[Numpy-discussion] low level optimization in NumPy and minivect
Dag Sverre Seljebotn
d.s.seljebotn at astro.uio.no
Wed Jun 26 04:05:11 EDT 2013
On 06/25/2013 04:21 PM, Frédéric Bastien wrote:
> I wasn't able to attend this year Scipy Conference. My tutorial proposal
> was rejected and other deadline intefered with this conference date.
> Will the presentation be recorded? If not, can you make the slide available?
> What is your opinion on this question:
> - Should other lib like NumPy/Theano/Cython/Numba base their elemwise
> implemention (or part of it) on dynd or minivect? I know cython and
> Numba do it, but it was before dynd and I don't know where dynd fit in
> the big picture. Do dynd reuse minivect itself?
Actually, I think the Cython branch with minivect support was in the end
not merged, due to lack of interest/manpower to maintain support for
vectorization in the long term (so it was better to not add the feature
than have a badly supported feature).
My understanding is that Numba is based on minivect and not on dynd, so
it's more of a competitor.
Perhaps Mark Florisson will be able to comment.
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