• DocumentCode
    2705058
  • Title

    Automatic generation of high-performance trace compressors

  • Author

    Burtscher, Martin ; Sam, Nana B.

  • Author_Institution
    Comput. Syst. Lab., Cornell Univ., Ithaca, NY, USA
  • fYear
    2005
  • fDate
    20-23 March 2005
  • Firstpage
    229
  • Lastpage
    240
  • Abstract
    Program execution traces are frequently used in industry and academia. Yet, most trace-compression algorithms have to be re-implemented every time the trace format is changed, which takes time, is error prone, and often results in inefficient solutions. This paper describes and evaluates TCgen, a too that automatically generates portable, customized, high-performance trace compressors. All the user has to do is provide a description of the trace format and select one or more predictors to compress the fields in the trace records. TCgen translates this specification into C source code and optimizes it for the specified trace format and predictor algorithms. On average, the generated code is faster and compresses better than the six other compression algorithms we have tested. For example, a comparison with SBC, one of the best trace-compression algorithms in the current literature, shows that TCgen´s synthesized code compresses SPECcpu2000 address traces 23% more, decompresses them 24% faster, and compresses them 1029% faster.
  • Keywords
    C++ language; formal specification; optimising compilers; program interpreters; source coding; C source code; SPECcpu2000 address trace; TCgen tool; automatic generation; code generation; high-performance trace compressor; predictor algorithm; program execution; trace-compression algorithm; Compression algorithms; Compressors; Computer errors; Computer industry; Humans; Laboratories; Prediction algorithms; Registers; Testing; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Code Generation and Optimization, 2005. CGO 2005. International Symposium on
  • Print_ISBN
    0-7695-2298-X
  • Type

    conf

  • DOI
    10.1109/CGO.2005.6
  • Filename
    1402091