• DocumentCode
    619582
  • Title

    SSDM: Smart Stack Data Management for software managed multicores (SMMs)

  • Author

    Jing Lu ; Ke Bai ; Shrivastava, Ashish

  • Author_Institution
    Compiler Microarchitecture Lab., Arizona State Univ., Tempe, AZ, USA
  • fYear
    2013
  • fDate
    May 29 2013-June 7 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Software Managed Multicore (SMM) architectures have been proposed as a solution for scaling the memory architecture. In an SMM architecture, there are no caches, and each core has only a local scratchpad memory. If all the code and data of the task to be executed on an SMM core cannot fit on the local memory, then data must be managed explicitly in the program through DMA instructions. While all code and data need to be managed, an efficient technique to manage stack data is of utmost importance since an average of 64% of all accesses may be to stack variables [16]. In this paper, we formulate the problem of stack data management optimization on an SMM core. We then develop both an ILP and a heuristic - SSDM (Smart Stack Data Management) to find out where to insert stack data management calls in the program. Experimental results demonstrate SSDM can reduce the overhead by 13X over the state-of-the-art stack data management technique [10].
  • Keywords
    digital storage; microprocessor chips; multiprocessing systems; DMA instructions; SSDM; smart stack data management; software managed multicores; Benchmark testing; Libraries; Memory architecture; Memory management; Multicore processing; Software; SPM; Stack data; embedded systems; local memory; multi-core processor; scratchpad memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference (DAC), 2013 50th ACM/EDAC/IEEE
  • Conference_Location
    Austin, TX
  • ISSN
    0738-100X
  • Type

    conf

  • Filename
    6560742