A high performance framework for modeling and simulation of large-scale complex systems |
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| Affiliation: | 1. State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha 410073, China;2. College of Information System and Management, National University of Defense Technology, Changsha 410073, China;3. National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan 430072, China;4. Research Institute of Wuhan University in Shenzhen, China;1. Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, Hunan, China;2. Department of Electrical & Computer Engineering, University of Alberta, Edmonton, AB T6R 2V4, Canada;3. Warsaw School of Information Technology, Newelska 6, Warsaw, Poland;4. School of Electrical and Electronic Engineering, Nanyang Technological University, 639798 Singapore, Singapore;5. School of Electronics Engineering, Kyungpook National University, 1370 Sankyuk-Dong, Puk-Gu, Taegu 702-701, South Korea;1. Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China;2. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China;3. Department of Computer Science, St. Francis Xavier University, Antigonish, NS B2G 2W5, Canada;1. Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, PR China;2. School of Computer Science and Engineering, University of New South Wales, NSW 2052, Australia;3. Department of Computer Science and Software Engineering, Auburn University, Auburn, AL 36849-5347, USA;4. Department of Mathematics and Statistics, York University, Toronto M3J1P3, Canada;1. College of Information System and Management, National University of Defense Technology, ChangSha, Hunan 410073, PR China;2. Department of Automatic Control & Systems Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK;1. College of Information System and Management, National University of Defense Technology, Changsha 410073, PR China;2. State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha 410073, PR China;1. College of Information System and Management, National University of Defense Technology, Changsha 410073, China;2. State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha 410073, China |
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| Abstract: | Due to the quick advances in the scale of problem domain of complex systems under investigation, the complexity of multi-input component models used to construct logical processes (LP) has significantly increased. High-performance computing technologies have therefore been extensively used to enable parallel simulation execution. However, the traditional multi-process parallel method (MPM) executes LPs in parallel on multi-core platforms, which ignores the intrinsic parallel capabilities of multi-input component models. In this study, a vectorized component model (VCM) framework has been proposed. The design aims to better utilize the parallelism of multi-input component models. A two-level composite parallel method (CPM) has then been constructed within the framework, which can sustain complex system simulation applications consisting of multi-input component models. CPM first employs MPM to dispatch LPs onto a multi-core computing platform. It then maps VCMs to the multiple-core platform for parallel execution. Experimental results indicate that (1) the proposed VCM framework can better utilize the parallelism of multi-input component models, and (2) CPM can significantly improve the performance comparing to the traditional MPM. The results also show that CPM can effectively cope with the size and complexity of complex simulation applications with multi-input component models. |
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| Keywords: | Complex systems Modeling and simulation Parallel computing Composite parallel method Discrete event simulation |
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