Assigning and Scheduling Generalized Malleable Jobs Under Subadditive or Submodular Processing Speeds
Dimitris Fotakis,
Jannik Matuschke,
Orestis Papadigenopoulos
Abstract:Handling Heterogeneous Machines in Malleable Scheduling Parallelization is an important and widespread technique to speed up the completion of time-critical tasks, not only in high-speed computing, but also in operations planning in production and logistics. A fundamental model in this context is that of malleable jobs, each of which can be assigned to a subset of machine for parallel processing. In “Assigning and Scheduling Generalized Malleable Jobs Under Submodular or Subadditive Processing Speeds,” Fotaki… Show more
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