BibTeX Export

@INPROCEEDINGS{mussler_ea:2011:cobi,
     author = {Mu{\ss}ler, Jan and Lorenz, Daniel and Wolf, Felix},
      month = sep,
      title = {Reducing the overhead of direct application instrumentation using prior static analysis},
  booktitle = {Proc. of the 17th Euro-Par Conference, Bordeaux, France},
     series = {Lecture Notes in Computer Science},
     volume = {6852},
       year = {2011},
      pages = {65--76},
  publisher = {Springer},
        doi = {10.1007/978-3-642-23400-2_7},
   abstract = {Preparing performance measurements of HPC applications is usually a
  tradeoff between accuracy and granularity of the measured data. When
  using direct instrumentation, that is, the insertion of extra code
  around performance-relevant functions, the measurement overhead
  increases with the rate at which these functions are visited. If
  applied indiscriminately, the measurement dilation can even be
  prohibitive. In this paper, we show how static code analysis in
  combination with binary re-writing can help eliminate unnecessary
  instrumentation points based on configurable filter rules. In
  contrast to earlier approaches, our technique does not rely on
  dynamic information, making extra runs prior to the actual
  measurement dispensable. Moreover, the rules can be applied and
  modified without re-compilation. We evaluate filter rules designed
  for the analysis of computation and communication performance and
  show that in most cases the measurement dilation can be reduced to a
  few percent while still retaining significant detail.}
}