CUDA: Week in Review
Tuesday, November 2, 2010, Issue #40 - Newsletter Home  
WELCOME
Welcome to CUDA: Week in Review, an online news summary for the worldwide CUDA and GPU computing community.
CONTENTS
CUDA SPOTLIGHT
Visual Effects in "Salt" Boosted by CUDA and CS5 Premiere Pro
Speed is critical when you’re a secret agent on the run, as demonstrated by Angelina Jolie in Sony Pictures’ summer thriller Salt. Speed also played a key role in the creation of visual effects for the movie, which were executed, in part, by Moscow-based visual effects company Tikibot, using NVIDIA Quadro, CUDA and Adobe CS5 Premiere Pro.

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

Tikibot is currently in production on its next CUDA-charged projects: a FIFA World Cup feature and a new collaboration with Angelina Jolie - in her directorial debut of a Bosnian war love story. Read more at: http://www.nvidia.com/object/salt.html
CUDA NEWS
Tesla GPUs Power World’s Fastest Supercomputer
Tianhe-1A, the new supercomputer revealed at HPC 2010 China, set a new performance record of 2.507 petaflops, making it the fastest system in the world. For more info, read blog post by Andy Walsh, NVIDIA’s director of Tesla products: http://blogs.nvidia.com/ntersect/2010/10/tesla-gpus-power-1-supercomputer.html. (Note: Petaflops is a measure of a computer’s processing speed, equal to a quadrillion (thousand trillion) floating point operations per second.)

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

NVIDIA Experts Publish New Paper on "Throughput-Oriented Architectures"
Michael Garland and David B. Kirk of NVIDIA have written a paper about the growing prominence of throughput-oriented microprocessor architectures. The paper concludes that "the ideal system is… heterogeneous, where a latency-oriented processor (such as a CPU) and a throughput-oriented processor (such as a GPU) work in tandem to address the heterogeneous workloads presented to them."
  - See: http://is.gd/gt0o3
CUDA - COUNTDOWN TO SC10
At SC10, a premier supercomputing industry conference, NVIDIA will run a GPU Computing Theater on Nov. 16-18. Featured topics/speakers on Nov. 16 include:

High Performance Molecular Simulation, Visualization and Analysis
John Stone, University of Illinois at Urbana-Champaign
 
Large-Scale GPU Computing of Multi-Phase Flow
Wei Ge, Institute of Process Engineering, Chinese Academy of Sciences
 
Supercomputing for the Masses
Robert Farber, Pacific Northwest National Laboratory
 
Keeneland - An NSF Heterogeneous Computing Resource
Jeffrey Vetter, Oakridge National Laboratory/Georgia Tech
 
Large Scale Distributed GPU Isosurfacing
Paul Navratil, Texas Advanced Computing Center

  - See schedule:
    http://www.nvidia.com/docs/IO/100133/SC10_Theater_Schedule_for_Web_11_1_10.pdf
CUDA CALENDAR
November 2010

– Develop Linear Algebra Software for GPUs (webinar) - GPUComputing.net
Nov. 3, 10:00 a.m. central
Presented by: Dr. Jack Dongarra, University of Tennessee
http://www.gpucomputing.net/?q=node/2441

– Analytics & Risk Technology in Finance - Wolfram Research
Nov. 4, London
http://www.wolfram.com/events/finance2010/details.html

– NEW: Beginner CUDA Course - SagivTech
Nov. 7-9, Ramat Gan, Israel
www.sagivtech.com/24054.html

– Debugging GPUs (webinar) - Allinea Software
Nov. 10
Contact: sales@alinea.com

– Supercomputing 2010 (SC10)
Nov. 13-19, New Orleans
The NVIDIA GPU Computing Theater at SC10 will feature talks by industry luminaries, scientists and developers. All conference attendees are invited to participate.
www.nvidia.com/object/sc10.html

– GPU Programming with CUDA Fortran, CUDA C, PGI Accelerator - PGI (at SC10)
Nov. 15, New Orleans (by Michael Wolfe, PGI)
www.pgroup.com/support/tutorial_outline.htm

– NEW: Paving the Road to Exascale - Mellanox (at SC10)
Nov. 17, 7:00 p.m., New Orleans
http://www.mellanox.com/sc10_event/index.php

– Advanced GPU Supercomputing for High-Frequency Trading
Nov. 15-17, New York (by Andrew Sheppard)
http://ajtsheppard.wordpress.com

– NEW: Accelerating Matlab with the GPU - SagivTech & Systematics
Nov. 16 & Nov. 17 (two complimentary half-day workshops), Ramat Gan, Israel
www.sagivtech.com/21262.html

– Training from CAPS
Nov. 23-25, Rennes, France
www.caps-entreprise.com

– Improve Time to Debug (webinar) - Allinea Software
Nov. 24-25
Contact: sales@alinea.com

– MATLAB Expo
Nov. 26, Tokyo
http://matlabexpo.com

– Call for Papers - IEEE/ACM Intl. Symposium on Cluster, Cloud and Grid Computing
Papers deadline: Nov. 30
http://www.ics.uci.edu/~ccgrid11/

December 2010

– CUDA and Advanced Image Processing - SagivTech
Dec. 12-14, Ramat Gan, Israel
www.sagivtech.com/24054.html

– NEW: UK GPU Computing Conference - Univ. of Cambridge
Dec. 13-14, Cambridge, UK
http://www.many-core.group.cam.ac.uk/ukgpucc2/

– SIGGRAPH Asia
Dec. 16-18, Seoul
www.siggraph.org/asia2010

2011

– Scientific Computing in the Americas: The Challenge of Massive Parallelism
Jan. 3-14, 2011, Valparaiso, Chile
www.bu.edu/pasi

– IEEE International Parallel & Distributed Processing Symposium
May 16-20, 2011, Anchorage
www.ipdps.org

Ongoing
– CUDA Certification: www.nvidia.com/certification
– GPU Computing Webinars: www.nvidia.com/webinars
– Training from EMPhotonics: www.emphotonics.com/services/cuda-training

(To list an event, email: cuda_week_in_review@nvidia.com)
CUDA RESOURCES
GPU Technology Conference
– See presentations and keynotes from GTC 2010: www.nvidia.com/gtc
CUDA GPUs
– See list of CUDA-enabled GPUs: www.nvidia.com/object/cuda_gpus.html
CUDA and Parallel Nsight Overview
– See blog post and video: http://is.gd/gbGen
CUDA Downloads
– Download CUDA Toolkit 3.2: http://bit.ly/aKCENp
– Download OpenCL v1.1 pre-release drivers and SDK code samples (Log in or
   apply for an account)
– Get developer guides and docs: http://developer.nvidia.com/object/gpucomputing.html
CUDA and Academia
– Learn more at http://research.nvidia.com/
CUDA on the Web
– Read previous issues of CUDA: Week in Review: http://is.gd/cBXbg
– Follow CUDA & GPU Computing on Twitter: www.twitter.com/gpucomputing
– Network with other developers: www.gpucomputing.net
– Stayed tuned to GPGPU news and events: www.gpgpu.org
– Learn more about CUDA on CUDA Zone: www.nvidia.com/cuda
– Read Kudos for CUDA: http://www.hpcwire.com/features/Kudos-for-CUDA-97889444.html
– Read Supercomputing for the Masses, Part 20: http://is.gd/f9o6o
About CUDA
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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