Archiwum dla Czerwiec, 2011

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

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

back to the top

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:

back to the top

      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

back to the top

 
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

back to the top

 
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
Register: http://lammps.sandia.gov/workshops.html
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
– 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
– 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