CUDA: Week in Review
Tues., Dec. 7, 2010, Issue #43 - Newsletter Home
WELCOME
Welcome to CUDA: Week in Review, an online news summary for the worldwide CUDA and GPU computing community.
CONTENTS
CUDA SPOTLIGHT
Industry Luminaries Talk About GPU Computing
At SC10, the premier supercomputing conference, NVIDIA hosted presentations by experts from a broad range of computational research areas, including Bill Dally (NVIDIA), Jack Dongarra (University of Tennessee), Satoshi Matsuoka and Takayuki Aoki (Tokyo Institute of Technology), and Jeff Vetter (Oak Ridge National Laboratory).
  - Download presentations here: http://www.nvidia.com/object/sc10_theater.html

Achieving Excellence in 2010
Tech analyst Rob Enderle reflects on 2010, writing: "As the end of the year nears, it’s time to look back at the firms that set positive examples of how to do things right in the technology market. Each of these companies stood out for excellence either in marketing, products or services."
  - See list: http://itmanagement.earthweb.com/features/article.php/3915106/9-Tech-Companies-That-Achieved-Excellence-in-2010.htm
CUDA DEVELOPER NEWS
GPU Computing with .NET
TidePowerd recently released a solution called GPU.NET, which integrates GPU computing support for .NET languages like C# (the .NET framework is a Microsoft programming model). Now you can write GPU kernels in C# and call them like any other .NET-based methods. TidePowerd CEO and co-founder Jack Pappas will present a live webinar about GPU.NET on Wed., Dec. 15 at 9:00 a.m. pacific.
  - Sign up for webinar: https://www2.gotomeeting.com/register/937498250Industry
  - Download the beta: http://www.tidepowerd.com/
  - Discuss on the forums: http://forums.nvidia.com/index.php?showtopic=187106

LIBJACKET: Fast GPU Software Library
AccelerEyes introduced LIBJACKET, a broad and fast C/C++ library for GPU computing. With over 500 C/C++ functions, LIBJACKET represents the largest GPU computing library in the world. This library integrates seamlessly in any application, enabling optimized utilization of CUDA-capable GPUs. LIBJACKET is currently a free beta product.
  - See: www.drdobbs.com/cpp/228400046

Affordable Voice Search: One Step Closer
Last summer we interviewed Ben Jiang, CEO of startup Nexiwave, who told us about using GPUs and CUDA to accelerate voice search in large volumes of multimedia content. We recently learned that Nexiwave has entered into a partnership with UbiCast, a webcast company based in France.
  - Read more in the NVIDIA blog: http://blogs.nvidia.com/2010/12/nexiwave-and-ubicast-partner-on-affordable-audio-search/

REPLAY OF THE WEEK
NEW: Each week we will highlight a session from GTC 2010. Here’s our pick for this week:
  - Mathematica for GPU Programming
    Presented by Ulises Cervantes-Pimentel, Wolfram Research (30 mins.)
    http://www.nvidia.com/object/gtc2010-presentation-archive.html#session2028

CUDA CALENDAR
December 2010

NEW: CUDA 3.2 Toolkit and SDK Update - Webinar
Dec. 9, 9:00 a.m. pacific
https://www2.gotomeeting.com/register/446579451

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

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

NEW: Introduction to GPU.NET - Webinar
Dec. 15, 9:00 a.m. pacific
https://www2.gotomeeting.com/register/937498250

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

NEW: CUDA Workshop - SIGGRAPH Asia
Dec. 16, 9:00 a.m., Room 317B/C, Coex Convention & Exhibition Center, Seoul
Note: Open to all attendees. Presented in English, translated simultaneously to Korean
http://www.siggraph.org/asia2010/content/attendees/cuda-workshop

NEW: Tutorials on GPU Programming - HiPC 2010
Dec. 19-22, Goa, India
www.hipc.org/hipc2010/tutorials.php

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

Intelligent Vehicles Conference - IEEE
June 5-9, 2011, Baden-Baden, Germany
http://www.mrt.uni-karlsruhe.de/iv2011/

Internat'l. Conference on Computer Systems and Applications
June 27-30, 2011, Sharm El-Sheikh, Egypt
http://aiccsa2011.hpcl.gwu.edu/

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