Paper Info
Title
Massively Parallel Implementation of a Fast Resource Efficient White Light Interferometry Algorithm
Abstract
In this paper an implementation of a massively parallel white light interferometry algorithm will be presented. In contrast to more common algorithms it not depends on the fast Fourier transform. Using non-equidistant sampling steps is supported and will occur after compression. The algorithm can be applied to variety of target hardware ranging from embedded implementations with limited resources up to desktop computers and higher. It was invented to use the massively parallel architecture of field-programmable gate arrays (FPGA). The approach was proven on the Xilinx Zynq architecture and an x86 high level language implementation. Major improvements compared to more common solutions was the ability to compress the raw data easily while keeping the accuracy despite the limited hardware resources available. Independent of the height of the raw image stack the reconstruction can be solved in constant time.
Year
DOI
Venue
2018
10.1109/DICTA.2018.8615828
2018 Digital Image Computing: Techniques and Applications (DICTA)
Keywords
Field
DocType
fast Fourier transform,raw image stack,hardware resources,x86 high level language implementation,Xilinx Zynq architecture,field-programmable gate arrays,massively parallel architecture,embedded implementations,nonequidistant sampling steps,massively parallel white light interferometry algorithm,fast resource efficient white light interferometry algorithm,parallel implementation
x86,Computer science,Massively parallel,Field-programmable gate array,Algorithm,Implementation,Fast Fourier transform,Ranging,High-level programming language,White light interferometry
Conference
ISBN
Citations 
PageRank 
978-1-5386-6603-6
0
0.34
References 
Authors
5
3
Name
Order
Citations
PageRank
Tobias Scholz100.34
maik rosenberger213.33
Gunther Notni38115.10