Heterogeneous Computer Architectures: An Image Processing Pipeline for Optical Metrology

Reichenbach M, Seidler R, Fey D (2012)

Publication Type: Conference contribution

Publication year: 2012

Edited Volumes: 2012 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2012

Pages Range: 1-8

Conference Proceedings Title: Proceedings of ReConFig' 12

Event location: Cancun, Mexico

ISBN: 978-1-4673-2920-0

DOI: 10.1109/ReConFig.2012.6416755


Industrial image processing tasks, especially in the domain of optical metrology, are becoming more and more complex. While in the recent years standard PC components were sufficient to fulfill the requirements, special architectures have to be used to build up high speed image processing systems today. For example for adaptive optical systems in large scale telescopes, the latency between capturing an image and steering the mirrors is critical for the quality of the resulting images. Commonly, the applied image processing algorithms consist of several tasks with different granularities and complexities. Therefore, we combined the advantages of multicore CPUs, GPUs, and FPGAs to build up a heterogeneous image processing pipeline for adaptive optical systems. Each used architecture is well-suited to solve a particular task efficiently. With the developed pipeline it is possible to achieve a high throughput and to reduce the latency of the whole steering system significantly. © 2012 IEEE.

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How to cite


Reichenbach, M., Seidler, R., & Fey, D. (2012). Heterogeneous Computer Architectures: An Image Processing Pipeline for Optical Metrology. In Proceedings of ReConFig' 12 (pp. 1-8). Cancun, Mexico.


Reichenbach, Marc, Ralf Seidler, and Dietmar Fey. "Heterogeneous Computer Architectures: An Image Processing Pipeline for Optical Metrology." Proceedings of the 2012 International Conference on ReConFigurable Computing and FPGAs, Cancun, Mexico 2012. 1-8.

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