A Speed-Up Study for a Parallelized White Light Interferometry Preprocessing Algorithm on a Virtual Embedded Multiprocessor System

Abstract

Parallel computing has been aniche for scientific research in academia for decades. However, as common industrial applications become more and more performance demanding and raising the clock frequencyofconventional single-core systems is hardly an option due to reaching technological limitations, efficient use of (embedded) multi-core CPUs and many-core platforms has become imperative.3 Ds urface analysis of objects using the white light interferometry presents one of such challenging applications. The goal in this article is to get an impression which speed-up for an established and parallelized white light interferometry preprocessing algorithm, called Contrast Method,i spossible on an embedded system that works without anyoperating system. Therefore, we decided to use avirtual environment that is able to simulate embedded multi-core as well as many-core systems and that enables running real application code on the designed system. The results show, that asignificant speed-up is possible when using amany-core platform, instead of adesign that only implements one single core, if the algorithm is parallelized for getting full advantage of the manycore design. Furthermore, an acceptable absolute run time is achievable.