• DocumentCode
    1564114
  • Title

    Construction and compression of complete call graphs for post-mortem program trace analysis

  • Author

    Knüpfer, Andreas ; Nagel, Wolfgang E.

  • Author_Institution
    Center for High Performance Comput., Technische Univ. Dresden, Germany
  • fYear
    2005
  • Firstpage
    165
  • Lastpage
    172
  • Abstract
    Compressed complete call graphs (cCCGs) are a newly developed memory data structure for event based program traces. The most important advantage over linear lists or arrays traditionally used is the ability to apply lossy or lossless data compression. The compression scheme is completely transparent with respect to read access decompression is not required. This approach is a new way to cope with todays challenges when analyzing enormous amounts of trace data. The article focuses on CCG construction and compression, querying and evaluation are briefly covered.
  • Keywords
    data compression; data structures; parallel programming; program diagnostics; compressed complete call graphs; data compression; memory data structure; performance analysis; post-mortem program trace analysis; Algorithm design and analysis; Computational complexity; Data compression; Data structures; Electronic mail; Error correction; High performance computing; Performance analysis; Tree data structures; Tree graphs; Data Compression; Data Structures; Performance Analysis; Tracing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing, 2005. ICPP 2005. International Conference on
  • ISSN
    0190-3918
  • Print_ISBN
    0-7695-2380-3
  • Type

    conf

  • DOI
    10.1109/ICPP.2005.28
  • Filename
    1488612