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Wednesday, 9 December 2009

Nvidia GPU computing news!

Posted on 01:47 by Unknown
Hi,
at the registered Nvidia GPU Computing developer site there is a new feature:

cuPrintf allows you to to add printf-equivalent cuPrintf calls to your
CUDA C code.


In addition to the readme and the license agreement, the cuPrintf zip file
package includes two files source files: cuPrintf.cuh and cuPrintf.cu.

Drop these files into your source directory or your include path and start
making calls to cuPrintf in your CUDA C code.

This sample code works on all CUDA-enabled GPUs.

This cuPrintf code works significantly better on GPUs with SM arch 1.1 and
later, so always build your code with “-arch=sm_11� or higher if possible.

This cuPrintf code should work with CUDA 2.3 or newer, and is supported on
all platforms on which the CUDA Toolkit is supported.

I also have recieved this mail regarding new SC09 Nvidia site:

At the SC09 conference and exhibition in Portland‚ NVIDIA® showcased the latest research and trends in GPU computing in a full–day CUDA tutorial‚ the GPU computing poster showcase‚ and in its GPU Computing Theater.

Presentations and recordings presented by NVIDIA are now available for download at www.nvidia.com/sc09 including:

Presentation for the full-day tutorial on “High Performance Computing with CUDA” (http://www.nvidia.com/object/SC09_Tutorial.html)
Presentations from the GPU Computing Theater by computational researchers and industry luminaries such as
Jack Dongarra‚ University of Tennessee
Jeff Vetter‚ Oak Ridge National Laboratory
Satoshi Matsuoka‚ Tokyo Institute of Technology
Pat McCornick‚ Los Alamos National Laboratory
Paul Crozier‚ Sandia National Laboratories
Ross Walker‚ San Diego Supercomputing Center / UC San Diego
Mike Clark‚ Harvard University
Posters showcasing “what’s next” for GPU computing out of the world of research and academia
Interested in learning how to get priority access to Tesla™ 20–Series GPU computing products based on the Fermi architecture? Find out more about NVIDIA’s Fermi product promotion by visiting www.nvidia.com/madscience.

NVIDIA GPU Computing Team.

Don't forget also this from other posts:

http://www.nvidia.com/object/research_summit_posters.html
You can follow other GPGPU news Nvidia considers worth mentioning at "A Blog about the World of Graphics Processing":
http://blogs.nvidia.com/ntersect/
and at benchmarkreviews site Brian Burke is publishing also recapitulation of news:
NVIDIA nTeresting December update
http://benchmarkreviews.com/index.php?option=com_content&task=view&id=9072&Itemid=47
11/09
http://benchmarkreviews.com/index.php?option=com_content&task=view&id=8725&Itemid=47

Add that to GTC site news:
http://www.nvidia.com/object/gpu_technology_conference.html

And seems we are getting bombarded with GPGPU news!
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