@INPROCEEDINGS{,
     author = {Jaeger, Julien and Philippen, Peter and Petit, Eric and Charif Rubial, Andres and R{\"{o}}ssel, Christian and Jalby, William and Mohr, Bernd},
     editor = {Bader, Michael and Bode, Arndt and Bungartz, Hans-Joachim and Gerndt, Michael and Joubert, Gerhard R. and Peters, Frans J.},
   keywords = {analysis, Binary instrumentation, MAQAO, measurement, OpenMP, performance, profile, Score-P, trace},
      month = mar,
      title = {Binary Instrumentation for Scalable Performance Measurement of OpenMP Applications},
  booktitle = {Parallel Computing: Accelerating Computational Science and Engineering (CSE)},
     series = {Advances in Parallel Computing},
     volume = {25},
       year = {2014},
      pages = {783-792},
  publisher = {IOS Press},
   location = {Amsterdam, Berlin, Tokyo, Washington D.C.},
       isbn = {978-1-61499-380-3},
        url = {http://ebooks.iospress.nl/publication/35953},
        doi = {10.3233/978-1-61499-381-0-783},
   abstract = {In this paper we present a binary instrumentation methodology to monitor runtime events. We demonstrate our approach on OpenMP constructs for the Intel and GNU compilers. A binary-level static analysis detects the compiler patterns and the runtime function calls corresponding to OpenMP regions. To this effect we integrate the software tool MAQAO with the scalable measurement infrastructure Score-P. We design a new interface and modify both tools to support the new events. The main advantages of using binary instrumentation are the possibility to retrieve implicit runtime events, to instrument without recompilation, to be independent from the language, and not to interact with compiler optimization. Our validation experiments and first results shows that binary instrumentation has not introduced any additional overhead.}
}