Concurrent Execution of For-Loops - Coder Summit 2019
Embedded Coder® generates parallel for-loops from MATLAB files and Simulink models starting in R2019a. This support accelerates code execution using multiple threads using OpenMP.
The examples show a 4.5x improvement for a sum of squared differences (SSD) in an image processing algorithm and a 6x speed improvement for a noise reduction using a median filter example.
This video concludes by showing how generate parallel for-loops.
The examples show a 4.5x improvement for a sum of squared differences (SSD) in an image processing algorithm and a 6x speed improvement for a noise reduction using a median filter example.
This video concludes by showing how generate parallel for-loops.
%206th%20Edition,%20Kindle%20Edition.jpg)
Posts
No comments