<html><head><meta http-equiv="Content-Type" content="text/html charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><br class=""><div><blockquote type="cite" class=""><div class="">Am 09.03.2015 um 23:36 schrieb Amine Ilidrissi <<a href="mailto:ilidrissiamine@gmail.com" class="">ilidrissiamine@gmail.com</a>>:</div><br class="Apple-interchange-newline"><div class=""><div dir="ltr" class="">Hello everyone,<div class=""><br class=""></div><div class=""><br class=""></div><div class="">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).</div><div class=""><br class=""></div><div class="">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.</div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">Thanks in advance for replying.</div><div class="">Cheers!</div><div class="">Amine<br clear="all" class=""></div></div></div></blockquote><br class=""></div><div>Hi Amine,</div><div><br class=""></div><div>years ago I worked on using the Intel MKL/VML library to speed up numpy, see <a href="https://github.com/geggo/uvml" class="">https://github.com/geggo/uvml</a></div><div>and the comments there. Now other vectorized math libraries have emerged, so there are free alternatives to using Intels MKL.</div><div><br class=""></div><div>Gregor</div><br class=""></body></html>