[Numpy-discussion] GSoC : Performance parity between numpy arrays and Python scalars
Charles R Harris
charlesr.harris at gmail.com
Wed May 1 23:28:45 EDT 2013
On Tue, Apr 30, 2013 at 8:26 PM, Arink Verma <arinkverma at iitrpr.ac.in>wrote:
> Hi all!
> I have written my application for *Performance parity between numpy
> arrays and Python scalars. *It would be a great help if you view it.
> Does it look achievable and deliverable according to the project.
>  http://projects.scipy.org/scipy/wiki/SummerofCodeIdeas
Have you already done some profiling? That could be tricky at the C level.
I'm also curious about the hash table, what gets hashed and where do you
get the improved efficiency? Admittedly, the way in which ufuncs currently
detect scalars is a bit heavy weight and a fast path for certain inputs
values could help. Is that what you are doing?
As to the schedule, I suspect that it may be a bit ambitious but I don't
see that as fatal by any means. Identifying bottlenecks and experimenting
with solutions would be useful work.
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