VAMPIR: Visualization and Analysis of MPI Resources. Performance analysis most often is based on the detailed knowledge of program behavior. One option to get this information is tracing. Based on the research tool PARvis, the visualization environment VAMPIR was developed at KFA which now supports the new message passing standard MPI. VAMPIR translates a given trace file into a variety of graphical views, e.g., state diagrams, activity charts, time-line displays, and statistics. Moreover, it supports an animation mode that can help to locate performance bottlenecks, and it provides flexible filter operations to reduce the amount of information displayed. The most interesting part of VAMPIR is the powerful zooming feature that allows to identify problems at any level of detail.

References in zbMATH (referenced in 17 articles )

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  1. de la Encina, Alberto; Rodríguez, Ismael; Rubio, Fernando: pHood: tool description, analysis techniques, and case studies (2014)
  2. Vassilevski, Panayot S.; Yang, Ulrike Meier: Reducing communication in algebraic multigrid using additive variants. (2014)
  3. Mello Schnorr, Lucas; Huard, Guillaume; Navaux, Philippe Olivier Alexandre: A hierarchical aggregation model to achieve visualization scalability in the analysis of parallel applications (2012)
  4. Mohror, Kathryn; Karavanic, Karen L.: Trace profiling: scalable event tracing on high-end parallel systems (2012)
  5. Dalton, Andrew R.; Wahba, Sally K.; Dandamudi, Sravanthi; Hallstrom, Jason O.: Visualizing the runtime behavior of embedded network systems: A toolkit for TinyOS (2009)
  6. Fürlinger, Karl; Moore, Shirley: Capturing and analyzing the execution control flow of OpenMP applications (2009)
  7. Hilbrich, Tobias; Müller, Matthias S.; Krammer, Bettina: MPI correctness checking for OpenMP/MPI applications (2009)
  8. Berthold, Jost; Loogen, Rita: Visualizing parallel functional program runs: case studies with the Eden trace viewer (2008)
  9. Nataraj, Aroon; Malony, Allen D.; Shende, Sameer; Morris, Alan: Integrated parallel performance views (2008)
  10. Boeriu, S.; Bruch, J.C.jun.: Performance analysis tools applied to a finite element adaptive mesh free boundary seepage parallel algorithm (2005)
  11. Kulshreshtha, Kshitij; Nataraj, Neela; Jung, Michael: A parallel mixed finite element implementation of fourth-order plate bending problems in distributed memory environments (2005)
  12. Kulshreshtha, Kshitij; Nataraj, Neela; Jung, Michael: Performance of a parallel mixed finite element implementation for fourth order clamped anisotropic plate bending problems in distributed memory environments (2004)
  13. Truong, Hong-Linh; Fahringer, Thomas; Geissler, Michael; Madsen, Georg: Performance analysis for MPI applications with SCALEA (2002)
  14. Amestoy, Patrick R.; Duff, Iain S.; L’excellent, Jean Yves; Li, Xiaoye S.: Analysis and comparison of two general sparse solvers for distributed memory computers (2001)
  15. Brunst, Holger; Winkler, Manuela; Nagel, Wolfgang E.; Hoppe, Hans-Christian: Performance optimization for large scale computing: the scalable VAMPIR approach (2001)
  16. Amestoy, P.R.; Duff, I.S.; L’Excellent, J.-Y.: Multifrontal parallel distributed symmetric and unsymmetric solvers (2000)
  17. Stiller, Jörg; Nagel, Wolfgang E.; Fladrich, Uwe: Scalability of parallel multigrid adaption (2000)