TY  - CONF
AU  - Breuer, Thomas
AU  - Bussieck, Michael
AU  - Cao, Karl-Kiên
AU  - Cebulla, Felix
AU  - Fiand, Frederik
AU  - Gils, Hans Christian
AU  - Gleixner, Ambros
AU  - Khabi, Dmitry
AU  - Koch, Thorsten
AU  - Rehfeldt, Daniel
AU  - Wetzel, Manuel
TI  - Optimizing Large-Scale Linear Energy System Problems with Block Diagonal Structure by Using Parallel Interior-Point Methods
CY  - Cham
PB  - Springer International Publishing
M1  - FZJ-2018-03696
SN  - 978-3-319-89920-6
T2  - Operations Research Proceedings
SP  - 641 - 647
PY  - 2018
AB  - 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.
T2  - International Conference on Operations Research
CY  - 6 Sep 2017 - 8 Sep 2017, Berlin (Germany)
Y2  - 6 Sep 2017 - 8 Sep 2017
M2  - Berlin, Germany
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
UR  - <Go to ISI:>//WOS:000552618400085
DO  - DOI:10.1007/978-3-319-89920-6_85
UR  - https://juser.fz-juelich.de/record/848462
ER  -