• DocumentCode
    719528
  • Title

    An Analytical Model of eMMC Key Performance Indicators

  • Author

    Amato, Paolo ; Caraccio, Danilo ; Confalonieri, Emanuele ; Sforzin, Marco

  • Author_Institution
    Micron Technol. Inc., Vimercate, Italy
  • fYear
    2015
  • fDate
    17-20 May 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Embedded Multi Media Card (eMMC) has become the mainstream embedded storage system for mobile devices like Smartphones and Tablets and it is gaining traction in other products (e.g. Wearables) and segments (e.g. Automotive). eMMC devices are complex embedded systems that include one or more Flash NAND chips and a microcontroller with a specific Firmware (FW). Estimating eMMC key performance indicators (KPIs) since the early stage of the product definition is paramount to identify potential gaps, and give prompt feedbacks to development teams. In this paper a sound theoretical framework for estimating eMMC system metrics is introduced. The mathematical model takes into account the most relevant architectural parameters of NANDs, microcontroller and FW.
  • Keywords
    NAND circuits; embedded systems; firmware; flash memories; microcontrollers; smart cards; KPI; complex embedded systems; eMMC devices; eMMC key performance indicators; eMMC system metrics; embedded multi media card; firmware; flash NAND chips; mainstream embedded storage system; microcontroller; mobile devices; Analytical models; Flash memories; Mathematical model; Microcontrollers; Microprogramming; Performance evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Memory Workshop (IMW), 2015 IEEE International
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    978-1-4673-6931-2
  • Type

    conf

  • DOI
    10.1109/IMW.2015.7150276
  • Filename
    7150276