[Numpy-discussion] Introductory mail and GSoc Project "Vector math library integration"
sturla.molden at gmail.com
Wed Mar 11 10:22:43 EDT 2015
There are several vector math libraries NumPy could use, e.g. MKL/VML,
Apple Accelerate (vecLib), ACML, and probably others.
They all suffer from requiring dense arrays and specific array
alignments, whereas NumPy arrays have very flexible strides and flexible
alignment. NumPy also has ufuncs and gufuncs as a complicating factor.
There are at least two ways to proceed here. One is to only use vector
math when strides and alignment allow it. The other is to build a vector
math library specifically for NumPy arrays and (g)ufuncs. The latter you
will most likely not be able to do in a summer.
You should also consider Numba and Numexpr. They have some support for
vector math libraries too.
On 08/03/15 21:47, Dp Docs wrote:
> 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.
> My IRCnickname: dp
> Real Name: Durgesh Pandey.
More information about the NumPy-Discussion