On Tue, Apr 30, 2013 at 8:26 PM, Arink Verma <arinkve...@iitrpr.ac.in>wrote:
> Hi all! > I have written my application[1] for *Performance parity between numpy > arrays and Python scalars[2]. *It would be a great help if you view it. > Does it look achievable and deliverable according to the project. > > [1] > http://www.google-melange.com/gsoc/proposal/review/google/gsoc2013/arinkverma/40001# > [2] http://projects.scipy.org/scipy/wiki/SummerofCodeIdeas > > > Hi Arink, 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. Chuck
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