• DocumentCode
    3697085
  • Title

    Hardware Thread-Level Speculation Performance Analysis

  • Author

    Ying-Chieh Wang;I-Hsin Chung;Che-Rung Lee;Michael Perrone;Yeh-Ching Chung

  • Author_Institution
    Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • fYear
    2015
  • Firstpage
    900
  • Lastpage
    903
  • Abstract
    This paper presents performance analysis for hardware Thread-Level Speculation (TLS) in the IBM Blue Gene/Q computer. Unlike traditional multi-thread programming model which uses lock to ensure the consistency of shared data, TLS is a harware mechanism to detect and resolve memory access conflicts among threads. The model shows good performance prediction, as verified by the experiments. This study helps to understand potential gains from using special purpose TLS hardware to accelerate the performance of codes that, in a strict sense, require serial processing to avoid memory conflicts. Furthermore, based on analysis and measurements of the TLS behavior and its overhead together with OpenMP comparison, a strategy is proposed to help utilize this hardware feature. The results also suggest potential improvement for the future TLS architectural designs.
  • Keywords
    "Instruction sets","Hardware","Delays","Mathematical model","Performance analysis","Computational modeling","Analytical models"
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communications (HPCC), 2015 IEEE 7th International Symposium on Cyberspace Safety and Security (CSS), 2015 IEEE 12th International Conferen on Embedded Software and Systems (ICESS), 2015 IEEE 17th International Conference on
  • Type

    conf

  • DOI
    10.1109/HPCC-CSS-ICESS.2015.208
  • Filename
    7336280