Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I

Research Article

Development of the Embedded Multi Media Card Platform Based on FPGA

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  • @INPROCEEDINGS{10.1007/978-3-319-73564-1_66,
        author={Songyan Liu and Ting Chen and Shangru Wu and Cheng Zhang},
        title={Development of the Embedded Multi Media Card Platform Based on FPGA},
        proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I},
        proceedings_a={MLICOM},
        year={2018},
        month={2},
        keywords={eMMC Zynq Parallelism DMA},
        doi={10.1007/978-3-319-73564-1_66}
    }
    
  • Songyan Liu
    Ting Chen
    Shangru Wu
    Cheng Zhang
    Year: 2018
    Development of the Embedded Multi Media Card Platform Based on FPGA
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-73564-1_66
Songyan Liu1,*, Ting Chen1,*, Shangru Wu1,*, Cheng Zhang1,*
  • 1: Heilongjiang University
*Contact email: liusongyan@hlju.edu.cn, 2151302@s.hlju.edu.cn, 2141258@s.hlju.edu.cn, 2161419@s.hlju.edu.cn

Abstract

For the validation of eMMC device performance problems involving the effectiveness of testing and non-real time on parameters controlling, it may not be possible to obtain the performance data flexibly and efficiently, requiring consideration of the multi-channel parallel processing and real-time controlling. This paper presents a development platform for eMMC 5.0 device based on Zynq-7000. By combining hardware and software design, this platform is able to support eight eMMC devices working in parallel and get testing information in real time. Meanwhile, the device driver aims at achieving high performance data transfer by using DMA.