2015-03-08 21:47 GMT+01:00 Dp Docs <sdpa...@gmail.com>: > Hi all, > I am a CS 3rd Undergrad. Student from an Indian Institute (III T). I > believe I am good in Programming languages like C/C++, Python as I > have already done Some Projects using these language as a part of my > academics. I really like Coding (Competitive as well as development). > I really want to get involved in Numpy Development Project and want to > take "Vector math library integration" as a part of my project. I > want to here any idea from your side for this project. > Thanks For your time for reading this email and responding back. >
As Sturla and Gregor suggested, there are quite a few attempts to solve this shortcoming in NumPy. In particular Gregor integrated MKL/VML support in numexpr quite a long time ago, and when combined with my own implementation of pooled threads (behaving better than Intel's implementation in VML), then the thing literally flies: https://github.com/pydata/numexpr/wiki/NumexprMKL numba is also another interesting option and it shows much better compiling times than the integrated compiler in numexpr. You can see a quick comparison about expected performances between numexpr and numba: http://nbviewer.ipython.org/gist/anonymous/4117896 In general, numba wins for small arrays, but numexpr can achieve very good performance for larger ones. I think there are interesting things to discover in both projects, as for example, how they manage memory in order to avoid temporaries or how they deal with unaligned data efficiently. I would advise to look at existing docs and presentations explaining things in more detail too. All in all, I would really love to see such a vector math library support integrated in NumPy because frankly, I don't have bandwidth for maintaining numexpr anymore (and I am afraid that nobody else would jump in this ship ;). Good luck! Francesc > > My IRCnickname: dp > > Real Name: Durgesh Pandey. > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > -- Francesc Alted
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