Distributed decomposition of block-angular linear programs on a Hypercube computer
Technical Report
·
OSTI ID:7020035
Algorithms based on the Dantzig-Wolfe decomposition principle for linear programs are implemented on an Intel iPSC-2 Hypercube computer with 64-processors. Computational results with block-angular linear programs from diverse applications are reported. They indicate that the approach of distributed computation on relatively inexpensive multiple processor computers may be very cost-effective for large, structured linear programs. It is also shown that by studying certain characteristics of the interaction among the master and subproblems, one can select algorithms that best exploit the parallel processing environment.
- Research Organization:
- Tennessee Univ., Knoxville, TN (USA). Management Science Program
- OSTI ID:
- 7020035
- Report Number(s):
- AD-A-216433/3/XAB; MSP--89-3
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
99 GENERAL AND MISCELLANEOUS
990200* -- Mathematics & Computers
ALGORITHMS
ARRAY PROCESSORS
CHEMICAL REACTIONS
COMPUTERS
COST
DATA PROCESSING
DECOMPOSITION
DISTRIBUTED DATA PROCESSING
DISTRIBUTION
ENVIRONMENT
HYPERCUBE COMPUTERS
LINEAR PROGRAMMING
MATHEMATICAL LOGIC
PARALLEL PROCESSING
PROCESSING
PROGRAMMING
USES
990200* -- Mathematics & Computers
ALGORITHMS
ARRAY PROCESSORS
CHEMICAL REACTIONS
COMPUTERS
COST
DATA PROCESSING
DECOMPOSITION
DISTRIBUTED DATA PROCESSING
DISTRIBUTION
ENVIRONMENT
HYPERCUBE COMPUTERS
LINEAR PROGRAMMING
MATHEMATICAL LOGIC
PARALLEL PROCESSING
PROCESSING
PROGRAMMING
USES