Archiwum dla Kwiecień, 2011

Tygodniowy newsletter “CUDA: Week in Review.” – 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
Sign         up to be a CUDA Registered Developer

 

 
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?

back to the top

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:

back to the top

      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

back to the top

 
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/

back to the top

 
- 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/

back to the top

 
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
Register for CUDA Tutorial: http://bit.ly/eEKn7B
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
– 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
– 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
 
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.

Copyright © 2011 NVIDIA Corporation. All rights reserved. 2701 San Tomas     Expressway, Santa Clara, CA 95050.

Brak komentarzy

Tygodniowy newsletter “CUDA: Week in Review.” – 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

back to the top

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.deScobleizer 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.

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

back to the top

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/

back to the top

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
– 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
– 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
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.Copyright © 2011 NVIDIA Corporation. All rights reserved. 2701 San Tomas Expressway, Santa Clara, CA 95050.

Brak komentarzy

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

back to the top

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:

back to the top

      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/

back to the top

 
-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

back to the top

 
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
– 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
– 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
 
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.

Copyright © 2011 NVIDIA Corporation. All rights reserved. 2701 San Tomas     Expressway, Santa Clara, CA 95050.

Brak komentarzy