Comments (5)
Rumor has it that the folks who built python-paillier are about to release a CUDA version
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@samsontmr this one could be split into sub-tasks too based on the underlying architecture (C, Blas, and CUDA tickets)
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just a few inputs:
-
the existing
phe
Python lib uses GMP underneath (when available:
https://github.com/n1analytics/python-paillier/blob/master/phe/util.py#L50) so the performance is already quite good -
I am not too optimistic about how much boost we'd get from using GPUs; my best guess is that a gain will most likely only show when dealing with several ciphertexts in parallel (to eg encrypt vectors)
-
a (Python) lib where the encoding is decoupled from encryption would indeed be useful; the overflow detection built in
phe
can sometimes get a bit in the way
based on this it would seem reasonable to me to go with phe
for now, and give this re-implementation task a somewhat low priority
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@mortendahl given your feedback I'm inclined to agree.
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assigned it to Lithium milestone (our latest one yet laid out), and it'll be a low priority there as well :)
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