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All posts tagged "cuda"


Monday, October 31, 2011

A Q&A With Intel Canada on Sandy Bridge's QuickSync Feature

Posted by Jason Dunn in "Digital Home Talk" @ 09:00 AM

Intel's second generation Core i-series processors, referred to by us geeks as "Sandy Bridge CPUs", brought with them a significant boost in overall processing power. What really got me curious though was Intel's QuickSync technology. Intel has a page on their Web site that talks about this technology, but I wanted to dig deeper so I reached out to Intel Canada and Joe Ellis, Market Development Manager for Intel Canada, responded.

DHT: A key feature in the second generation of Intel Core processors, known as Sandy Bridge CPUs in the tech circles, is the inclusion of an on-chip graphics processor. One of the benefits of this integration is Intel's Quick Sync video technology. Can you describe what Quick Sync technology is and how it works? Why is it better that a straight CPU-based video encode?

ELLIS: "Intel Quick Sync Video has often been described as "hardware acceleration" technology built into 2nd Gen Intel Core processors. This is partially correct. Traditional hardware acceleration has been enabled through software optimizations for general-purpose CPU resources otherwise shared with multiple PC functions. This approach was widely adopted with the first MMX instruction set in 1995, and resulted in much faster multimedia rendering and playback times - though often at the expense of other computing functions waiting for those same computing resources. Subsequent Intel CPU generations introduced ever more powerful instructions and architectural advancements to accelerate a variety of parallel tasks, but always using processor resources common to every task." Read more...


Thursday, June 18, 2009

ATI Stream Finally Launched To Combat Cuda

Posted by Hooch Tan in "Digital Home News" @ 02:00 PM

http://www.tomshardware.com/reviews...gpgpu,2335.html

"The idea with GPU computing is to take highly parallelized tasks typically run in the CPU and offload them to the GPU, where they can run more quickly and efficiently. Programmable shaders are exceptionally well-suited for floating point-intensive tasks. Each shader operates as its own sort of processor core, so instead of having four or eight threads crunching on a parallelized task in the CPU, you could have 64 or 320 or however many stream processors tackling the same work in the GPU."

It took nearly two years for AMD to come out with a response to NVidia's CUDA platform and even at that, when ATI Stream was first released it was severely limited. AMD has finally released an update that puts ATI Stream much more in line with the competition. Toms Hardware takes the update for a spin and finds that there are still a few parts that need polishing. It's great to see GPUs getting more use since their parallel processing capabilities are astounding, CUDA still seems to have a considerable edge for varying applications which along with video and image processing can also do things such as PhysX.


Wednesday, March 25, 2009

NVIDIA CUDA Shows Practical Use

Posted by Hooch Tan in "Digital Home News" @ 08:30 AM

http://www.notebooks.com/2009/03/24...eo-enhancement/

"When NVIDIA went to a driver model that allowed consumers to update their notebook graphics drivers direct from NVIDIA, we enabled millions of notebook users to enjoy the benefits of our CUDA parallel computing architecture. One application that was released today that is a great example of how CUDA makes life better is vReveal from MotionDSP."

Up until now, most of what I had seen CUDA used for was enabling PhysX effects in gaming. This made sense since most computers with powerful (read: non-integrated) GPUs would be used for gaming at some point. This is the first use I've seen that makes CUDA more useful for your typical consumer. vReveal magically improves the quality, clarity and brightness of your videos. Instead of using traditional filters you would find in Photoshop or GIMP to do this, it takes the data from several frames to smooth and improve the current frame. If you watch the videos on the notebooks.com site, the effects can be quite dramatic. Getting back to CUDA, vReveal can technically run on any computer, but those with NVIDIA GPUs can see a several fold increase in speed because of CUDA. Unfortunately for most people who already have a laptop or desktop, I'm willing to bet its got an Intel integrated GPU. If you do a lot of video processing, this may just be the reason you need to get a new computer! That's a good reason, isn't it?


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