On Thu, 2016-03-10 at 08:15 +0000, Bert Vandereydt wrote:
Dear mr Rybak,
I am an aerospace engineering student at the University of Technology
At the moment, I am working with eight fellow students on an image
processing platform (TIPP) for the university.
We are working specifically on analysis of 3D shape reconstruction
with fringe projection technique. For this we are making a python
program, which can in a way transform pictures into point clouds.
In this program there are two matrix equations which have to be run
twice for each pixel, all of these pixels are independent of each
other. For this we think PyOpenCL would vastly improve the speed of
Because we are a group of nine aerospace engineering students, trying
to understand PyOpenCL is difficult. And because this program will be
on the platform for years to come, we want it to run as best as
Therefore I am writing this email. Is it possible, when our program
is written, to ask you for advise regarding GPU optimisation?
We would really appreciate any help you can provide.
Sorry for writing response so late.
I'm glad that you are finding PyOpenCL useful.
I believe the best for you is to subscribe to PyOpenCL mailing list
(in CC) - there are many people developing and using PyOpenCL who
should be able to help you.
I'm just maintaining Debian packages for PyOpenCL (and PyCUDA) and
not using PyOpenCL every day. While I might be able to help if
you have problems with packages, I am not the best person for
Tomasz Rybak, Debian Maintainer <tomasz.rybak(a)post.pl>
GPG: A481 824E 7DD3 9C0E C40A 488E C654 FB33 2AD5 9860