• DocumentCode
    643781
  • Title

    An evaluation of the many-core Longtium SP computer system

  • Author

    Qiaoshi Zheng ; Deyuan Gao ; Xiaoya Fan ; Meng Zhang ; Tao Yao ; Limin Han

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Northwestern Polytech. Univ., Xian, China
  • fYear
    2013
  • fDate
    5-8 Aug. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The utilization wall, which lead to the Dark Silicon phenomenon, indicates that the energy efficiency will be the primary constraint in micro-processor architecture design in the near future. Since the stream processing natively has the high energy efficiency feature, we proposed the many-core Longtium stream processor (SP) architecture, which includes a coarsegrained reconfigurable array (CGRA), a simplified star-mesh static NoC and software managed stream memory system. In this paper, we demonstrate the evaluation methodology for Longtium SP. The methodology includes the FPGA prototyping system, baseline processor, software tool-chains, golden model and benchmarks. The FPGA prototyping system show that Longtium SP could averagely speedup the program by 11.6X and improve the energy efficiency by 177X, after taking the chip area into account it still could speedup the program by 5.8X compared to the dual-issue baseline RISC processor.
  • Keywords
    field programmable gate arrays; microprocessor chips; multiprocessing systems; CGRA; Dark Silicon; FPGA prototyping system; RISC processor; baseline processor; coarse grained reconfigurable array; energy efficiency; golden model; manycore Longtium SP computer system; microprocessor architecture design; software tool-chains; star mesh static NoC; stream memory system; stream processing; Benchmark testing; Computer architecture; Computers; Energy efficiency; Kernel; Streaming media; coarse-gained reconfigurable array; computer architecture; high energy efficiency; no-blocking floating-point divider; performance; stream memory sub-system; stream processor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on
  • Conference_Location
    KunMing
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2013.6664101
  • Filename
    6664101