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题名:
hypergraph partitioning for the parallel computation of continuous petri nets
作者: Ding Zuohua ; Shen Hui ; Cao Jianwen
会议文集: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议名称: 11th International Conference on Parallel Computing Technologies, PaCT 2011
会议日期: September
出版日期: 2011
会议地点: Kazan, Russia
关键词: Parallel architectures ; Parallel processing systems ; Petri nets ; Philosophical aspects ; Static analysis
出版地: Germany
收录类别: EI
ISSN: 3029743
ISBN: 9783642231773
部门归属: (1) Center of Math Computing and Software Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China; (2) Institute of Software, Chinese Academy Sciences, Beijing 100080, China
主办者: Russian Academy of Sciences; Kazan Federal University; Academy of Sciences of the Republic of Tatarstan; Russian Fund for Basic Research; Lufthansa Official Airlines
英文摘要: Continuous Petri net can be used for performance analysis or static analysis. The analysis is based on solving the associated ordinary differential equations. However, large equation groups will give us overhead computing. To solve this issue, this paper presents a method to compute these differential equations in parallel. We first map the Petri net to a hypergraph, and then partition the hypergraph with minimal inter-processor communication and good load balance; Based on the partition result, we divide the differential equations into several blocks; Finally we design parallel computing algorithm to compute these equations. Software hMETIS and SUNDIALS have been used to partition the hypergraph and to support the parallel computing, respectively. Gas Station problem and Dining Philosopher problem have been used to demonstrate the benefit of our method. © 2011 Springer-Verlag Berlin Heidelberg.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/14285
Appears in Collections:并行计算实验室 _会议论文

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Recommended Citation:
Ding Zuohua,Shen Hui,Cao Jianwen. hypergraph partitioning for the parallel computation of continuous petri nets[C]. 见:11th International Conference on Parallel Computing Technologies, PaCT 2011. Kazan, Russia. September.
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