• DocumentCode
    2345532
  • Title

    Statistical performance-driven module binding in high-level synthesis

  • Author

    Tomiyama, Hiroyuki ; Inoue, Akihiko ; Yasuura, Hiroto

  • Author_Institution
    Dept. of Comput. Sci. & Commun. Eng., Kyushu Univ., Fukuoka, Japan
  • fYear
    1998
  • fDate
    2-4 Dec 1998
  • Firstpage
    66
  • Lastpage
    71
  • Abstract
    The inevitable fluctuation in fabrication processes results in LSI chips with various critical path delay even though all the chips are fabricated from the same design. Therefore, in LSI design, it is important to estimate what percentage of the fabricated chips will achieve the performance level and to maximize the percentage. This paper presents a model and a method to analyze statistical delay of RT-level datapath designs. The method predicts the probability that the fabricated circuits will work at a user specified clock period. Using the method, we can estimate a tight bound on the worst case critical path delay of the circuits. Based on the delay analysis method, a high-level module binding algorithm which maximizes the probability is also proposed. Experimental results demonstrate that the proposed statistical delay analysis method leads to lower-cost or higher-performance designs than conventional delay analysis methods
  • Keywords
    high level synthesis; integrated circuit design; integrated logic circuits; large scale integration; LSI design; RT-level datapath designs; delay analysis; high-level synthesis; module binding; statistical delay; tight bound; worst case critical path delay; Circuit faults; Clocks; Computer aided manufacturing; Costs; Delay estimation; Fabrication; High level synthesis; Large scale integration; Probability distribution; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Synthesis, 1998. Proceedings. 11th International Symposium on
  • Conference_Location
    Hsinchu
  • ISSN
    1080-1820
  • Print_ISBN
    0-8186-8623-5
  • Type

    conf

  • DOI
    10.1109/ISSS.1998.730599
  • Filename
    730599