The performance comparison of the DMA subsystem of the Zynq SoC in bare metal and Linux applications

• Autorzy: Fularz M. , Pieczyński D. , Kraft M.
• Języki publikacji: EN

Abstrakty

EN

The paper presents results of comparison of the direct memory access (DMA) performance in a Zynq SoC based system working in a bare metal configuration and running the Linux operating system (OS). The overhead introduced by the driver and software components of the Linux OS is evaluated and analyzed. The evaluation is performed on a real life video processing usage scenario involving transfers of significant portions of data to- and from the memory.

Słowa kluczowe

EN

FPGA; image processing; hardware accelerator; smart camera; operating system

• Wydawca: Wydawnictwo PAK
• Czasopismo: Measurement Automation Monitoring
• Rocznik: 2017
• Tom: Vol. 63, No. 5
• Strony: 189--191
• Opis fizyczny: Bibliogr. 9 poz., rys., tab., wykr.

Twórcy

autor

Fularz M.

• Poznan University of Technology, Faculty of Electrical Engineering, Institute of Control and Information Engineering 3a Piotrowo St., 60-965 Poznan, Poland

autor

Pieczyński D.

• Poznan University of Technology, Faculty of Electrical Engineering, Institute of Control and Information Engineering 3a Piotrowo St., 60-965 Poznan, Poland

autor

Kraft M.

• Poznan University of Technology, Faculty of Electrical Engineering, Institute of Control and Information Engineering 3a Piotrowo St., 60-965 Poznan, Poland

Bibliografia

• [1] Rajagopalan V., Boppana V., Dutta S., Taylor B., Wittig R.: Xilinx Zynq-7000 EPP: An extensible processing platform family, 2011 IEEE Hot Chips 23 Symposium (HCS), Stanford, CA, pp. 1-24, 2011.
• [2] Choudhary A., Chavda J. B., Ganatra A. P., Nayak R. J.: Performance evaluation PL330 DMA controller for bulk data transfer in Zynq SoC. 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), Bangalore, pp. 1811-1815, 2016.
• [3] Fularz M., Kraft M., Schmidt A., Kasiński A.: The Architecture of an Embedded Smart Camera for Intelligent Inspection and Surveillance. Advances in Intelligent Systems and Computing, vol. 350, pp. 43-52, 2015.
• [4] Fularz M., Kraft M., Schmidt A., Kasiński A.: A high-performance FPGA-based image feature detector and matcher based on the fast and brief algorithms. International Journal of Advanced Robotic Systems vol. 12, issue 10. 2015.
• [5] Kraft M., Tomaczyński J., Mańkowski T., Fularz M.: An FPGA-based proof of concept solution for datacenter energy efficiency improvement, Measurement Automation Monitoring, vol. 62, no. 5, pp. 160-162, 2016.
• [6] McFarlane N., Schofield C.: Segmentation and tracking of piglets in images. Machine Vision and Applications, vol. 8, pp. 187-193, 1995.
• [7] Brutzer S., Hoferlin B., Heidemann G.: Evaluation of background subtraction techniques for video surveillance. 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), , pp. 1937-1944, 2011.
• [8] Amer A.: Memory-based spatio-temporal real-time object segmentation for video surveillance, Proceedings of SPIE-IS&T Electronic Imaging Conference on Real-Time Imaging, pp. 10-21, 2003.
• [9] https://github.com/PUTvision/AXIControllerLibrary

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).