• DocumentCode
    2845912
  • Title

    Address Compression and Heterogeneous Interconnects for Energy-Efficient High-Performance in Tiled CMPs

  • Author

    Flores, Antonio ; Acacio, Manuel E. ; Aragon, Juan L

  • Author_Institution
    Dept. de Ing. y Tecnol. de Comput., Univ. of Murcia, Murcia
  • fYear
    2008
  • fDate
    9-12 Sept. 2008
  • Firstpage
    295
  • Lastpage
    303
  • Abstract
    Previous studies have shown that the interconnection network of a chip-multiprocessor (CMP) has significant impact on both overall performance and energy consumption. Moreover, wires used in such interconnect can be designed with varying latency, bandwidth and power characteristics. In this work, we present a proposal for performance- and energy-efficient message management in tiled CMPs that combines both address compression with a heterogeneous interconnect. Our proposal consists of applying an address compression scheme that dynamically compresses the addresses within coherence messages allowing for a significant area slack. The arising area can be exploited for wire latency improvement by using a heterogeneous interconnection network comprised of a small set of very-low-latency wires for critical short-messages in addition to baseline wires. Detailed simulations of a 16-core CMP show that our proposal obtains average improvements of 10% in execution time and 38% in the Energy-Delay2 Product of the interconnect.
  • Keywords
    data compression; message passing; multiprocessing systems; multiprocessor interconnection networks; address compression; chip multiprocessor; energy consumption; heterogeneous interconnection network; heterogeneous interconnects; message management; Bandwidth; Computer architecture; Delay; Energy consumption; Energy efficiency; Energy management; Multiprocessor interconnection networks; Network-on-a-chip; Proposals; Wires; Chip-Multiprocessor; Energy-Efficient Architecture; Heterogeneus On-Chip Interconnection Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing, 2008. ICPP '08. 37th International Conference on
  • Conference_Location
    Portland, OR
  • ISSN
    0190-3918
  • Print_ISBN
    978-0-7695-3374-2
  • Electronic_ISBN
    0190-3918
  • Type

    conf

  • DOI
    10.1109/ICPP.2008.33
  • Filename
    4625862