On Sunday, 8 November 2015 at 18:06:00 UTC, TheFlyingFiddle wrote:
On Sunday, 8 November 2015 at 17:47:33 UTC, Muktabh wrote:
We cannot make D bindings to it because it is a closed source
project by Google and only a spec like mapreduce will be
released, so I thought maybe I might try and come up with an
open source implementation. I was just curious if D would be a
good choice language for a library like this instead of C++
which is used by Google.
Well, if you are going to write it yourself i see no reason why
D would be any worse a language the C++. You can get the same
speed, interface with the GPU in pretty much the same way etc.
You could probably do a lot in compile time to simplify writing
kernels in D. From my point of view D is simpler than C++
as-well so that should help implementation. (no headers, sane
meta programming etc.)
It does seem to be a huge undertaking however since tensorflow
seems to be a very complex library. But if you feel confident
in this domain then I would say go for it. It would be very
cool to have something like this in D.
Thanks for your answer.
It is a huge task and I am not going to achieve it all alone
myself. I will start it alone but if my startup (which works on
Deep Learning) scales up, we might work on it as a team.
