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Solution of Mixed-Integer Programming Problems on the XT5

Conference ·
OSTI ID:979207
In this paper, we describe our experience with solving difficult mixed-integer linear programming problems (MILPs) on the petaflop Cray XT5 system at the National Center for Computational Sciences at Oak Ridge National Laboratory. We describe the algorithmic, software, and hardware needs for solving MILPs and present the results of using PICO, an open-source, parallel, mixed-integer linear programming solver developed at Sandia National Laboratories, to solve canonical MILPs as well as problems of interest arising from the logistics and supply chain management field.
Research Organization:
Oak Ridge National Laboratory (ORNL); Center for Computational Sciences
Sponsoring Organization:
ORNL LDRD Director's R&D; SC USDOE - Office of Science (SC)
DOE Contract Number:
AC05-00OR22725
OSTI ID:
979207
Country of Publication:
United States
Language:
English

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