FATCOP 2.0: Advanced features in an opportunistic mixed integer programming solver

被引:17
作者
Chen, Q
Ferris, MC
Linderoth, J
机构
[1] Univ Wisconsin, Dept Comp Sci, Madison, WI 53706 USA
[2] Oracle Corp, Portland Dev Ctr, Portland, OR 97204 USA
[3] Argonne Natl Lab, Div Math & Comp Sci, Argonne, IL 60439 USA
基金
美国国家科学基金会;
关键词
integer programming; Condor; PVM; parallel programming;
D O I
10.1023/A:1012982400848
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
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.
引用
收藏
页码:17 / 32
页数:16
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