Abstract
A parallel branch and bound algorithm is developed for use with MIMD computers to study the efficiency of parallel processors on general integer linear programming problems. The Haldi and IBM test problems and a System Design model are used in the implementation of the algorithm. Initially the algorithm solves the Haldi and IBM test problems on a single processor computer which simulates a multiple processor computer. The algorithm is then implemented on the Denelcor HEP multiprocessor using two of the IBM problems to compare the results of the simulation to the results using an MIMD computer. Finally the algorithm is implemented on the HEP using the System Design model to show a case in which the number of pivots decreases as the number of processes are increased from seven to the process limit of sixteen.
In general, it is shown that super linear efficiency can be achieved using multiple processors.
Recommended Citation
Boehning, Rochelle L. and Gillett, Billy E., "A Parallel Branch and Bound Algorithm for Integer Linear Programming Models" (1985). Computer Science Technical Reports. 81.
https://scholarsmine.mst.edu/comsci_techreports/81
Department(s)
Computer Science
Report Number
CSc-85-2
Document Type
Technical Report
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 1985 University of Missouri--Rolla, All rights reserved.
Publication Date
July 1985
Comments
This report is substantially the Ph.D. dissertation of the first author, completed July 1985.