[SciPy-Dev] GSoC 2015 - Vector math library integration for NumPy

[Gregor Thalhammer]

> Am 09.03.2015 um 23:36 schrieb Amine Ilidrissi <ilidrissiamine at gmail.com>:
> 
> Hello everyone,
> 
> 
> Let me introduce myself, my name's Amine Ilidrissi and I'm a computer engineering student in France. I have already used SciPy and NumPy for my projects, both in optimisation and image processing (through OpenCV).
> 
> I saw that SciPy/NumPy were accepted for GSoC 2015 and I got interested in contributing back to the two libraries that helped me so much. I took the time to read the Project Ideas page and I stumbled upon one project that I liked, "Vector math library integration". I have a solid experience of coding in C and a few years of undergraduate math under my belt, so I figured that I could be a good fit for this project. Is there someone in the NumPy community with whom I could discuss this issue further? Julian Taylor for example? He's listed as a potential mentor but I can't figure out how to contact him.
> 
> 
> Thanks in advance for replying.
> Cheers!
> Amine

Hi Amine,

years ago I worked on using the Intel MKL/VML library to speed up numpy, see https://github.com/geggo/uvml <https://github.com/geggo/uvml>
and the comments there. Now other vectorized math libraries have emerged, so there are free alternatives to using Intels MKL.

Gregor

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