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@INPROCEEDINGS{Shudler:281767,
      author       = {Shudler, Sergei and Calotoiu, Alexandru and Hoefler,
                      Torsten and Strube, Alexandre and Wolf, Felix},
      title        = {{E}xascaling {Y}our {L}ibrary},
      address      = {New York, New York, USA},
      publisher    = {ACM Press},
      reportid     = {FZJ-2016-01449},
      pages        = {165-175},
      year         = {2015},
      comment      = {Proceedings of the 29th ACM on International Conference on
                      Supercomputing - ICS '15 - 2015. - ISBN 9781450335591},
      booktitle     = {Proceedings of the 29th ACM on
                       International Conference on
                       Supercomputing - ICS '15 - 2015. - ISBN
                       9781450335591},
      abstract     = {Many libraries in the HPC field encapsulate sophisticated
                      algorithms with clear theoretical scalability expectations.
                      However, hardware constraints or programming bugs may
                      sometimes render these expectations inaccurate or even
                      plainly wrong. While algorithm engineers have already been
                      advocating the systematic combination of analytical
                      performance models with practical measurements for a very
                      long time, we go one step further and show how this
                      comparison can become part of automated testing procedures.
                      The most important applications of our method include
                      initial validation, regression testing, and benchmarking to
                      compare implementation and platform alternatives. Advancing
                      the concept of performance assertions, we verify asymptotic
                      scaling trends rather than precise analytical expressions,
                      relieving the developer from the burden of having to specify
                      and maintain very fine grained and potentially non-portable
                      expectations. In this way, scalability validation can be
                      continuously applied throughout the whole development cycle
                      with very little effort. Using MPI as an example, we show
                      how our method can help uncover non-obvious limitations of
                      both libraries and underlying platforms.},
      month         = {Aug},
      date          = {06082015},
      organization  = {29th International Conference on
                       Supercomputing, Newport Beach
                       (California), 8 Jun 2015 - 11 Jun 2015},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / ATMLPP - ATML Parallel Performance (ATMLPP)},
      pid          = {G:(DE-HGF)POF3-511 / G:(DE-Juel-1)ATMLPP},
      typ          = {PUB:(DE-HGF)8},
      UT           = {WOS:000493996800018},
      doi          = {10.1145/2751205.2751216},
      url          = {https://juser.fz-juelich.de/record/281767},
}