|Welcome to CUDA: Week in Review, an online news summary for the worldwide CUDA and GPU computing community.
|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.)
– NEW: CUDA 3.2 Toolkit and SDK Update - Webinar
– CUDA and Advanced Image Processing - SagivTech
– UK GPU Computing Conference - Univ. of Cambridge
– NEW: Introduction to GPU.NET - Webinar
– SIGGRAPH Asia
– NEW: CUDA Workshop - SIGGRAPH Asia
– NEW: Tutorials on GPU Programming - HiPC 2010
– Scientific Computing in the Americas: The Challenge of Massive Parallelism
– IEEE International Parallel & Distributed Processing Symposium
– Intelligent Vehicles Conference - IEEE
– Internat'l. Conference on Computer Systems and Applications
(To list an event, email: email@example.com)
|GPU Technology Conference|
– See presentations and keynotes from GTC 2010: www.nvidia.com/gtc
– 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
|– 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
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: firstname.lastname@example.org|
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