Sorry! That isAOHDR (Always on High Dynamic Range;-)

greg
~krsnadas.org

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from: greg heil [email protected]
to: Chat forum <[email protected]>
date: 28 February 2014 08:29
subject: Re: [Jchat] Parallel Processing for J

>One does not have to wait for the K! (6th generation if Nvidea processors) gen 
>4 and 4i are here, now! For $199 you can have 72 GPUs in an Android tablet 
>from ~newegg.

>It is also, eg, programmed with AOHD (Always on High Definition). Presumably 
>they are fast enough that one can do ~Frankencamera_lite sorts of things with 
>them:-)

---~
http://www.newegg.com/Product/Product.aspx?Item=34-099-001&SortField=1&SummaryType=0&Pagesize=100&PurchaseMark=&SelectedRating=-1&VideoOnlyMark=False&VendorMark=&IsFeedbackTab=true&Keywords=%28keywords%29#scrollFullInfo
http://u.tgu.ca/Frankencamera_lite

greg
~krsnadas.org

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from: Devon McCormick [email protected]
to: Chat forum <[email protected]>
date: 28 February 2014 07:36
subject: Re: [Jchat] Parallel Processing for J

Skip -

>you're right that GPUs offer tantalizing possibilities for J.  I made sure to 
>have an nVidia processor in the last PC I bought - the (C++-based) demos are 
>very impressive.  However, I have yet to grapple with learning enough about 
>the CUDA libraries to think about how to integrate them into J.

I'll take a look at those videos.

Regards,
Devon

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from: Skip Cave [email protected]
to: Chat forum <[email protected]>
date: 28 February 2014 00:34
subject: [Jchat] Parallel Processing for J

>I participated in an ACM webinar today presented by nVidia, where they covered 
>their latest multiprocessor "accelerator" GPU chip, the Tegra 
>K1<http://bit.ly/1mJYL5O>. The K1 has 192 CUDA parallel cores as well as four 
>ARM-15 cores. It is designed to be used in cellphones, so it uses very low 
>power. The webinar link is at: http://bit.ly/1cq6E6E I would recommend taking 
>a look at the presentation, as it shows just how far we have come in putting 
>serious multiprocessing power in the hands of the masses

>nVidia claims the architecture is being used in various "green" 
>supercomputers, running models of Molecular Dynamics, Quantum Chemistry, 
>Material Science, Weather & Climate, Lattice QCD, Plasma Physics, Structural 
>Mechanics, and Fluid Dynamics. They claim that they have built compilers and 
>interpreters for their multiprocessing architecture in Fortran, C, C++, Pyton, 
>and F#, which will make it easy for programmers to distribute processing load 
>across the array of CUDA cores in the K1, as well as the four ARM processors.

>I always felt that the primitives in J define a powerful and general set of 
>array operations that could benefit from a parallel processing architecture. 
>The nVidia processors will be showing up in cellphones in the near future. It 
>would be interesting to see if J could take advantage of the amazing parallel 
>processing power of these chips - a supercomputer in your pocket.

Skip.
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