% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{Geimer:173345,
      author       = {Geimer, Markus and Shende, Sameer S. and Wesarg, Bert and
                      Wylie, Brian J. N. and Linford, John},
      title        = {{H}ands-{O}n {P}ractical {H}ybrid {P}arallel {A}pplication
                      {P}erformance {E}ngineering},
      reportid     = {FZJ-2014-06755},
      year         = {2014},
      abstract     = {This tutorial presents state-of-the-art performance tools
                      for leading-edge HPC systems founded on the Score-P
                      community-developed instrumentation and measurement
                      infrastructure, demonstrating how they can be used for
                      performance engineering of effective scientific applications
                      based on standard MPI, OpenMP, hybrid combination of both,
                      and increasingly common usage of accelerators. Parallel
                      performance tools from the Virtual Institute - High
                      Productivity Supercomputing (VI-HPS) are introduced and
                      featured in hands-on exercises with Scalasca, Vampir, and
                      TAU. We present the complete workflow of performance
                      engineering, including instrumentation, measurement
                      (profiling and tracing, timing and PAPI hardware counters),
                      data storage, analysis, and visualization. Emphasis is
                      placed on how tools are used in combination for identifying
                      performance problems and investigating optimization
                      alternatives. Using their own notebook computers with a
                      provided Linux Live-ISO image containing all of the tools
                      (running within a virtual machine or booted directly from
                      DVD/USB) will help to prepare participants to locate and
                      diagnose performance bottlenecks in their own parallel
                      programs.},
      month         = {Nov},
      date          = {2014-11-16},
      organization  = {26th International Conference for High
                       Performance Computing, Networking,
                       Storage and Analysis, New Orleans, LA
                       (USA), 16 Nov 2014 - 21 Nov 2014},
      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)31},
      url          = {https://juser.fz-juelich.de/record/173345},
}