• DocumentCode
    3621792
  • Title

    Branch trace compression for snapshot-based simulation

  • Author

    K.C. Barr;K. Asanovic

  • Author_Institution
    MIT Comput. Sci. & Artificial Intelligence Lab., Cambridge, MA, USA
  • fYear
    2006
  • fDate
    6/28/1905 12:00:00 AM
  • Firstpage
    25
  • Lastpage
    36
  • Abstract
    We present a scheme to compress branch trace information for use in snapshot-based microarchitecture simulation. The compressed trace can be used to warm any arbitrary branch predictor´s state before detailed microarchitecture simulation of the snapshot. We show that compressed branch traces require less space than snapshots of concrete predictor state. Our branch-predictor based compression (BPC) technique uses a software branch predictor to provide an accurate model of the input branch trace, requiring only mispredictions to be stored in the compressed trace file. The decompressor constructs a matching software branch predictor to help reconstruct the original branch trace from the record of mispredictions. Evaluations using traces from the Journal of ILP branch predictor competition show we achieve compression rates of 0.013-0.72 bits/branch (depending on workload), which is up to 210/spl times/ better than gzip; up to 52/spl times/ better than the best general-purpose compression techniques; and up to 4.4/spl times/ better than recently-published, more general trace compression techniques. Moreover, BPC-compressed traces can be decompressed in less time than corresponding traces compressed with other methods.
  • Keywords
    "Microarchitecture","Predictive models","Computational modeling","Concrete","Analytical models","Computer science","Artificial intelligence","Laboratories","Computer simulation","Phase detection"
  • Publisher
    ieee
  • Conference_Titel
    Performance Analysis of Systems and Software, 2006 IEEE International Symposium on
  • Print_ISBN
    1-4244-0186-0
  • Type

    conf

  • DOI
    10.1109/ISPASS.2006.1620787
  • Filename
    1620787