIDIA

May 19, 2011, 9:00 am-5:00 pm, San Francisco, Calif.

https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032479960&Culture=en-US

- GPU Computing Overview – Microsoft, Acceleware, NVIDIA

May 20, 2011, 9:00 am-5:00 pm, Chicago, Ill.

https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032479956&Culture=en-US

- GPGPU Computing for Scientific Applications

May 23-27, 2011, Cordoba, Argentina

Held in FaMAF, National University of Cordoba

Note: Sessions by Robert Strzodka (MPI-Saarbrücken) and Ross Walker (SDSC, CUDA Fellow)

www.famaf.unc.edu.ar/grupos/GPGPU/EscuelaGPGPU2011

- NAFEMS World Congress: Promoting Adoption of HPC for Engineering Simulation

May 23-26, 2011, Boston, Mass.

Note: Session by Stan Posey, NVIDIA, on May 25

http://www.nafems.org/congress

- LS-DYNA 8th European Users Conference

May 23-24, 2011, Strasbourg, France

Note: Paper and talk by Stan Posey and Srinivas Kodiyalam, NVIDIA

http://www.lsdynaeuc.alyotech.fr/

- CUDA/OpenCL Training – Microsoft, Acceleware

May 24-27, 2011, Houston, Tex.

http://acceleware.com/houston-may24

- NEW: GPU Technology Summit – Israel

May 30, 2011, Tel Aviv, Israel

http://sagivtech.com/gpu-technology-summit.htm

- Computer Simulations on GPU – International Symposium

May 30-June 1, 2011, Mainz, Germany

Note: Axel Koehler, NVIDIA, to present

www.cond-mat.physik.uni-mainz.de/~weigel/GPU2011/home/

June 2011

- 25th International Conference on Supercomputing

June 1-4, 2011, Tucson, Ariz.

http://ics11.cs.arizona.edu/

- Intelligent Vehicles Conference – IEEE

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

Note: Session by Jeff Ota, NVIDIA, on Parallel Computing in Intelligent Vehicles

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

- Internat’l. Supercomputing Conference (ISC)

June 19-23, 2011, Hamburg, Germany

Note: Visit NVIDIA, booth #630

www.supercomp.de/isc11/Take-Part/Call-for-Papers

- CUDA/OpenCL Training – Microsoft, Acceleware

June 20-23, 2011, Cambridge, Mass.

http://acceleware.com/boston-jun20

- Internat’l. Conference on Computer Systems and Applications

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

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

July – Dec. 2011

- 2011 World Congress on Engineering (WCE 2011)

July 6-8, 2011, London, England

http://www.iaeng.org/WCE2011/ICPDC2011.html

- Genetic and Evolutionary Computation Conference (GECCO)

July 12-16, 2011 Dublin, Ireland

www.sigevo.org/gecco-2011/index.html

- World Congress in C.S., Computer Engineering, Applied Computing (WORLDCOMP’11)

July 18-21, 2011, Las Vegas, Nevada

www.world-academy-of-science.org/worldcomp11/ws

- Application Accelerators in High Performance Computing (SAAHPC 2011)

(Call for papers: May 6)

July 19-21, 2011, Univ. of Tennessee, Knoxville, Tennessee

http://illinois.edu/lb/article/2100/45663

- Advanced Numerical Methods on GPUs

Mini-symposium at ENUMATH 2011

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

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

- Parallel Processing and Applied Mathematics (PPAM 2011)

Sept. 11-14, 2011, Torun, Poland

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

http://ppam.pl/tutorials/21

- Geospatial Summit

Sept. 13-14, 2011, Herndon, Virginia

http://cfp.foseinstitute.org/gis2011

- SPIE Conference on High-Performance Computing in Remote Sensing

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

http://spie.org/rs11

- SEG (Society of Exploration Geophysicists) Annual Meeting

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

(Deadline for abstracts: April 6, 2011)

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

- GPU Technology Conference (GTC 11)

Oct. 11-14, 2011, San Jose, Calif.

www.gputechconf.com

- Innovative Parallel Computing (InPar 2011)

Oct. 10-11, 2011, San Jose, Calif.

Note: Co-located with GPU Technology Conference

http://innovativeparallel.org/

- Los Alamos National Lab’s Accelerated HPC Symposium

Oct. 13-14, 2011, San Jose, Calif.

Note: Co-located with GPU Technology Conference

http://www.lanl.gov/conferences/AHPCS/

- SC11

Nov. 12-18, 2011, Seattle, Wash.

http://sc11.supercomputing.org/?pg=techprogram.html

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

CUDA Downloads	back to the top
– Download CUDA: www.nvidia.com/getcuda – Download Parallel Nsight: www.nvidia.com/object/parallel-nsight.html – Get developer guides and docs: http://developer.nvidia.com/object/gpucomputing.html

CUDA Registered Developer Program

– Sign up: www.nvidia.com/paralleldeveloper

CUDA GPUs

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

CUDA Libraries Performance Report

– Download: http://bit.ly/ehR5az

CUDA on the Web

CUDA Recommended Reading

– Kudos for CUDA: www.hpcwire.com/features/Kudos-for-CUDA-97889444.html
– Supercomputing for the Masses, Part 21: http://is.gd/Fj56gf
– CUDA books: http://www.nvidia.com/object/cuda_books.html

CUDA Recommended Viewing

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

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

– SC10 presentations: www.nvidia.com/object/sc10_theater.html

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

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

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Tygodniowy newsletter “CUDA: Week in Review.” – 13.04.2011

Napisany przez e-on w Aktualności dnia 13.04.2011

Wed., April 13, 2011, Issue #52

Click here for online version

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

CUDA TOP STORIES

GPU Computing at Microway

Update on Keeneland

GPUs and Econophysics

Scobleizer YouTube Video: GPUs for Datacenters

New GPU Computing Overviews and Training

CONTENTS

CUDA SPOTLIGHT

CUDA DEVELOPER NEWS

REPLAYS OF THE WEEK

CUDA JOBS

SEEN ON THE BLOG

CUDA CALENDAR

CUDA RESOURCES

FOLLOW US ONLINE
	Follow @GPUComputing on Twitter
	Become a fan of NVIDIA on Facebook
	See list of NVIDIA online profiles

GPU Computing Momentum at Microway

This week’s Spotlight is on Stephen Fried, founder of Microway and veteran technology inventor. Steve is a former space scientist and FAA flight examiner who can be found on weekends soaring in his sailplane over the Green Mountains of Vermont.We caught up with Steve after learning that BioStack-LS — a CUDA/Tesla-based Microway product — was named “Best of Show” finalist at the Bio-IT World Conference in Boston this week. Here’s an extract from our interview:

Steve Fried in his Schleicher ASH-26 E sailplane

NVIDIA: Steve, tell us about Microway.

Steve: We develop x86-based Linux clusters whose nodes each employ a pair of NVIDIA Tesla GPUs. For the past four years, we’ve been providing customers with well-designed and cooled GPU platforms.

NVIDIA: Where are you seeing the most momentum in GPU computing?

Steve:Applications that manipulate matrices or rely on linear algebra techniques are excellent candidates for a system of parallel GPGPUs.For example, we believe that GPUs are ideal for executing the parallel vector applications that dominate much of the bio-informatics world. This week we are at Bio-IT World demonstrating BioStack-LS. BioStack-LS includes seven GPU compute nodes, each with two Tesla C2070s.

BioStack-LS represents an innovation for the bio-medical community because it’s delivered pre-configured for life sciences software, including AMBER, MATLAB, NAMD and VMD.

NVIDIA: Why are people embracing the CUDA parallel programming model?

Steve: CUDA automatically solves many annoying problems…. It hides the bits and pieces of kernel control, data flow and task synchronization from the user. It reduces the user’s task to writing a single piece of C code that executes on the host, which automatically loads and calls the kernels that are embedded within the CUDA application in the order that they are to be executed….

- Read the complete interview here (Would you like to be in the CUDA Spotlight? Email: cuda_week_in_review@nvidia.com)

Update on Keeneland

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The Keeneland Project is a five-year, $12 million grant awarded by the NSF for creation of an experimental high-performance system. Georgia Tech and its partners, the University of Tennessee at Knoxville and Oak Ridge National Lab, are deploying an HP system powered by Tesla GPUs. A Keeneland Workshop will be held April 14-15 in Atlanta.
- For more info, visit: http://keeneland.gatech.edu/
- Watch Prof. Jeff Vetter speak about Keeneland (SC09): http://is.gd/HuMNEr

GPUs and Econophysics – New Article in European Physical Journal
Tobias Preis has authored an article on GPU computing in econophysics/statistical physics in the European Physical Journal – Special Topics.
- See abstract: http://dx.doi.org/10.1140/epjst/e2011-01398-x
- Contact info: www.tobiaspreis.de Scobleizer YouTube Video: GPUs for Datacenters
Watch tech blogger Robert Scoble interview Jack Levin of ImageShack/YFrog about GPUs, CUDA and datacenters (7 mins).
- See: http://www.youtube.com/watch?v=UPUJUa4XgUs

New GPU Computing Overviews and Training Seminars
Microsoft, Acceleware and NVIDIA will host complimentary “GPU Computing Overviews” next month. Breakfast and lunch will be served.

May 3, Boston

May 4, New York

May 19, San Francisco

May 20, Chicago

In addition, Microsoft and Acceleware are offering 4-day CUDA/OpenCL training courses using Microsoft Visual Studio and NVIDIA Parallel Nsight (early bird and group discounts available).

Reminders
- CUDA Toolkit 4.0 is publicly available: http://developer.nvidia.com/cuda-downloads
- GTC 2011 Call for Submissions is open until May 3: www.nvidia.com/object/call_for_submissions.html

NEW: Each week we highlight sessions from GTC 2010 and SC10. Here are our picks for this week:

back to the top

Using GPUs for Real–Time Brain–Computer Interfaces (GTC10)
Adam Wilson – University of Cincinnati
http://nvidia.fullviewmedia.com/gtc2010/0922-c-2122.html(51 mins) Faster, Cheaper, Better: Biomolecular Sim w/ NAMD, VMD, CUDA (SC10)
John Stone – University of Illinois at Urbana-Champaign
http://www.nvidia.com/content/PDF/sc_2010/theater/Stone_SC10.pdf

The Stockholm Environment Center, University of York, is funding a summer scholarship in biodiversity and conservation research. Aim of project is to develop GPGPU application to interface with R programming language, MATLAB and GNU Octave. Prototype will be tested on NVIDIA-based server.
Dates: July 11-Sept. 16, 2011. Project number: 201107
- Apply: http://www.york.ac.uk/res/yccsa/research/transit/scholarships.html
- More info:

http://www.york.ac.uk/res/yccsa/research/transit/scholarships2011/201107.pdf

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NVIDIA’s Andy Walsh blogged this week about how OpenEye Scientific Software is tackling the challenges of drug discovery:

“A key path to drug discovery over the past decade has been the process of determining “shared bioactivity” between molecules, that is, determining the similarity of one molecule to another based on its three-dimensional shape.There’s always been a catch, though. If you’re a large pharmaceutical company doing research in this area, you probably have a collection of more than a hundred million molecule shapes or conformations. In the rush to find new cures, how do you even begin to get through this much data in a reasonable timeframe, even in a lifetime?

Enter an innovative company called OpenEye Scientific Software, and its revolutionary new application called FastROCS.”

- Read the full blog post: http://blogs.nvidia.com/2011/04/a-molecule-matching-star-is-born/

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Featured GPU Webinars:	back to the top

- Live Q&A on CUDA-gdb and memcheck – Webinar

Wed., April 13, 2011, 10:00-11:00 am pacific

Presented by senior engineering team, NVIDIA

https://www2.gotomeeting.com/register/337468450

- Bright Cluster Manager/Advanced Clusters Made Easy – Webinar

Thurs., April 21, 2011, 9:00-10:00 am pacific

https://www2.gotomeeting.com/register/687856658

Featured GPU Meetups:- Meetup: Brisbane GPU Users

April 21, 2011, 6:00 pm, Brisbane, Australia

http://www.meetup.com/Brisbane-GPU-Users/events/17151901/

- Meetup: HPC & GPU Supercomputing Group of Silicon Valley

May 2, 2011, 6:00 pm, Carnegie Mellon Silicon Valley/NASA, Mountain View, Calif.

http://www.meetup.com/HPC-GPU-Supercomputing-Group-of-Silicon-Valley/

- Meetup: HPC & GPU Supercomputing Group of Boston

May 4, 2011, 6:00 pm, Microsoft NERD Center, Cambridge, Mass.

http://www.meetup.com/HPC-GPU-Supercomputing-Group-of-Boston/

Upcoming Events:

April 2011BIO-IT WORLD 2011

April 12-14, Boston, Mass.

Note: Presentation by Bob Tolbert, OpenEye Scientific Software, April 13

http://www.bio-itworldexpo.com/

NAB 2011

April 11-14, 2011, Las Vegas, Nev.

http://www.nabshow.com/2011/index.asp

Fluid-Structure Interaction 2011: Workshop on the Advances in
Computational Methods

April 27-29, 2011, Singapore

Note: Session by Srinivas Kodiyalam, NVIDIA, on April 29

www.fsi-singapore.com/

May 2011-GPU Computing Overview – Microsoft, Acceleware, NVIDIA

May 3, 2011, 9:00 am-5:00 pm, Boston, Mass.

https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032479956&Culture=en-US

-GPU Computing Overview – Microsoft, Acceleware, NVIDIA

May 4, 2011, 9:00 am-5:00 pm, New York, New York

https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032479952&Culture=en-US

-NEW: GTC Workshop Singapore

May 12, 2011, Singapore

Note: The GPU Technology Conference enters South East Asia with this new GTC Workshop. Co-sponsored by NVIDIA and NOVATTE.

http://www.novatte.com/press-room/gtc2011/

-NEW: Spring CUDA Training by Tech-X Corporation

May 16-18, 2011, Boulder, Colo.

Note: Lead by Dr. Peter Messmer, Dr. Paul Mullowney and Dr. Michael Galloy

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

-Parallel CFD Conference (ParCFD 2011)

May 16-20, 2011, Barcelona, Spain

Note: Tutorial by Tom Reed, NVIDIA, on May 16

http://parcfd2011.bsc.es/

-Workshop on High Performance Computational Biology – IEEE

May 16, 2011, Anchorage, Alaska

Note: Held with International Parallel & Distributed Processing Symposium

www.hicomb.org/

-GPU Computing Overview – Microsoft, Acceleware, NVIDIA

May 19, 2011, 9:00 am-5:00 pm, San Francisco, Calif.

https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032479960&Culture=en-US

-GPU Computing Overview – Microsoft, Acceleware, NVIDIA

May 20, 2011, 9:00 am-5:00 pm, Chicago, Ill.

https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032479956&Culture=en-US

-NEW: GPGPU Computing for Scientific Applications

May 23-27, 2011, Cordoba, Argentina

Held in FaMAF, National University of Cordoba

Note: Sessions by Robert Strzodka (MPI-Saarbrücken) and Ross Walker (SDSC, CUDA Fellow) www.famaf.unc.edu.ar/grupos/GPGPU/EscuelaGPGPU2011

-NAFEMS World Congress: Promoting Adoption of HPC for Engineering Simulation

May 23-26, 2011, Boston, Mass.

Note: Session by Stan Posey, NVIDIA, on May 25

http://www.nafems.org/congress

-LS-DYNA 8th European Users Conference

May 23-24, 2011, Strasbourg, France

Note: Paper and talk by Stan Posey and Srinivas Kodiyalam, NVIDIA

http://www.lsdynaeuc.alyotech.fr/

-NEW: Computer Simulations on GPU – International Symposium

May 30-June 1, 2011, Mainz, Germany

Note: Axel Koehler, NVIDIA, will present

www.cond-mat.physik.uni-mainz.de/~weigel/GPU2011/home/

June 2011-25th International Conference on Supercomputing

June 1-4, 2011, Tucson, Ariz.

http://ics11.cs.arizona.edu/

-Intelligent Vehicles Conference – IEEE

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

Note: Session by Jeff Ota, NVIDIA, on Parallel Computing in Intelligent Vehicles

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

-Internat’l. Supercomputing Conference (ISC)

June 19-23, 2011, Hamburg, Germany

www.supercomp.de/isc11/Take-Part/Call-for-Papers

-Internat’l. Conference on Computer Systems and Applications

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

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

July – Dec. 2011-2011 World Congress on Engineering (WCE 2011)

July 6-8, 2011, London, England

http://www.iaeng.org/WCE2011/ICPDC2011.html

-Genetic and Evolutionary Computation Conference (GECCO)

July 12-16, 2011 Dublin, Ireland

www.sigevo.org/gecco-2011/index.html

-World Congress in C.S., Computer Engineering, Applied Computing (WORLDCOMP’11)

July 18-21, 2011, Las Vegas, Nevada

www.world-academy-of-science.org/worldcomp11/ws

-Application Accelerators in High Performance Computing (SAAHPC 2011)

(Call for papers: May 6)

July 19-21, 2011, Univ. of Tennessee, Knoxville, Tennessee

http://illinois.edu/lb/article/2100/45663

-Advanced Numerical Methods on GPUs

Mini-symposium at ENUMATH 2011

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

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

-Parallel Processing and Applied Mathematics (PPAM 2011)

Sept. 11-14, 2011, Torun, Poland

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

http://ppam.pl/tutorials/21

-Geospatial Summit

Sept. 13-14, 2011, Herndon, Virginia

http://cfp.foseinstitute.org/gis2011

-SPIE Conference on High-Performance Computing in Remote Sensing

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

http://spie.org/rs11

-SEG (Society of Exploration Geophysicists) Annual Meeting

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

(Deadline for abstracts: April 6, 2011)

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

-GPU Technology Conference (GTC 11)

Oct. 11-14, 2011, San Jose, Calif.

www.gputechconf.com

-SC11

Nov. 12-18, 2011, Seattle, Wash.

http://sc11.supercomputing.org/?pg=techprogram.html

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

CUDA Downloads	back to the top
– Download CUDA: www.nvidia.com/getcuda – Download Parallel Nsight: www.nvidia.com/object/parallel-nsight.html – Get developer guides and docs: http://developer.nvidia.com/object/gpucomputing.html

CUDA Registered Developer Program

– Sign up: www.nvidia.com/paralleldeveloper

CUDA GPUs

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

CUDA Libraries Performance Report

– Download: http://bit.ly/ehR5az

CUDA on the Web

CUDA Recommended Reading

– Kudos for CUDA: www.hpcwire.com/features/Kudos-for-CUDA-97889444.html
– Supercomputing for the Masses, Part 21: http://is.gd/f9o6o
– CUDA books: http://www.nvidia.com/object/cuda_books.html

CUDA Recommended Viewing

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

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

– SC10 presentations: www.nvidia.com/object/sc10_theater.html

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

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Tygodniowy newsletter “CUDA: Week in Review.” – 04.04.2011

Napisany przez e-on w Aktualności dnia 04.04.2011

Mon., April 4, 2011, Issue #51

Click here for online version

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

CUDA TOP STORIES

GPU–Accelerated Large Scale Analytics

Congrats to Ross Walker!

CUDA and Financial Modeling

Jacket for MATLAB v1.7

PGI 2011 v11.3

CONTENTS

CUDA SPOTLIGHT

CUDA DEVELOPER NEWS

REPLAYS OF THE WEEK

CUDA JOBS

CUDA CALENDAR

CUDA RESOURCES

FOLLOW US ONLINE
	Follow @GPUComputing on Twitter
	Become a fan of NVIDIA on Facebook
	See list of NVIDIA online profiles

GPU-Accelerated Large-Scale Analytics

This week’s spotlight is on Dr. Ren Wu, Senior Research Scientist at HP Labs in Palo Alto, Calif., and Principal Investigator of the CUDA Research Center at HP Labs. Dr. Wu works in the area of large-scale analytics and business intelligence. Here is an extract from our interview:

NVIDIA: Ren, tell us about potential applications of GPU-accelerated large-scale data analytics.

Ren: There are many different and exciting scenarios, including trend analysis of social media, large-scale predictive models, automatic data correlation, and statistical analysis in sensor data streams. And the GPU is not limited to accelerating large-scale analytics only; it can be used for accelerating analytics on any scale. I expect to see many more GPU-accelerated cloud services in the near future.

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

Ren: We’ve looked at various core primitives in analytics. Per chip comparison, typically we’ve achieved about a 5-20X performance advantage by using CUDA GPUs over a pure CPU approach. For a typical workstation with two CPUs and two Tesla boards, this ratio is also pretty much maintained. Same goes for the servers, even though it can vary more, depending on the server’s configuration.

Personally, I think that the CUDA programming model is a very nice framework–well balanced on abstraction and expressing power, enough control for algorithm designers, and supported by hardware with exceptional performance (compared to other alternatives).

- Read the complete interview here

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

Congrats to Ross Walker!

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Dr. Ross Walker of the San Diego Supercomputing Center was awarded the HP Outstanding Junior Faculty Award in Computational Chemistry for his work in accelerating the popular molecular dynamics code AMBER on GPUs. Ross is an NVIDIA CUDA Fellow.
- See: http://www.eurekalert.org/pub_releases/2011-03/uoc–srw033011.php

CUDA and Financial Modeling
Wolfram Research and NVIDIA hosted an “Optimizing Financial Modeling” seminar. In this YouTube video, NVIDIA’s John Ashley explains how parallel programming with CUDA is changing financial computation (25 mins).
- See: http://www.youtube.com/watch?v=gWlFpv4KzEE

Jacket for MATLAB v1.7
A new version of Accelereyes’ Jacket is available. Jacket accelerates MATLAB code.
- See: http://www.accelereyes.com/products/announce

PGI 2011 v11.3
New features in PGI 2011 include PGI Accelerator and CUDA Fortran support for 64-bit MacOS.
- See: http://www.pgroup.com/support/new_rel.htm

GTC 2011 – Call for Submissions is Open
Submit your proposals by May 3.
- See: www.nvidia.com/object/call_for_submissions.html

CUDA 4.0
The CUDA Toolkit 4.0 RC is available to CUDA Registered Developers.
- Register: http://www.nvidia.com/paralleldeveloper
- More info: http://developer.nvidia.com/object/cuda_4_0_RC_downloads.html

NEW: Each week we highlight sessions from GTC 2010 and SC10. Here are our picks for this week:

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Languages, Tools and APIs for GPU Computing (GTC10)
Will Ramey – NVIDIA
http://www.nvidia.com/content/GTC-2010/pdfs/2004_GTC2010.pdf

Using GPUs to Run Next-Gen Weather Models (SC10)
Mark Govett – NOAA
http://www.nvidia.com/content/PDF/sc_2010/theater/Govett_SC10.pdf

The School of Computer Science at the University of Birmingham will award a Microsoft PhD Scholarship on the topic “Structural Foundations for Heterogeneous Computation.” Applicants must have honors degree or equivalent in C.S., Mathematics or Computer Engineering. Position is open for UK and EU applicants, but strong candidates from outside the EU may be considered. The Scholar will work under the supervision of Dr. Dan R. Ghica from University of Birmingham. On behalf of Microsoft Research, the Scholar will be also supervised by Prof. Satnam Singh.
- Dan R. Ghica’s page: http://www.cs.bham.ac.uk/~drg/
- Satnam Singh’s page: http://research.microsoft.com/
en-us/people/satnams/

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-CUDA 4.0 Overview – Webinar
Tuesday, April 5, 10:00 am pacific
Presented by Will Ramey, NVIDIA
https://www2.gotomeeting.com/register/631883322

-NEW:     Live Q&A on CUDA-gdb and memcheck – Webinar
Wednesday,     April 13, 2011, 10:00-11:00 am pacific
Presented by     senior engineering team, NVIDIA
https://www2.gotomeeting.com/register/337468450

-NEW:     Bright Cluster Manager/Advanced Clusters Made
          Easy     – Webinar
Thursday, April     21, 2011, 9:00-10:00 am pacific
https://www2.gotomeeting.com/register/687856658

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April 2011	back to the top

SagivTech 3-Day CUDA Course

April 3-5, 2011 Haifa, Israel

www.sagivtech.com/24054.html

Meetup: HPC & GPU Supercomputing Group of Silicon Valley

April 4, 2011, 6:00 pm

Carnegie Mellon Silicon Valley/NASA, Mountain View, Calif

http://www.meetup.com/HPC-GPU-Supercomputing-Group-of-Silicon-Valley/

Meetup: HPC & GPU Supercomputing Group of Boston

April 7, 2011, 6:00 pm

Microsoft NERD Center, Cambridge, Mass.

http://www.meetup.com/HPC-GPU-Supercomputing-Group-of-Boston/

Many-Core and Reconfigurable Supercomputing Conference (MRSC 2011)

April 11-13, 2011, Bristol, U.K

Note: CUDA workshop on April 11

www.mrsc2011.eu

Simulation Developer’s Working Group Meeting

Apr. 12-13, 2011, Las Vegas, Nevada

Note: Doug Traill of NVIDIA to present

http://registration.istdayton.com/SDAWG/index.html

NEW: Fluid-Structure Interaction 2011: Workshop on the Advances in
Computational Methods

April 27-29, 2011, Singapore

Note: Session by Srinivas Kodiyalam, NVIDIA, on April 29

www.fsi-singapore.com/

May 2011

-GPU Computing Overview – Microsoft, NVIDIA

May 3, 2011, 9:00 am-5:00 pm, Boston, Mass.

https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032479956&Culture=en-US

-GPU Computing Overview – Microsoft, NVIDIA

May 4, 2011, 9:00 am-5:00 pm, New York, New York

https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032479952&Culture=en-US

-Parallel CFD Conference (ParCFD 2011)

May 16-20, 2011, Barcelona, Spain

Note: Tutorial by Tom Reed, NVIDIA, on May 16

http://parcfd2011.bsc.es/

-Workshop on High Performance Computational Biology – IEEE

May 16, 2011, Anchorage, Alaska

Note: Held with International Parallel & Distributed Processing Symposium

www.hicomb.org/

-GPU Computing Overview – Microsoft, NVIDIA

May 19, 2011, 9:00 am-5:00 pm, San Francisco, Calif.

https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032479960&Culture=en-US

-GPU Computing Overview – Microsoft, NVIDIA

May 20, 2011, 9:00 am-5:00 pm, Chicago, Ill.

https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032479956&Culture=en-US

-NAFEMS World Congress: Promoting Adoption of HPC for Engineering Simulation

May 23-26, 2011, Boston, Mass.

Note: Session by Stan Posey, NVIDIA, on May 25

http://www.nafems.org/congress

-NEW: LS-DYNA 8th European Users Conference

May 23-24, 2011, Strasbourg, France

Note: Paper and talk by Stan Posey and Srinivas Kodiyalam, NVIDIA

http://www.lsdynaeuc.alyotech.fr/

June 2011

-25th International Conference on Supercomputing

June 1-4, 2011, Tucson, Ariz.

http://ics11.cs.arizona.edu/

-Intelligent Vehicles Conference – IEEE

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

Note: Session by Jeff Ota, NVIDIA, on Parallel Computing in Intelligent Vehicles

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

-Internat’l. Supercomputing Conference (ISC)

June 19-23, 2011, Hamburg, Germany

www.supercomp.de/isc11/Take-Part/Call-for-Papers

-Internat’l. Conference on Computer Systems and Applications

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

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

July – Dec. 2011

-2011 World Congress on Engineering (WCE 2011)

July 6-8, 2011, London, England

http://www.iaeng.org/WCE2011/ICPDC2011.html

-Genetic and Evolutionary Computation Conference (GECCO)

July 12-16, 2011 Dublin, Ireland

www.sigevo.org/gecco-2011/index.html

-World Congress in C.S., Computer Engineering, Applied Computing (WORLDCOMP’11)

July 18-21, 2011, Las Vegas, Nevada

www.world-academy-of-science.org/worldcomp11/ws

-Application Accelerators in High Performance Computing (SAAHPC 2011)

(Call for papers: May 6)

July 19-21, 2011, Univ. of Tennessee, Knoxville, Tennessee

http://illinois.edu/lb/article/2100/45663

-NEW: Advanced Numerical Methods on GPUs

Mini-symposium at ENUMATH 2011

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

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

-NEW: Parallel Processing and Applied Mathematics (PPAM 2011)

Sept. 11-14, 2011, Torun, Poland

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

http://ppam.pl/tutorials/21

-Geospatial Summit

Sept. 13-14, 2011, Herndon, Virginia

http://cfp.foseinstitute.org/gis2011

-SPIE Conference on High-Performance Computing in Remote Sensing

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

http://spie.org/rs11

-SEG (Society of Exploration Geophysicists) Annual Meeting

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

(Deadline for abstracts: April 6, 2011)

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

-GPU Technology Conference (GTC 11)

Oct. 11-14, 2011, San Jose, Calif.

www.gputechconf.com

-SC11

Nov. 12-18, 2011, Seattle, Wash.

http://sc11.supercomputing.org/?pg=techprogram.html

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

CUDA Registered Developer Program	back to the top
– Sign up: www.nvidia.com/paralleldeveloper (allows access to CUDA Toolkit 4.0 RC)

CUDA GPUs

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

CUDA Libraries Performance Report

– Download: http://bit.ly/ehR5az

CUDA Downloads

– Download CUDA: www.nvidia.com/getcuda
– Download Parallel Nsight: www.nvidia.com/object/parallel-nsight.html
– Get developer guides and docs: http://developer.nvidia.com/object/gpucomputing.html

CUDA on the Web

CUDA Recommended Reading

– Kudos for CUDA: www.hpcwire.com/features/Kudos-for-CUDA-97889444.html
– Supercomputing for the Masses, Part 21: http://is.gd/f9o6o
– CUDA books: http://www.nvidia.com/object/cuda_books.html

CUDA Recommended Viewing

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

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

– SC10 presentations: www.nvidia.com/object/sc10_theater.html

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

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

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Tygodniowy newsletter “CUDA: Week in Review.” – 22.03.2011

Napisany przez e-on w Aktualności dnia 22.03.2011

CUDA: Week in Review

Jacket 1.7 AccellerEyes już dostępny!

Napisany przez e-on w Aktualności dnia 19.03.2011

Tues., Mar. 22, 2011, Issue #50

Jacket 1.7 is now available for faster MATLAB® code. Download v1.7

Jacket is the premier solution for GPU computing in MATLAB, faster and more capable than the Parallel Computing Toolbox.

New Features with Jacket v1.7The recent release of Jacket v1.7 includes:

new Signal Processing Functions
new Sparse Linear Algebra Library
faster CONV, CONV2, CONVN
enhanced GFOR support
new Graphics Library update
see Full Release Notes

Learn more about GPUs & MATLAB

Take a tour for a quick introduction.

Technical Whitepapers to learn how to leverage data-parallelism with GPUs

Jacket Documentation in-depth specifics

Super Mario Brothers and how Jacket’s GPU runtime in delivers speed to MATLAB code

Examples & Benchmarks

Benchmarks from Stanford showing how Jacket beats the Parallel Computing Toolbox

Benchmarks from Professor Torben Larsen, expert details about Jacket benchmarking

Convolution benchmarks showing how just 1 GPU is much faster than full throttle PCT

Case studies showing how Jacket speeds up real applications

Support & Hardware

Online help for getting started and optimizing the performance of your code

Purchase GPU systems from Jacket resellers

Email to Jacket engineers to ask questions

Email our sales staff to setup an online live demo

Jacket 1.7 AccellerEyes 1.7, już dostępny, now available.

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Internetowa seminaria z CUDA (03-04.2011) !

Napisany przez e-on w Aktualności dnia 19.03.2011

Witam, poniżej przedstawiam liste internetowych seminariów na temat CUDA, które będą odbywać się w marcu i kwietniu.

Date	Time	Topic
Upcoming Webinars
3/15/11	9am PST	Live Chat with Ian Buck — CUDA Software Director
3/22/11	7am PST	CUDA 4.0 — Feature Overview — Europe
3/23/11	9am PST	Parallel Nsight Pro for Compute Debugging — One of the Most Powerful Tool for Developing Parallel Code
3/23/11	9pm PST	CUDA 4.0 — Feature Overview — APAC and India
4/5/11	10am PST	CUDA 4.0 — Feature Overview — Encore
4/13/11	10am PST	Live Q&A with Satish Salian, NVIDIA’s Engineering Manager for CUDA-gdb and memcheck

Rejestracja na darmowe szkolenia pod adresem:

http://www.nvidia.com/content/newsletters/web/nv-newsletter/cuda-webinars-mar-2011-web.html

Internetowa seminaria z CUDA (03-04.2011) !

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Tygodniowy newsletter “CUDA: Week in Review.” – 01.03.2010

Napisany przez e-on w Aktualności dnia 01.03.2011

Tues., Mar. 1, 2011, Issue #49

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

CUDA TOP STORIES

CUDA 4.0 Announced

GPU Computing Meetups

Gordon Bell Prize Deadline

Augmented Reality and GPU Computing

CONTENTS

CUDA 4.0 Announced

This week’s spotlight is on CUDA 4.0. We touched base with Sanford Russell, Director of CUDA Marketing, about the significance of this next-generation software.

NVIDIA: Why is CUDA 4.0 important?

Sanford: When we first released CUDA 1.0 in 2007, it was targeted to early adopters. Since then, it has evolved into a robust software package used around the world. The latest version, CUDA 4.0, is perfect for C/C++ and Fortran parallel developers. We see it being attractive to a broad base of developers, including those who may have been on the fence about parallel computing. Every year, the return on investment for CUDA-based application development becomes more compelling.

NVIDIA: What’s new in CUDA 4.0?

Sanford: We have three critical new features, all of which make parallel programming easier and accessible to more developers:
- NVIDIA GPUDirect 2.0, which enables peer-to-peer memory
access and thus faster multi-GPU programming;
- Unified Virtual Addressing, which provides a single flat
memory address space for CPU and GPU resources, enabling
quicker and easier parallel programming;
- More C++ capabilities and an easier way to program parallel
apps in C++ with the addition of the Thrust library of
template performance primitives.

NVIDIA: When will the software be available?

Sanford: The CUDA Toolkit 4.0 Release Candidate will be available for download on Friday for CUDA Registered Developers.
- You can register at: www.nvidia.com/paralleldeveloper.
- The software will be available at:
http://developer.nvidia.com/object/cuda_4_0_RC_downloads.html.

- For more info, see Sanford’s post on the NVIDIA blog: http://blogs.nvidia.com/
- Register for the CUDA 4.0 webinar (Fri., March 4, by Will Ramey of NVIDIA): http://bit.ly/fiMSzX
- Read about CUDA 4.0 in the press: The Register; Anandtech; Dr. Dobb’s; HPCwire

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

GPU Computing Meetups Spring Up

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As the website gpgpu.org recently reported, a number of GPU computing “Meetups” have sprung up. These professional groups – which leverage the social media platform Meetup – have formed in New York City, Silicon Valley, Boston, Chicago, Albuquerque and Tokyo in the first eight weeks of 2011. The networks provide a way for developers and business people to get together informally to discuss applications, markets and technologies related to GPU computing. The first GPU Meetups were founded in Australia – in Brisbane, Sydney, Perth and Melbourne.
- To see a list of GPU-related Meetups, visit: http://gpu.meetup.com/

Gordon Bell Prize — Application Deadline
The ACM Gordon Bell Prizes are awarded each year to recognize outstanding achievement in high-performance computing. The purpose of the award is to track the progress over time of parallel computing. Abstracts are due April 1 and papers are due April 8.
- See: http://awards.acm.org/bell/

GTC 2011 — Save the Date!
The next GPU Technology Conference (GTC 2011) will take place October 11-14 in San Jose, California. Call for submissions will open soon.
- See: http://www.gputechconf.com

NEW: Each week we highlight sessions from GTC 2010 and SC10. Here are our picks for this week:

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Enabling Augmented Reality with GPU Computing
Ryan Ismert — Sportvision (streaming, 40 mins.)
http://nvidia.fullviewmedia.com/gtc2010/0923-c-2123.html

Supercomputing for the Masses:
Killer Apps, Parallel Mappings, Scalability and App Lifespan (SC10)
Robert Farber — Pacific Northwest National Laboratory (pdf)
http://www.nvidia.com/content/PDF/sc_2010/theater/Farber_SC10.pdf

GE Healthcare seeks an experienced software engineer for global team developing industry-leading CT scanners. Responsibilities include designing, implementing and testing CT image reconstruction software. Required: Bachelor’s Degree in CS, EE or related field. CUDA experience a plus.
- See: http://bit.ly/g1T3Qh

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March 2011	back to the top

NEW: Mathematica for CUDA and OpenCL Programming – Seminar

March 1, 2011, noon, Univ. of Illinois Urbana-Champaign

Beckman Institute Forum for Imaging & Visualization

http://illinois.edu/calendar/detail/117?key=2011022320110223660276&skinId=2320

HPC & GPU Supercomputing Group of New York Meetup

March 2, 2011, 6:00 pm, New York, New York

Hosted at Microsoft, 1290 Avenue of the Americas

www.meetup.com/HPC-GPU-Supercomputing-Group-of-New-York/

HPC & GPU Supercomputing Group of Boston Meetup (1st meeting)

March 3, 2011, 6:00 pm, Cambridge, Massachusetts

Hosted at Microsoft NERD Center, 1 Memorial Drive

www.meetup.com/HPC-GPU-Supercomputing-Group-of-Boston/

NEW: Mathematica 8 & GPU Computing – Seminar

Co-sponsored by WRAL, Elsa Japan, NVIDIA Japan

March 4, 2011, Chiyoda-ku Iidabashi Dawn (Shosaikan) 4F, Tokyo, Japan

http://www.elsa-jp.co.jp/event/gpu_seminar2011.html

NEW: Key Algorithm Techniques for Heterogeneous Computing

Presented by Prof. Wen-mei Hwu, Univ. of Illinois Urbana-Champaign

Note: Live presentation, with simultaneous webcast

March 3, 2011, 2:00 pm pacific, NVIDIA headquarters, Santa Clara, Calif.

https://www2.gotomeeting.com/register/292102539

NEW: CUDA 4.0 Feature Overview – NVIDIA Webinar

Presented by Will Ramey, NVIDIA

March 4, 2011, 10:00 am pacific

https://www2.gotomeeting.com/register/394445946

Workshop on General Purpose Processing on GPUs (with ASPLOS XVI)

March 5, 2011, Newport Beach, California

www.ece.neu.edu/GPGPU/

NEW: HPC & GPU Supercomputing Group of Silicon Valley (1st meeting)

March 7, 2011, 6:30 pm, CMU/Silicon Valley, Mountain View, Calif.

http://www.meetup.com/HPC-GPU-Supercomputing-Group-of-Silicon-Valley/events/16449084/

NEW: HPC & GPU Supercomputing Group of Tokyo Meetup (1st meeting)

March 7, 2011, 7:00 pm, Konan, Minato-ku, Tokyo, Japan

Hosted at Microsoft, Shinagawa Grand Central Tower 2-16-3

http://www.meetup.com/HPC-GPU-Supercomputing-Group-of-Tokyo/

NEW: Applied Computer Applied Computational Science (ACACOS ’11, WSEAS)

March 8-10, 2011, Venice, Italy

www.wseas.us/conferences/2011/venice/acacos/

NEW: Interest Rate and Credit Modeling on GPUs – Thalesian Seminar

Presented by Peter Decrem of Quantifi

March 9, 2011, 6:30 pm, Playwright Tavern, New York, New York

http://www.meetup.com/thalesians/calendar/16551679/

GPU Computing Using Mathematica and CUDA – Webinars

March 11, 2011, noon central time

March 14, 2011, 5:00 pm central time

March 16, 2011, 9:00 am central time

www.wolfram.com/events/cudawebinar/

GPU Computing Session, German Physical Society Conference

March 13-18, 2011, Dresden, Germany

http://dresden11.dpg-tagungen.de/index.html

ASIM Workshop 2011 – ASIM and Technische Universitat Munchen (TUM)

March 14-16, 2011, Leibniz, Germany

Theme: Trends in Computational Science & Engineering: Foundations of Modeling & Simulation

http://www5.in.tum.de/asim2011.html

SagivTech 3-Day CUDA Course

March 27-29, 2011 Ramat Gan, Israel

www.sagivtech.com/24054.html

April – May 2011

SagivTech 3-Day CUDA Course

April 3-5, 2011 Haifa, Israel

www.sagivtech.com/24054.html

NEW: GPU Computing Overview – Microsoft, NVIDIA

May 3, 2011, 9:00 am-5:00 pm (includes meals), Boston, Mass.

https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032479956&Culture=en-US

NEW: GPU Computing Overview – Microsoft, NVIDIA

May 4, 2011, 9:00 am-5:00 pm (includes meals), New York, New York

https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032479952&Culture=en-US

CUDA and GPUs for CFD Applications – Tutorial

Parallel CFD Conference

May 16-20, 2011, Barcelona

http://parcfd2011.bsc.es/cuda-and-gpus-cfd-applications

Workshop on High Performance Computational Biology – IEEE

May 16, 2011, Anchorage, Alaska

Note: Held with International Parallel & Distributed Processing Symposium

http://www.hicomb.org/

NEW: GU Computing Overview – Microsoft, NVIDIA

May 19, 2011, 9:00 am-5:00 pm (includes meals), San Francisco, Calif.

https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032479960&Culture=en-US

NEW: GPU Computing Overview – Microsoft, NVIDIA

May 20, 2011, 9:00 am-5:00 pm (includes meals), Chicago, Ill.

https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032479956&Culture=en-US

NEW: NAFEMS World Congress: Promoting Adoption of HPC for Engineering Simulation

May 23-26, 2011, Boston, Mass.

Note: May 25, session by Stan Posey, NVIDIA, on GPU Acceleration for Multiphysics Applications

http://www.nafems.org/congress

June – Sept. 2011

25th International Conference on Supercomputing

June 1-4, 2011, Tucson, Arizona

http://ics11.cs.arizona.edu/

Intelligent Vehicles Conference – IEEE

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

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

Internat’l. Supercomputing Conference (ISC)

June 19-23, 2011, Hamburg, Germany

http://www.supercomp.de/isc11/Take-Part/Call-for-Papers

Internat’l. Conference on Computer Systems and Applications

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

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

NEW: 2011 World Congress on Engineering (WCE 2011)

(Call for papers: March 6)

July 6-8, 2011, London, England

http://www.iaeng.org/WCE2011/ICPDC2011.html

Genetic and Evolutionary Computation Conference (GECCO)

July 12-16, 2011 Dublin, Ireland

http://www.sigevo.org/gecco-2011/index.html/

NEW: World Congress in C.S., Computer Engineering, Applied Computing
(WORLDCOMP’11)

(Call for papers: March 10)

July 18-21, 2011, Las Vegas, Nevada

www.world-academy-of-science.org/worldcomp11/ws

Application Accelerators in High Performance Computing (SAAHPC 2011)

(Call for papers: May 6, 2011)

July 19-21, 2011, Univ. of Tennessee, Knoxville, Tennessee

http://illinois.edu/lb/article/2100/45663

NEW: VLDB (Very Large Data Bases) 2011

Aug. 29-Sept. 3, 2011, Seattle, Wash.

http://www.vldb.org/2011/?q=node/11

NEW: Geospatial Summit

(Call for papers: March 1)

Sept. 13-14, 2011, Herndon, Virginia

http://cfp.foseinstitute.org/gis2011

Ongoing

– CUDA Training from EMPhotonics: www.emphotonics.com/services/cuda-training

– CUDA Training from Acceleware: http://www.acceleware.com/events

– GPU Computing Webinars: www.nvidia.com/webinars

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

CUDA Registered Developer Program	back to the top
– Sign up: www.nvidia.com/paralleldeveloper

CUDA GPUs

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

CUDA Libraries Performance Report

– Download: http://bit.ly/ehR5az

CUDA Downloads

– Download Parallel Nsight: www.nvidia.com/object/parallel-nsight.html
– Get developer guides and docs: http://developer.nvidia.com/object/gpucomputing.html

CUDA on the Web

CUDA Recommended Reading

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

CUDA Recommended Viewing

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

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

– SC10 presentations: www.nvidia.com/object/sc10_theater.html

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