• DocumentCode
    3663941
  • Title

    SLIP: Reducing wire energy in the memory hierarchy

  • Author

    Subhasis Das;Tor M. Aamodt;William J. Dally

  • Author_Institution
    Stanford University, USA
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    349
  • Lastpage
    361
  • Abstract
    Wire energy has become the major contributor to energy in large lower level caches. While wire energy is related to wire latency its costs are exposed differently in the memory hierarchy. We propose Sub-Level Insertion Policy (SLIP), a cache management policy which improves cache energy consumption by increasing the number of accesses from energy efficient locations while simultaneously decreasing intra-level data movement. In SLIP, each cache level is partitioned into several cache sublevels of differing sizes. Then, the recent reuse distance distribution of a line is used to choose an energy-optimized insertion and movement policy for the line. The policy choice is made by a hardware unit that predicts the number of accesses and inter-level movements. Using a full-system simulation including OS interactions and hardware overheads, we show that SLIP saves 35% energy at the L2 and 22% energy at the L3 level and performs 0.75% better than a regular cache hierarchy in a single core system. When configured to include a bypassing policy, SLIP reduces traffic to DRAM by 2.2%. This is achieved at the cost of storing 12b metadata per cache line (2.3% overhead), a 6b policy in the PTE, and 32b distribution metadata for each page in the DRAM (a overhead of 0.1%). Using SLIP in a multiprogrammed system saves 47% LLC energy, and reduces traffic to DRAM by 5.5%.
  • Keywords
    "Program processors","Capacity planning"
  • Publisher
    ieee
  • Conference_Titel
    Computer Architecture (ISCA), 2015 ACM/IEEE 42nd Annual International Symposium on
  • Type

    conf

  • DOI
    10.1145/2749469.2750398
  • Filename
    7284078