1993SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University)Open access

Application of parallel processing for object oriented discrete event simulation of manufacturing systems

Hemant C. Bhuskute

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Abstract

What impact do these factors have on a parallel implementation of the discrete event simulation of a manufacturing system?3] What constructs must an object oriented concurrent programming language provide to achieve process synchronization for a parallel application?4] How can deadlocking situations be avoided in parallel implementation of discrete event system simulations?5] Can a test be dev~loped to detect if a manufacturing system possesses the characteristics that can lead to a deadlock during parallel implementation of a discrete event simulation of that system?~6] How can the random number generation process be effectively handled so that it can result in identical simulation results regardless of uniprocessor or multiprocessor implementation ?This research seeks to address these questions and gain insight into a methodology for answering them.Some of the above questions are discussed in the distributed simulation literature.Brief reviews of pertinent research articles are provided in the next chapter.

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What impact do these factors have on a parallel implementation of the discrete event simulation of a manufacturing system?3] What constructs must an object oriented concurrent programming language provide to achieve process synchronization for a parallel application?4] How can deadlocking situations be avoided in parallel implementation of discrete event system simulations?5] Can a test be dev~loped to detect if a manufacturing system possesses the characteristics that can lead to a deadlock during parallel implementation of a discrete event simulation of that system?~6] How can the random number generation process be effectively handled so that it can result in identical simulation results regardless of uniprocessor or multiprocessor implementation ?This research seeks to address these questions and gain insight into a methodology for answering them.Some of the above questions are discussed in the distributed simulation literature.Brief reviews of pertinent research articles are provided in the next chapter.

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What impact do these factors have on a parallel implementation of the discrete event simulation of a manufacturing system?3] What constructs must an object oriented concurrent programming language provide to achieve process synchronization for a parallel application?4] How can deadlocking situations be avoided in parallel implementation of discrete event system simulations?5] Can a test be dev~loped to detect if a manufacturing system possesses the characteristics that can lead to a deadlock during parallel implementation of a discrete event simulation of that system?~6] How can the random number generation process be effectively handled so that it can result in identical simulation results regardless of uniprocessor or multiprocessor implementation ?This research seeks to address these questions and gain insight into a methodology for answering them.Some of the above questions are discussed in the distributed simulation literature.Brief reviews of pertinent research articles are provided in the next chapter.

Key concepts: Discrete event simulation, Computer science, Testbed, Distributed computing, Event (particle physics), Fork (system call), Parallel computing, Implementation

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