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@INPROCEEDINGS{Wylie:151331,
      author       = {Wylie, Brian J. N. and Schulz, Martin},
      title        = {{T}ools for {H}igh {P}roductivity {S}upercomputing},
      reportid     = {FZJ-2014-01310},
      year         = {2013},
      abstract     = {Developers are challenged to improve the reliability,
                      performance and scalability of their applications on
                      computer systems with increasingly large numbers of
                      processors and cores, requiring ever more parallelism and
                      efficiency with many processes and threads of execution. Use
                      of appropriate tools can greatly assist productivity of both
                      developers and computer systems, and is the founding
                      motivation for the Virtual Institute High Productivity
                      Supercomputing (VI-HPS). This full-day tutorial will give an
                      overview and introduction to tools covering execution
                      monitoring, correctness checking, and performance analysis
                      of parallel applications at large to extreme scale. Primary
                      focus is presenting and demonstrating tools provided on the
                      VI-HPS Linux ISO for use in virtual environments that are
                      mostly available as open-source and suited for a range of
                      current HPC platforms and Linux clusters, such that
                      attendees will know which tools to look for on their
                      development and production platforms and how they can be
                      applied to improve productivity.},
      month         = {Aug},
      date          = {2013-08-26},
      organization  = {European Conference on Parallel
                       Computing, Aachen (Germany), 26 Aug
                       2013 - 26 Aug 2013},
      subtyp        = {After Call},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {411 - Computational Science and Mathematical Methods
                      (POF2-411) / ATMLPP - ATML Parallel Performance (ATMLPP)},
      pid          = {G:(DE-HGF)POF2-411 / G:(DE-Juel-1)ATMLPP},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/151331},
}