Design and implementation of parallel simulation ranking and selection procedures
by Wu Yang
THESIS
2013
M.Phil. Industrial Engineering and Logistics Management
x, 58 pages : illustrations ; 30 cm
Abstract
Conventional simulation ranking-and-selection(R&S) procedures are designed and implemented for serial computing environment. However, today's growth of computing
power relies more on parallelism rather than faster serial execution. The conflict makes it
difficult for those serial simulation R&S procedures to take advantage of the development
of computing technology. In this thesis, we propose our design and implementation of
simulation R&S procedures for parallel computing environment with a master-slave structure in higher level. Extensive numerical experiments show that our parallel simulation
R&S procedures are capable of solving large-scale problems and are scalable when the
number of available parallel computing units increases.
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