• DocumentCode
    3074749
  • Title

    A reconfigurable simulator for large-scale heterogeneous multicore architectures

  • Author

    Meng, Jiayuan ; Skadron, Kevin

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Virginia, Charlottesville, VA, USA
  • fYear
    2011
  • fDate
    10-12 April 2011
  • Firstpage
    119
  • Lastpage
    120
  • Abstract
    Future general purpose architectures will scale to hundreds of cores. In order to accommodate both latency-oriented and throughput-oriented workloads, the system is likely to present a heterogeneous mix of cores. In particular, sequential code can achieve peak performance with an out-of-order core while parallel code achieves peak throughput over a set of simple, in-order (10) or single-instruction, multiple-data (SIMD) cores. These large-scale, heterogeneous architectures form a prohibitively large design space, including not just the mix of cores, but also the memory hierarchy, coherence protocol, and on-chip network (OCN). Because of the abundance of potential architectures, an easily reconfigurable multicore simulator is needed to explore the large design space. We build a reconfigurable multicore simulator based on M5, an event-driven simulator originally targeting a network of processors.
  • Keywords
    multiprocessing systems; network-on-chip; parallel architectures; storage management; SIMD; coherence protocol; event-driven simulator; large-scale heterogeneous architecture; large-scale heterogeneous multicore architecture; latency-oriented workload; memory hierarchy; on-chip network; parallel code; processor network; reconfigurable multicore simulator; reconfigurable simulator; sequential code; single-instruction multiple-data cores; throughput-oriented workload; Benchmark testing; Graphics processing unit; Hardware; Multicore processing; Out of order;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Performance Analysis of Systems and Software (ISPASS), 2011 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-61284-367-4
  • Electronic_ISBN
    978-1-61284-368-1
  • Type

    conf

  • DOI
    10.1109/ISPASS.2011.5762722
  • Filename
    5762722