UG - Ubiquity Generator framework: UG is a generic framework to parallelize branch-and-bound based solvers (e.g., MIP, MINLP, ExactIP) in a distributed or shared memory computing environment: Exploits powerful performance of state-of-the-art ”base solvers”, such as SCIP, CPLEX, etc. Without the need for base solver parallelization. Base solvers and communication libraries are abstracted within UG. A parallel solver instantiated by UG framework is named: ug[Base solver, Communication libaray]

References in zbMATH (referenced in 9 articles )

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  1. Berthold, Timo; Farmer, James; Heinz, Stefan; Perregaard, Michael: Parallelization of the FICO Xpress-Optimizer (2016)
  2. Kimura, Keiji; Waki, Hayato: Mixed integer nonlinear program for minimization of Akaike’s information criterion (2016)
  3. Maher, Stephen; Miltenberger, Matthias; Pedroso, João Pedro; Rehfeldt, Daniel; Schwarz, Robert; Serrano, Felipe: PySCIPOpt: mathematical programming in python with the SCIP optimization suite (2016)
  4. Shinano, Yuji; Berthold, Timo; Heinz, Stefan: A first implementation of paraxpress: combining internal and external parallelization to solve MIPs on supercomputers (2016)
  5. Eckstein, Jonathan; Hart, William E.; Phillips, Cynthia A.: PEBBL: an object-oriented framework for scalable parallel branch and bound (2015)
  6. Mason, Luke R.; Mak-Hau, Vicky H.; Ernst, Andreas T.: A parallel optimisation approach for the realisation problem in intensity modulated radiotherapy treatment planning (2015)
  7. Gamrath, Gerald: Improving strong branching by domain propagation (2014)
  8. Koch, Thorsten; Ralphs, Ted; Shinano, Yuji: Could we use a million cores to solve an integer program? (2012)
  9. Koch, Thorsten; Achterberg, Tobias; Andersen, Erling; Bastert, Oliver; Berthold, Timo; Bixby, Robert E.; Danna, Emilie; Gamrath, Gerald; Gleixner, Ambros M.; Heinz, Stefan; Lodi, Andrea; Mittelmann, Hans; Ralphs, Ted; Salvagnin, Domenico; Steffy, Daniel E.; Wolter, Kati: MIPLIB 2010. Mixed integer programming library version 5 (2011) ioport

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