• DocumentCode
    172622
  • Title

    An exploratory study on system-aided DRAM scaling

  • Author

    Hao Wang ; Tong Zhang

  • Author_Institution
    ECSE Dept., Rensselaer Polytech. Inst. (RPI), Troy, NY, USA
  • fYear
    2014
  • fDate
    18-21 May 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper advocates a system-aided DRAM scaling strategy, where the rationale is to embrace, instead of striving to tackle, the difficulty of storage node aspect ratio (A/R) scaling. In current practice, scaling down of DRAM cell size must be strictly accompanied with proportional scaling up of storage node A/R, in order to maintain the storage node capacitance and hence error-free memory operation. Given the significant difficulty of continuing to scale up storage node A/R, relaxing the strict coupling between DRAM cell size scaling down and storage node A/R scaling up appears to be the natural or even only option. Although it inevitably results in error-prone memory operation, explicitly exposing memory errors to system-level memory controllers is a viable option to ensure data storage integrity and meanwhile keep standard memory interface intact. This leads to a system-aided DRAM scaling paradigm, which conceptually resembles the scaling of NAND flash memory. In this exploratory study, we performed analysis and calculations to estimate error characteristics in the presence of storage node capacitance reduction, and propose a data-dependent error-tolerance approach to reduce the redundancy overhead of system-aided DRAM error mitigation. The results of our cross-layer study show a promising potential of this DRAM scaling paradigm, and we believe that it deserves more thorough and cohesive investigations from the system and circuit/device aspects as a plausible path for future DRAM scaling.
  • Keywords
    DRAM chips; data integrity; error correction codes; error handling; integrated circuit reliability; storage management; A-R scaling; DRAM cell size; ECC; NAND flash memory scaling resemblance; data storage integrity; data-dependent error-tolerance approach; dynamic random-access memory; error correction coding; error estimation; error-free memory operation; memory errors; overhead redundancy reduction; standard memory interface; storage node aspect ratio scaling; storage node capacitance reduction; system-aided DRAM error mitigation; system-aided DRAM scaling strategy; system-level memory controllers; Capacitance; Computer architecture; Encoding; Error correction codes; Microprocessors; Random access memory; Redundancy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Memory Workshop (IMW), 2014 IEEE 6th International
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4799-3594-9
  • Type

    conf

  • DOI
    10.1109/IMW.2014.6849372
  • Filename
    6849372