This paper describes Pajé, an interactive visualization tool for displaying the execution of parallel applications where a potentially large number of communicating threads of various life-times execute on each node of a distributed memory parallel system. Pajé is capable of representing a wide variety of interactions between threads. The main characteristics of Pajé, interactivity and scalability, are exemplified by the performance tuning of a molecular dynamics application. In order to be easily extensible, the architecture of the system was based on components which are connected in a data flow graph to produce a given visualization tool. Innovative components were designed, in addition to “classical” components existing in similar visualization systems, to support scalability and interactivity

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  1. Mello Schnorr, Lucas; Huard, Guillaume; Navaux, Philippe Olivier Alexandre: A hierarchical aggregation model to achieve visualization scalability in the analysis of parallel applications (2012) ioport
  2. Alawneh, Luay; Hamou-Lhadj, Abdelwahab: Execution traces: A new domain that requires the creation of a standard metamodel (2009)
  3. Chassin de Kergommeaux, J.; Stein, B.; Bernard, P. E.: Pajé, an interactive visualization tool for tuning multi-threaded parallel applications (2000)