We keep hearing about possible GPU "co-processors" to offload video and conversion tasks. So far it looks like Apple is not going down that path.
Is it practical in any Apple products and what real benefits might it deliver?
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I don't have a dog in this fight. Just curious.
Rocketman
Is it practical in any Apple products and what real benefits might it deliver?
"Whether you are new to GPU computing or have been following the rapid adoption occurring around the world, AccelerEyes is assembling a collection of resources that will help you better understand what can and cannot be done with GPUs and how you can productively get performance from the technology with our Jacket Family of Products! Various companies, organizations and research institutions such as Google, Adobe, BAE Systems, SAIC, LSU, and many more are already using Jacket to accelerate algorithms by leveraging GPU technology.
Our white papers, success stories and reports help with the key issues, concepts, and applications to leverage GPU computing for science and engineering. Our current focus is on enabling users of the M language *- such as MATLAB® – to virtually execute on CUDA capable GPUs from Nvidia."
http://www.accelereyes.com/products?utm_campaign=Accelerate MATLAB performance with GPUs&utm_content
I don't have a dog in this fight. Just curious.
Rocketman