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@INPROCEEDINGS{Breuer:848462,
      author       = {Breuer, Thomas and Bussieck, Michael and Cao, Karl-Kiên
                      and Cebulla, Felix and Fiand, Frederik and Gils, Hans
                      Christian and Gleixner, Ambros and Khabi, Dmitry and Koch,
                      Thorsten and Rehfeldt, Daniel and Wetzel, Manuel},
      title        = {{O}ptimizing {L}arge-{S}cale {L}inear {E}nergy {S}ystem
                      {P}roblems with {B}lock {D}iagonal {S}tructure by {U}sing
                      {P}arallel {I}nterior-{P}oint {M}ethods},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {FZJ-2018-03696},
      isbn         = {978-3-319-89920-6},
      series       = {Operations Research Proceedings},
      pages        = {641 - 647},
      year         = {2018},
      comment      = {Operations Research Proceedings 2017 / Kliewer, Natalia
                      (Editor) ; Cham : Springer International Publishing, 2018,
                      Chapter 85 ; ISSN: 0721-5924=2197-9294 ; ISBN:
                      978-3-319-89919-0=978-3-319-89920-6 ;
                      doi:10.1007/978-3-319-89920-6},
      booktitle     = {Operations Research Proceedings 2017 /
                       Kliewer, Natalia (Editor) ; Cham :
                       Springer International Publishing,
                       2018, Chapter 85 ; ISSN:
                       0721-5924=2197-9294 ; ISBN:
                       978-3-319-89919-0=978-3-319-89920-6 ;
                       doi:10.1007/978-3-319-89920-6},
      abstract     = {Current linear energy system models (ESM) acquiring
                      toprovide sufficient detail and reliability frequently bring
                      along problems ofboth high intricacy and increasing scale.
                      Unfortunately, the size and complexityof these problems
                      often prove to be intractable even for
                      commercialstate-of-the-art linear programming solvers. This
                      article describesan interdisciplinary approach to exploit
                      the intrinsic structure of theselarge-scale linear problems
                      to be able to solve them on massively
                      parallelhigh-performance computers. A key aspect are
                      extensions to the parallelinterior-point solver PIPS-IPM
                      originally developed for stochasticoptimization problems.
                      Furthermore, a newly developed GAMS interfaceto the solver
                      as well as some GAMS language extensions to
                      modelblock-structured problems will be described.},
      month         = {Sep},
      date          = {2017-09-06},
      organization  = {International Conference on Operations
                       Research, Berlin (Germany), 6 Sep 2017
                       - 8 Sep 2017},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / ATMLAO - ATML Application Optimization and User
                      Service Tools (ATMLAO)},
      pid          = {G:(DE-HGF)POF3-511 / G:(DE-Juel-1)ATMLAO},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      UT           = {WOS:000552618400085},
      doi          = {10.1007/978-3-319-89920-6_85},
      url          = {https://juser.fz-juelich.de/record/848462},
}