• DocumentCode
    2792225
  • Title

    Experimental Evaluation of Emerging Multi-core Architectures

  • Author

    Kayi, Abdullah ; Yao, Yiyi ; El-Ghazawi, Tarek ; Newby, Greg

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC
  • fYear
    2007
  • fDate
    26-30 March 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The trend of increasing speed and complexity in the single-core processor as stated in the Moore´s law is facing practical challenges. As a result, the multi-core processor architecture has emerged as the dominant architecture for both desktop and high-performance systems. Multi-core systems introduce many challenges that need to be addressed to achieve the best performance. Therefore, a new set of benchmarking techniques to study the impacts of the multi-core technologies is necessary. In this paper, multi-core specific performance metrics for cache coherency and memory bandwidth/latency/contention are investigated. This study also proposes a new benchmarking suite which includes cases extended from the high performance computing challenge (HPCC) benchmark suite. Performance results are measured on a Sun Fire T1000 server with six cores and an AMD Opteron dual core system. Experimental analysis and observations in this paper provide for a better understanding of the emerging multi-core architectures.
  • Keywords
    cache storage; computer architecture; microprocessor chips; multiprocessing systems; AMD Opteron dual core system; Moore law; Sun Fire T1000 server; cache coherency; experimental evaluation; high performance computing challenge benchmark suite; memory bandwidth; multicore processor architectures; multicore systems; performance metrics; single-core processor; Arctic; Bandwidth; Computer architecture; Delay; High performance computing; Measurement; Moore´s Law; Multicore processing; Sun; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    1-4244-0910-1
  • Electronic_ISBN
    1-4244-0910-1
  • Type

    conf

  • DOI
    10.1109/IPDPS.2007.370584
  • Filename
    4228312