I wonder if the techniques machine learning could be adapted to e@h data analysis?
And if we could get them to run on individual machines.
Tom M
A Proud member of the O.F.A. (Old Farts Association). Be well, do good work, and keep in touch.® (Garrison Keillor) I want some more patience. RIGHT NOW!
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Tom M wrote: I wonder if the
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Be careful what you wish for. Based on the AI/ML tasks at GPUGrid, that type of task puts a very large load on the host resources. Pretty much means only Einstein running on the host to get them to run well.
Keith, I get that but all
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Keith,
I get that but all the other reading/news feeds I have read seem to claim either gpus in general or specialized ml accelerators are responsible for the improvements in ai/ml processing speed.
I don't understand the details of either to offer more than a wonder...
I read about massive speed ups in machine learning because of the use of integers on the gpus.
So what I may be wondering is can machine learning help FFT (fast Fourier transforms) in data analysis.
But that could be too specific.
Tom M
A Proud member of the O.F.A. (Old Farts Association). Be well, do good work, and keep in touch.® (Garrison Keillor) I want some more patience. RIGHT NOW!
https://iphysresearch.github.
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https://iphysresearch.github.io/Survey4GWML/
A Proud member of the O.F.A. (Old Farts Association). Be well, do good work, and keep in touch.® (Garrison Keillor) I want some more patience. RIGHT NOW!