Sheng Xu
ABSTRACT
Distributed simulation promises benefits in large-scale simulations, such as in high fidelity simulation of 300mm wafer fabs, although these benefits have been hard to achieve in practice. This paper examines the fundamentals of distributed simulation, and proposes a hierarchical approach to distributed wafer fab simulation, which has the potential to achieve significant reduction in model execution time.
- Fujimoto, R. M. 2000. Parallel and Distributed Simulation Systems, John Wiley & Sons. Google Scholar
Digital Library
- McGinnis, L. F., S. Xu and K. Wang. 2005. Evaluate Simulation Design Alternatives for Large Scale Manufacturing Systems. In Proceeding of the IEEE International Symposium on Semiconductor Manufacturing. Page(s): 344 -- 347.Google Scholar
- McGinnis, L. F. K. Wang, and S. Xu, 2006. Distributed Simulation of Manufacturing Systems, In Proceedings of the 16th Flexible Automation and Intelligent Manufacturing Conference. 26--28 June, 2006 in the University of Limerick, Ireland.Google Scholar
- Parhami, B. 2002. Introduction to Parallel Processing Algorithms and Architectures, Kluwer Academic Publishers. Google ScholarDigital Library
- Wang K., S. Xu, L. F. McGinnis. 2005. Time management in distributed factory simulation, a case study using HLA. In Proceeding of Proceedings of the Winter Simulation Conference. Page(s): 1781--1786. Google ScholarDigital Library
- Xu, S., L. F., McGinnis. 2006. Optimistic-conservative synchronization in distributed factory simulation. In Proceeding of Proceedings of the 37th conference on Winter simulation Conference. Page(s): 1069--1074. Google ScholarDigital Library
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