his section is an introduction to combined use of Cuda-based parallel
processing, C++, Python and boost::python. We present basic interoperability
recipes and develop building blocks for Cuda-accelerated implementation of
mathematical procedures presented in the section
(
Implementation tools II
) and
tested in the section (
Numerical
analysis
).
|
