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@MASTERSTHESIS{Kirchner:911595,
      author       = {Kirchner, Tabea},
      title        = {{P}arallelization and optimization of measures in {N}etwork
                      {N}euroscience},
      school       = {FH Aachen Campus Jülich},
      type         = {Masterarbeit},
      reportid     = {FZJ-2022-04854},
      pages        = {107 p.},
      year         = {2022},
      note         = {Masterarbeit, FH Aachen Campus Jülich, 2022},
      abstract     = {The main goal of neuroscience is to understand the human
                      brain. To achieve this, the area Network Neuroscience has
                      evolved. This scientific field describes the human brain as
                      a network comprising of neural elements (nodes), and
                      connection between these elements (edges). Graph analysis
                      algorithms can therefore be applied to gain insights into
                      the brain. The Brain Connectivity Toolbox (BCT) is a Matlab
                      toolbox that includes graph algorithms calculating measures
                      in Network Neuroscience. This toolbox only provides
                      sequential versions of these algorithms, which limits the
                      size of the input graph. To overcome this limit, we
                      implement optimized shared and distributed memory algorithms
                      from this toolbox. For the implementations, the Boost Graph
                      Library is used. This library provides a generic interface
                      for the graph data structure. Experiments that are run on
                      the Jülich supercomputer JUWELS show that a performance
                      improvement can be achieved by this parallelization.},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / SLNS - SimLab
                      Neuroscience (Helmholtz-SLNS)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)19},
      url          = {https://juser.fz-juelich.de/record/911595},
}