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@ARTICLE{Wylie:393,
      author       = {Wylie, B. J. N. and Geimer, M. and Wolf, F.},
      title        = {{P}erformance measurement and analysis of large-scale
                      parallel applications on leadership computing systems},
      journal      = {Scientific programming},
      volume       = {16},
      issn         = {1058-9244},
      address      = {New York, NY},
      publisher    = {John Wiley $\&$ Sons},
      reportid     = {PreJuSER-393},
      year         = {2008},
      note         = {This work was partially funded under the German Helmholtz
                      Association Young Investigators Program under Contract No.
                      VNG-118. Collaboration with the developers of the XNS
                      application from RWTH Aachen University was undertaken using
                      resources of the John von Neumann Institute for Computing as
                      part of the first Blue Gene/L Scaling Workshop in Julich.},
      abstract     = {Developers of applications with large-scale computing
                      requirements are currently presented with a variety of
                      high-performance systems optimised for message-passing,
                      however, effectively exploiting the available computing
                      resources remains a major challenge. In addition to
                      fundamental application scalability characteristics,
                      application and system peculiarities often only manifest at
                      extreme scales, requiring highly scalable performance
                      measurement and analysis tools that are convenient to
                      incorporate in application development and tuning
                      activities. We present our experiences with a multigrid
                      solver benchmark and state-of-the-art real-world
                      applications for numerical weather prediction and
                      computational fluid dynamics, on three quite different
                      multi-thousand-processor supercomputer systems - Cray XT3/4,
                      MareNostrum $\&$ Blue Gene/L - using the newly-developed
                      SCALASCA toolset to quantify and isolate a range of
                      significant performance issues.},
      keywords     = {J (WoSType)},
      cin          = {JSC / JARA-SIM},
      ddc          = {070},
      cid          = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)VDB1045},
      pnm          = {Scientific Computing / ATMLPP - ATML Parallel Performance
                      (ATMLPP)},
      pid          = {G:(DE-Juel1)FUEK411 / G:(DE-Juel-1)ATMLPP},
      shelfmark    = {Computer Science, Software Engineering},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000272226800006},
      doi          = {10.3233/SPR-2008-0255},
      url          = {https://juser.fz-juelich.de/record/393},
}