*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://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 <http://u.tgu.ca/Frankencamera_lite>*

*greg*
*~krsnadas.org <http://krsnadas.org>*

*--  *

*from: Devon McCormick [email protected] <[email protected]>*
*to: Chat forum <[email protected] <[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*

*--*

*from: Skip Cave [email protected] <[email protected]>*
*to: Chat forum <[email protected] <[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 <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 <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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