Conference contribution


Hardware Design and Analysis of Efficient Loop Coarsening and Border Handling for Image Processing


Publication Details
Author(s): Özkan MA, Reiche O, Hannig F, Teich J
Publication year: 2017
Conference Proceedings Title: 28th Annual IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP)
Pages range: 155-163
ISBN: 978-1-5090-4825-0
ISSN: 2160-052X

Event details
Event: 28th Annual IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP)
Event location: Seattle
Start date of the event: 10/07/2017
End date of the event: 12/07/2017

Abstract
Field Programmable Gate Arrays (FPGAs) excel at the implementation of local operators in terms of throughput per energy since the off-chip communication can be reduced with an application-specific on-chip memory configuration. Furthermore, data-level parallelism can efficiently be exploited through so-called loop coarsening, which processes multiple horizontal pixels simultaneously. Moreover, existing solutions for proper border handling in hardware show considerable resource overheads. In this paper, we first propose novel architectures for image border handling and loop coarsening, which can significantly reduce area. Second, we present a systematic analysis of these architectures including the formulation of analytical models for their area usage. Based on these models, we provide an algorithm for suggesting the most efficient hardware architecture for a given specification. Finally, we evaluate several implementations of our proposed architectures obtained through Vivado High-Level Synthesis (HLS). The synthesis results show that the proposed coarsening architecture uses 32% less registers for a 5-by-5 convolution with a 64 coarsening factor compared to previous works, whereas the proposed border handling architectures facilitate a decrease in the Look-up Table (LUT) usage by 36%.


How to cite
APA: Özkan, M.A., Reiche, O., Hannig, F., & Teich, J. (2017). Hardware Design and Analysis of Efficient Loop Coarsening and Border Handling for Image Processing. In 28th Annual IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP) (pp. 155-163). Seattle, US.

MLA: Özkan, Mehmet Akif, et al. "Hardware Design and Analysis of Efficient Loop Coarsening and Border Handling for Image Processing." Proceedings of the 28th Annual IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), Seattle 2017. 155-163.

BibTeX: Download
Share link
Last updated on 2017-09-21 at 03:57
PDF downloaded successfully