GPU vs FPGA: Example Application on White Light Interferometry

Author

Pacholik, A. ; Müller, M. ; Fengler, W. ; Machleidt, T. ; Franke, K.-H.

Author_Institution

Comput. Archit. & Embedded Syst. Group, Ilmenau Univ. of Technol., Ilmenau, Germany

fYear

2011

fDate

Nov. 30 2011-Dec. 2 2011

Firstpage

481

Lastpage

486

Abstract

High performance image processing applications area challenging field when targeting embedded processing. Field programmable gate arrays (FPGA) receive a growing interest as implementation platforms, but these solutions have to compete with the state of the art in image processing, which is codefined by graphics processing units (GPU). This paper provides a case study which analyzes the potential of embedded or hybrid implementation on FPGA and GPU for image stack processing in a white light interferometry (WLI) application.

Keywords

field programmable gate arrays; graphics processing units; image processing; light interferometry; FPGA; GPU; field programmable gate arrays; graphics processing units; image stack processing; white light interferometry application; Bandwidth; Demodulation; Field programmable gate arrays; Graphics processing unit; Hardware; Image resolution; Throughput; FPGA vs. GPU; case study; high speed; industrial image processing; real time; white light interferometry;

fLanguage

English

Publisher

ieee

Conference_Titel

Reconfigurable Computing and FPGAs (ReConFig), 2011 International Conference on

Conference_Location

Cancun

Print_ISBN

978-1-4577-1734-5

Type

conf

DOI

10.1109/ReConFig.2011.45

Filename

6128623