Title :
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
fDate :
Nov. 30 2011-Dec. 2 2011
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;
Conference_Titel :
Reconfigurable Computing and FPGAs (ReConFig), 2011 International Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4577-1734-5
DOI :
10.1109/ReConFig.2011.45
