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FATCOP 2.0: Advanced Features in an Opportunistic Mixed Integer Programming Solver

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Abstract

We describe FATCOP 2.0, a new parallel mixed integer program solver that works in an opportunistic computing environment provided by the Condor resource management system. We outline changes to the search strategy of FATCOP 1.0 that are necessary to improve resource utilization, together with new techniques to exploit heterogeneous resources. We detail several advanced features in the code that are necessary for successful solution of a variety of mixed integer test problems, along with the different usage schemes that are pertinent to our particular computing environment. Computational results demonstrating the effects of the changes are provided and used to generate effective default strategies for the FATCOP solver.

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Authors and Affiliations

  1. Oracle Corporation, Portland Development Center, 1211 SW Avenue, Portland, OR, 97204, USA

    Qun Chen

  2. Computer Sciences Department, University of Wisconsin, Madison, WI, 53706, USA

    Michael C. Ferris

  3. Mathematics and Computer Science Division, Argonne National Lab., Argonne, IL, 60439, USA

    Jeff Linderoth

Authors
  1. Qun Chen
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  2. Michael C. Ferris
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  3. Jeff Linderoth
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Chen, Q., Ferris, M.C. & Linderoth, J. FATCOP 2.0: Advanced Features in an Opportunistic Mixed Integer Programming Solver. Annals of Operations Research 103, 17–32 (2001). https://doi.org/10.1023/A:1012982400848

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