Archiwum dla Sierpień, 2011

GPU-Accelerated Biophotonics & Biomedical Optics
This week’s spotlight is on Alexander Doronin, a PhD candidate in the Biophotonics & Biomedical Imaging Research Group at the University of Otago in New Zealand.

His research interests include biophotonics, light-tissue interaction, Monte Carlo (MC) computational modeling and parallel programming on GPUs using CUDA.

NVIDIA: Alex, what is biophotonics?

Alex: Biophotonics refers to the interaction between biology and photonics. Photonics is a science that deals with the particle properties of light. A number of revolutionary applications have arisen in the field of photonics as a result of advancements in high technology and the miniaturization of solid-state optical/laser devices. A recent trend is the mapping of photonics technologies to the life sciences and medicine — hence the term “biophotonics” was coined. It is a fast moving and very exciting area of research.

NVIDIA: What’s an example of an application that could benefit from biophotonics?

Alex: One example is cancer diagnostics. The current, most widely-used methodology for cancer diagnosis is histological analysis with microscopy. However, morphological variations (and especially morphological changes associated with early grades of cancer tissue) are difficult to resolve regarding what type or sub-type of cancer is present.

In our research, we are investigating the use of circular polarized light — and the manipulation of the coherent properties of light — to improve cancer diagnostics. The technique has the potential to revolutionize the ability to detect cancer at the very early stage.

NVIDIA: Tell us about the online Monte Carlo tool developed by your group.

Alex: With the rapid growth of the Internet, rich, browser-based applications have become more and more popular. Solutions such as Google Apps, Google Docs, online video sharing and gaming portals have become a large part of our everyday life.

Leveraging modern, web-based technology, we have created a free online MC computational tool for researchers in the area of biophotonics and biomedical optics. On the server side, the tool is accelerated by CUDA GPUs. On the client side, a lightweight, user-friendly web interface allows multiple clients to set up optical system parameters, perform modeling, and download results in a typical journal paper format.

We are currently extending our GPU cluster with additional Tesla M2090s and are expecting even more performance. The online MC tool is made available to the worldwide biophotonics community through the Biophotonics & Biomedical Imaging Research Group, which is headed up by my supervisor, Dr. Igor Meglinski.

- Read the complete interview here

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

GTC Asia Announced

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NVIDIA announced GTC Asia, the next major event in NVIDIA’s international series of GPU Technology Conference (GTC) events. GTC Asia will take place on Dec. 14-15, 2011 at the China National Convention Center in Beijing. www.gputechconf.cn

GTC Worldwide Call for Submissions
NVIDIA is now accepting poster proposals for the following events:
- GTC Express Live Theater @ SC11 (Nov. 12-18, 2011)
- GTC Asia 2011 (Dec. 14-15, 2011)
- GTC U.S. 2012 (May 14-17, 2012)
See: http://bit.ly/pLlsph
Project Maximus Update
NVIDIA’s ‘Project Maximus’ is an initiative to build a technology platform that enables workstation applications to take advantage of multi-GPU computing. By adding the computational power of a Tesla GPU with the advanced graphics capability of Quadro, users will be able to experience the highest level of productivity. Read what AnandTech’s Ryan Smith says about it: http://bit.ly/rpxoE6

A GPU Mini-Supercomputer for Every Scientist
The new GPU Starter Kit from HP is a pre-configured system that provides researchers with a ready-to-use GPU computing cluster, straight out of the box. It combines eight HP ProLiant SL390 G7 servers (containing 24 Tesla M2070 GPUs) with 16 CPUs. It is pre-configured with CUDA 4.0. For info, read Roy Kim’s recent blog on A GPU Mini-Supercomputer for Every Scientist or send an email to: Hpc-sales@hp.com

MAGMA v1.0 Supports Tesla GPUs
The Innovative Computing Laboratory (ICL) at University of Tennessee has released MAGMA v1.0 with support for NVIDIA Tesla GPUs. The MAGMA (Matrix Algebra for GPU and Multicore Architectures) Project aims to create a next generation of linear algebra libraries on heterogeneous systems. The ICL is directed by Dr. Jack Dongarra. http://icl.cs.utk.edu/magma/software/index.html

Gaussian to Support GPU Acceleration
NVIDIA, Gaussian, Inc., and The Portland Group (PGI) will develop a GPU-accelerated release of Gaussian, the quantum chemistry software app. Dr. Michael Frisch, president of Gaussian, said: “By coordinating the development of hardware, compiler technology and application software, the new app will bring the speed and cost-effectiveness of GPUs to the challenging problems and applications that Gaussian’s customers need to address.” http://www.nvidia.com/object/newsroom.html

A GPU Mini-Supercomputer for Every Scientist, by Roy Kim

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NEW: Each week we highlight sessions from GTC 2010 and ISC 2011. Here are our picks for this week:

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Enabling On Demand Value-At-Risk for Financial Markets (GTC 10)
Matthew Dixon – UC Davis and Jike Chong – Parasians
http://nvidia.fullviewmedia.com/gtc2010/0923-a7-2098.html

Texture Unit in 3D Volume Reconstruction (ISC 2011)
Karl Schwartz – Siemens AG
http://www.nvidia.com/content/PDF/isc-2011/Schwarz.pdf

NEW: Dell is seeking a systems engineer for its HPC engineering team in Austin, TX. Experience with GPUs, CUDA and/or OpenCL required. http://bit.ly/nSzOVD

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If you are travelling to any of these locations, feel free to drop in to a GPU Meetup. Visitors are welcome.

- United States
Boston GPU Meetup – Sept. 1, 6:00 pm
New York GPU Meetup – (Special Meeting) Sept. 8, 6:00 pm
Silicon Valley GPU Meetup – Sept. 12, 6:15 pm
New York GPU Meetup – Sept. 26, 6:00 pm
Boston GPU Meetup – Oct. 6, 6:00 pm

- Australia
Sydney GPU Meetup – Sept. 15, 6:00 pm
Brisbane GPU Meetup – Sept. 15, 6:00 pm

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- In-Depth CUDA Training (Presented by Acceleware, with Microsoft)

Aug. 30-Sept. 2, 2011, Chicago, Illinois

http://acceleware.com/aug30chicago

- NEW: ANSYS Regional Conference

Aug. 30, 2011, Chicago, Illinois

http://ansys.com/Conference/Chicago/

- NEW: ANSYS Regional Conference

Aug. 31-Sept. 1, 2011, Houston, Texas

http://ansys.com/Conference/Houston/

September 2011

- 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

- NEW: GPU Direct and Unified Virtual Addressing (Webinar)

Sept. 6, 2011

Presented by Timothy Schroeder, NVIDIA

https://www2.gotomeeting.com/register/410023659

- 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

- Rapid Problem Solving Using Thrust (Webinar)

Sept. 14, 2011

Presented by Nathan Bell, NVIDIA

Note: Thrust is a library that enables programmers to develop high-performance applications on CUDA with minimal effort.

http://www.gputechconf.com/object/gtc-express-webinar.html

- CUDA Course (Presented by SagivTech)

Sept. 18-20, 2011, Ramat Gan, Israel

Hands-on sessions and optimization techniques.

http://www.sagivtech.com/24054.html

- SEG (Society of Exploration Geophysicists) Annual Meeting

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

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

- CUDA Course (Presented by Tech-X)

Sept. 19-21, Boulder, Colorado

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

- Russian-German HPC School

Sept. 19-30, Novosibirsk

http://conf.nsc.ru/hpcschool

- SPIE Conference on High-Performance Computing in Remote Sensing

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

http://spie.org/rs11

- NEW: CUDA Optimization: Memory Bandwidth Limited Kernels (Webinar)

Sept. 20, 2011

Presented by Timothy Schroeder, NVIDIA

https://www2.gotomeeting.com/register/936728978

- NEW: CUDA Optimization: Instruction Limited Kernels (Webinar)

Sept. 27, 2011

Presented by Gernot Ziegler, NVIDIA

https://www2.gotomeeting.com/register/260445946

- NEW: GPU-Accelerated Derivative Pricing Models

Sept. 27, 2011, New York

Presented by SciComp, NVIDIA, Dell, Microsoft

http://www.scicomp.com/seminars/2011/signup

October 2011

- NEW: CUDA Optimization: Register Spilling and Local Memory Usage (Webinar)

Oct. 4, 2011

Presented by Paulius Micikevicius, NVIDIA

https://www2.gotomeeting.com/register/273766338

- NEW: GPU-Accelerated Derivative Pricing Models

Presented by SciComp, NVIDIA, Dell, Microsoft

Oct. 17, 2011, London, UK

http://www.scicomp.com/seminars/2011/signup

November 2011

- NEW: Supercomputing 2011 (SC11)

Nov. 12-18, Seattle, Washington

http://sc11.supercomputing.org/

(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: www.nvidia.com/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: http://developer.nvidia.com/cuda-gpus

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

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Tygodniowy newsletter “CUDA: Week in Review.” – 22.08.2011

Napisany przez e-on w Aktualności dnia 22.08.2011

Mon., August 22, 2011, Issue #60

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. Ross Walker, UCSD

CUDA TOP STORIES

CUDA Apps News Roundup

Stanford Seminars on CUDA

SC 2011 – Register Today

ANSYS Regional Conferences

CONTENTS

CUDA SPOTLIGHT

CUDA DEVELOPER NEWS

NEW ON THE BLOG

REPLAYS OF THE WEEK

CUDA JOBS

GPU MEETUPS

CUDA CALENDAR

CUDA RESOURCES

Follow @GPUComputing on Twitter

GPU-Accelerated Molecular Dynamics
This week’s spotlight is on Dr. Ross Walker, assistant research professor with the San Diego Supercomputer Center (SDSC) at UC San Diego and adjunct assistant professor in the Department of Chemistry and Biochemistry at UC San Diego.

Dr. Walker is a lead developer of AMBER (Assisted Model Building with Energy Refinement), a Molecular Dynamics (MD) software package for the simulation of biomolecules. A new update of AMBER, focusing on improved GPU acceleration, was recently made available to the public.

NVIDIA: Ross, tell us about the AMBER news announcement.

Ross: The announcement concerns a large scale update to the GPU acceleration support in AMBER. This is something we have been working on for the last nine months with funding from the National Science Foundation’s Scientific Software Infrastructure and Innovation program, in close collaboration with NVIDIA.

NVIDIA: What are potential applications of GPU-accelerated AMBER?

Ross: The latest update to GPU-accelerated AMBER provides performance that was previously unattainable, even with the fastest supercomputers. Thus we are now in a realm where for the first time we are talking about increasing capability and not just GPU acceleration. This widens the scope for the types of scientific questions one can attempt to solve.

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

Ross: I cannot begin to do justice to the revolution that GPU acceleration through CUDA is having on Molecular Dynamics. The GPU acceleration of MD through CUDA is, for the first time, making it possible for scientists to ‘experiment’ computationally. With our latest update, the performance of the code on a single Tesla M2090 GPU outstrips that achievable on 192 nodes of a Cray XT5 supercomputer.

NVIDIA: When you think about the future of Molecular Dynamics, what excites you the most?

Ross: We are only just beginning to scratch the surface in the types of questions we can ask with Molecular Dynamics. Traditionally it has been too slow and computationally expensive to make a significant impact in the drug discovery process but with GPU acceleration we are now at a point where the accuracy of MD approaches is no longer limited by the amount of sampling that can be done.

- Read the complete interview here

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

CUDA Apps Roundup: New Releases and Updates

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- PGI CUDA Fortran v11.8 – CUDA development tool. www.pgroup.com/cudafortran
- ATL SeqNFind – Genomics toolset for bioinformatics. http://bit.ly/pexBP2
- TidePowerd GPU.NET v2.0 – New features. http://bit.ly/nNwk2m
- AccelerEyes Jacket v1.8 and LibJacket v1.1. http://bit.ly/n7zNl2
- CUDPP release v2.0 – CUDA data-parallel primitives library. http://bit.ly/nsbwx5
- TunaCode CUVI v0.5 – Image processing. http://cuvilib.com
- rCUDA v3.0 – CUDA calls to remote GPUs. http://bit.ly/n5vdV9
- Odeint – C++ library for ordinary differential equations. http://bit.ly/qeNeE3

Stanford     Seminars on High Performance Computing with CUDA
Stanford has posted videos from the Spring 2011 seminar series held at the     Institute for Computational and Mathematical Engineering (ICME). The ICME     is directed by Professor Margot Gerritsen.
- Lecture 1: Intro to HPC with CUDA 1 (Cyril Zeller)
- Lecture 2: Intro to HPC with CUDA 2 (Justin Luitjens)
- Lecture 3: Optimizations 1 – Global Memory (Inderaj Bains)
- Lecture 4: Optimizations 2 – Shared Memory (Steven Rennich)
- Lecture 5: Finite Difference Stencils on Regular Grids (Paulius     Micikevicius)
For videos, see: http://bit.ly/osrgYk
For slides, see: http://bit.ly/pYAEqN

SC 2011 – Register Today
- It’s not too early to register for SC 2011 in Seattle, Washington. The theme of the conference is Data Intensive Science: http://bit.ly/qRLIcB
- For a trip down memory lane, see proceedings from the inaugural SC conference in 1989: http://bit.ly/n4SPrC

ANSYS Regional Conferences
ANSYS, developer of CAE (computer-aided engineering) software, is hosting a series of regional conferences for end-users. The meetings are targeted to designers, engineers, analysts, managers and executives who are solving next-generation engineering challenges.
- To register, see: http://www.ansys.com/Conference
- To read more about NVIDIA and ANSYS, see: http://bit.ly/nOXze3

GPUs Crunch Data from Square Kilometer-Sized Radio Telescope, by Heather Mackay

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NEW: Each week we highlight sessions from GTC 2010 and ISC 2011. Here are our picks for this week:

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Harnessing the GPU to Accelerate Automotive Development (GTC 10)
Igor Juric and Tomislav Bosko – Dok-Ing
http://nvidia.fullviewmedia.com/gtc2010/0921-d-2304.html

Real-time Visualization of Medical Images (ISC 2011)
Massimo Bernaschi – University La Sapienza
http://www.nvidia.com/content/PDF/isc-2011/Bernaschi.pdf

NEW: Aptina Imaging is looking for talented software engineers to join the imaging solutions development team in San Jose, Calif. Required: Experience with GPGPU, OpenCL or CUDA; 3+ years of consumer software development in C++.
See: http://bit.ly/pL7CVN

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If you are travelling to any of these locations, feel free to drop in. Visitors are welcome.

- United States
New York GPU Meetup – Aug. 22, 6:00 pm
South Florida GPU Meetup – Aug. 29, 6:30 pm (Inaugural meeting!)
Denver/Boulder GPU Meetup – Aug. 29, 6:30 pm
Boston GPU Meetup – Sept. 1, 6:00 pm
New York GPU Meetup – Sept. 8, 6:00 pm (Special meeting)
Silicon Valley GPU Meetup – Sept. 12, 6:15 pm

- Australia
Sydney GPU Meetup – Sept. 15, 6:00 pm

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- NEW: CUDA Optimization (Webinar)

Aug. 23, 2011

Presented by Paulius Micikevicius, NVIDIA

Note: First in a new series of optimization webinars

http://www.gputechconf.com/object/gtc-express-webinar.html

- NEW: In-Depth CUDA Training (Presented by Acceleware, with Microsoft)

Aug. 30-Sept. 2, 2011, Chicago, Illinois

http://acceleware.com/aug30chicago

September 2011

- 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

- Rapid Problem Solving Using Thrust (Webinar)

Sept. 14, 2011

Presented by Nathan Bell, NVIDIA

Note: Thrust is a library that enables programmers to develop high-performance applications on CUDA with minimal effort.

http://www.gputechconf.com/object/gtc-express-webinar.html

- CUDA Course (Presented by SagivTech)

Sept. 18-20, 2011, Ramat Gan, Israel

Hands-on sessions and optimization techniques.

http://www.sagivtech.com/24054.html

- CUDA Course (Presented by Tech-X)

Sept. 19-21, Boulder, Colorado

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

- Russian-German HPC School

Sept. 19-30, Novosibirsk

http://conf.nsc.ru/hpcschool

- 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: www.nvidia.com/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

– 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

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.” – 12.08.2011

Napisany przez e-on w Aktualności dnia 12.08.2011

Fri., August 12, 2011, Issue #59

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. Denis Bastieri, University of Padua

CUDA TOP STORIES

Forrester on JP Morgan, NVIDIA

New Video: Intro to CUDA

Upcoming CUDA Webinars

New CUDA Courses

CUDA in Academia

CONTENTS

CUDA SPOTLIGHT

CUDA DEVELOPER NEWS

NEW ON THE BLOG

REPLAYS OF THE WEEK

CUDA JOBS

GPU MEETUPS

CUDA CALENDAR

CUDA RESOURCES

Follow @GPUComputing on Twitter

GPU-Accelerated Astronomy
This week’s Spotlight is on Denis Bastieri of the University of Padua, Italy, and co-founder of Mimesis HPC.

Dr. Bastieri leads the NASA Fermi Large Area Telescope (LAT) team for the National Institute of Nuclear Physics (INFN) in Padua. Here’s a preview of our interview:

NVIDIA: Denis, tell us about the Fermi Space Telescope.

Denis: The Fermi mission is part of NASA’s focus on the theme of “Structure and Evolution of the Universe.” I specifically work with one of the two instruments aboard the Fermi spacecraft — the Large Area Telescope (LAT), which observes gamma rays, the electromagnetic radiation with the highest energy.

NVIDIA: Which organizations are involved in the project?

Denis: Fermi is a joint project between NASA, the U.S. Department of Energy and academic and research institutions across France, Germany, Japan, Italy and Sweden. The spacecraft was built by General Dynamics. Institutions in the LAT collaboration are listed at http://www-glast.stanford.edu/cgi-bin/collab_inst

NVIDIA: What role does NVIDIA technology play?

Denis: Parallel computing is the only viable solution when dealing with many different aspects of astrophysics, and GPUs perform parallel computing at a tenth of the cost of conventional systems. Proof of the momentum behind GPUs can be seen in the exponentially growing number of astrophysics papers with “GPU” listed in the abstract!

NVIDIA: What are the benefits of working with CUDA?

Denis: We started looking at parallel computing on GPUs back during the time of Cg (C for Graphics). The subject looked tantalizing: different textures for positions and velocities and we could model the evolution of a particle population in an external field. The results were quite promising, but Cg was not ideal for astrophysical modeling and we were almost going to dismiss the project entirely.

Then, CUDA was released in late 2006. We found programming in CUDA to be quite straightforward for any good C programmer. Our students demonstrated that they could become independent within a semester.

And now, CUDA 4.0 is even better! We utilize the Thrust algorithms library. We leverage Unified Virtual Address (UVA) to extend GPU memory capabilities. The CURAND library replaced our own version of a random number generator. CUDA allows us to fully exploit the performance of our 16 GPU cluster.

NVIDIA: What’s next in the field of astronomy? What are you most excited about?

Denis: We are gaining more and more confidence in our modeling of the high-energy gamma ray emission of the universe. We understand by now what is the contribution from standard sources: pulsars, known galaxies, etc. But we are not able to explain all the data we collected! Something is missing and we have to understand what. Hints of a new population of gamma-ray emitters? The elusive Dark Matter starting to show up? Quoting Sherlock Holmes: “Whatever remains, however improbable, must be the truth!”

But this is just the “near” future: developing new, fast techniques to analyze data and find the improbable. The real future? We still have to shape it! We want to expand our GPU cluster, hire people, start new projects; in a word, we want to understand what it takes to build next-generation observatories. For a taste of what’s to come, keep an eye on the DARPA/NVIDIA exascale computing project!

- Read the complete interview here

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

Forrester on JP Morgan Chase, NVIDIA

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Analyst Rich Fichera of Forrester recently blogged about the use of Tesla GPUs in JP Morgan Chase’s Equity Derivatives Group. The bank’s hybrid GPU/CPU systems achieved a 40X acceleration in risk calculation times combined with a sizable cost savings. Fichera writes: “If you are an I&O professional whose users are demanding extreme computational performance on a constrained space, power and capital budget, you owe it to yourself and your company to evaluate the newest accelerator technology. Your competitors are almost certainly doing so.”
- See: http://bit.ly/qvZ496

New Video: Intro to CUDA
NVIDIA’s Cliff Woolley provides an introduction to CUDA in this new five minute video posted on GPUGenius: http://bit.ly/nK5wKO

Upcoming CUDA Webinars
- NVIDIA’s Justin Luitjens will discuss CUDA Libraries on Tues., Aug. 16, including a live Q&A: http://bit.ly/oGTbH5 (CUDA Registered Developer Series)
- NVIDIA’s Nathan Bell will present “Rapid Problem Solving Using Thrust” on Wed., Sept. 14: http://bit.ly/qaWqLD (GTC Express Series)

New CUDA Courses
- SagivTech is offering a three-day CUDA course on Sept. 18-20 in Ramat Gan, Israel. The class will be conducted in a hands-on computer lab: http://www.sagivtech.com/24054.html
- Tech-X Corporation will present a three-day workshop on GPU computing with CUDA on Sept. 19-21 in Boulder, Colorado: http://www.txcorp.com/products/GPULib/cuda_training/download.php

CUDA in Academia
- Congrats to Francisco Igual, Universitat Jaume I, Spain, on publication     of his Ph.D. thesis on matrix computations and GPUs: http://www3.uji.es/~figual/Tesis/tesis.pdf
- Dr. Manuel Carcenac is teaching a course on CUDA at the European     University of Lefke in North Cyprus: http://bit.ly/qCBJbx
- The Russian-German School on High Performance Computing will hold a     series of courses on Sept. 19-30 in Novosibirsk: http://conf.nsc.ru/hpcschool2011/
- A one-month CUDA programming course is being taught by Ph.D. student Christopher     Cooper at the Universidad Técnica Federico Santa María in Chile: http://bit.ly/oBK54P
- Learn about NVIDIA’s Academic Partnership Program: http://bit.ly/nM1S25

And     the Winners of the NVART Competition Are…,     by Will Park
NVIDIA     Photorealistic Rendering Demo at SIGGRAPH, by Phil     Miller
J.P.     Morgan Achieves 40X Speed-up in Risk Computation,     by George Millington
GPU     Technology Conference: 1000 Strong in Tokyo,     by Victoria Crimmins
An     Inspiring Morning, by Hector Marinez

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NEW: Each week we highlight sessions from GTC 2010 and ISC 2011. Here are our picks for this week:

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GPU Cluster Computing: Accelerating Scientific Discovery (GTC 10)
John Taylor – CSIRO
http://nvidia.fullviewmedia.com/gtc2010/0923-a2-2301.html

Real-time Visualization of Medical Images (ISC 2011)
Erik Steen – GE Ultrasound
http://www.nvidia.com/content/PDF/isc-2011/Steen.pdf

NEW: Ion Torrent, a subsidiary of Life Technologies in South San Francisco, CA, is seeking an exceptional software engineer with extensive high performance computing experience, one who is highly creative, loves to code, and wants to build and ship software for a disruptive technology. Reference REQ# 5549. See: http://www.iontorrent.com and http://www.lifetechnologies.com/

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If you are travelling to any of these locations, feel free to drop in. Visitors are welcome, especially to the inaugural Meetups in Washington, DC and South Florida.

- United States
Silicon     Valley GPU Meetup – Aug. 15, 6:15 pm
Wash.     DC GPU Meetup – Aug. 18, 5:30 pm (inaugural meeting!)
Austin     GPU Meetup – Aug. 19, 6:00 pm
New     York GPU Meetup – Aug. 22, 6:00 pm
South     Florida GPU Meetup – Aug. 29, 6:30 pm (inaugural     meeting!)
Boston     GPU Meetup – Sept. 1, 6:00 pm
New     York – Special GPU Meetup – Sept. 8, 6:00 pm     (with head of NV
Research)

- Australia
Brisbane GPU Meetup – Aug. 18, 6:00 pm
Sydney GPU Meetup – Sept. 15, 6:00 pm

August 2011	back to the top

- Par Lab Boot Camp (Short Course on Parallel Computing)

Aug. 15-17, 2011, UC Berkeley, Berkeley, California

http://conta.cc/njsSB9

- Proven Algorithmic Techniques for Manycore Processors (Hands-On Course)

Aug. 15-19, 2011 (at multiple locations via videoconferencing)

Note: Sponsored by the Virtual School of Computational Science and Engineering (VSCSE)

www.vscse.org

- NEW: CUDA Libraries (Webinar)

Presented by Justin Luitjens, NVIDIA

Aug. 16, 2011

http://bit.ly/oGTbH5

- NEW: In-Depth CUDA Training (Presented by Acceleware, with Microsoft)

Aug. 30-Sept. 2, 2011, Chicago, Illinois

http://acceleware.com/aug30chicago

September 2011

- 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

- Rapid Problem Solving Using Thrust (Webinar)

Sept. 14, 2011

Presented by Nathan Bell, NVIDIA

Note: Thrust is a library that enables programmers to develop high-performance applications on CUDA with minimal effort.

http://www.gputechconf.com/object/gtc-express-webinar.html

- NEW: CUDA Course (Presented by SagivTech)

Sept. 18-20, 2011, Ramat Gan, Israel

Hands-on sessions and optimization techniques.

http://www.sagivtech.com/24054.html

- NEW: CUDA Course (Presented by Tech-X)

Sept. 19-21, Boulder, Colorado

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

- NEW: Russian-German HPC School

Sept. 19-30, Novosibirsk

http://conf.nsc.ru/hpcschool

- 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

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

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