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【答案】应助回帖
★ ★ ★ ★ ★ ★ ★ ★ ★ ★ 感谢参与,应助指数 +1 ly2122003: 金币+10, ★★★★★最佳答案, 谢谢 2018-02-14 10:56:25 心静_依然: LS-EPI+1, 感谢应助 2018-03-10 13:35:29
Parallel algorithm study of petri net based on multi-core clusters
Accession number: 20162902607666
Authors: Li, Wenjing 1 ; Lin, Zhong-Ming 2 ; Pan, Ying 2 ; Tang, Ze-Yu 2
Author affiliations : 1 School of Logistics Management and Engineering, Guangxi Teachers Education University, Nanning, China
2 College of Computer and Information Engineering, Guangxi Teachers Education University, Nanning, China
Source title: Proceedings - 14th International Symposium on Distributed Computing and Applications for Business, Engineering and Science, DCABES 2015
Abbreviated source title: Proc. - Int. Symp. Distributed Comput. Appl. Bus., Eng. Sci., DCABES
Issue title: Proceedings - 14th International Symposium on Distributed Computing and Applications for Business, Engineering and Science, DCABES 2015
Issue date: March 8, 2016
Publication Year: 2015
Pages: 54-57
Article number: 7429555
Language: English
ISBN-13: 9781467365932
Document type: Conference article (CA)
Conference name: 14th International Symposium on Distributed Computing and Applications for Business, Engineering and Science, DCABES 2015
Conference date: August 18, 2015 - August 24, 2015
Conference location: Guiyang, China
Conference code: 120050
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: The parallel algorithm of Petri net based on multi-core clusters is put forward in order to make the Petri net system with concurrent synchronous function realize parallel control and running. First, select different Petri net structures and conduct transformation, and give the partitioning method of the subnets of place invariant-based Petri net system. Then, put forward the parallel algorithm of Petri net based on multi-core clusters according to the MPI+OpenMP+STM (STM, Software Transactional Memory and transactional memory) three-level parallel programming model and combining with the parallelized analysis of the changes of internal subnets and among the subnets. The experiment results show that the algorithm can better reflect the actual running process of Petri net system, and it is a feasible and effective method of realizing the parallel control and running of Petri net system. © 2015 IEEE.
Number of references: 9
Main heading: Clustering algorithms
Controlled terms: Algorithms - Application programming interfaces (API) - Concurrency control - Distributed computer systems - Multicore programming - Parallel algorithms - Parallel programming - Petri nets - Storage allocation (computer)
Uncontrolled terms: Multi-core cluster - Net structures - Parallel models - Parallel programming model - Partitioning methods - Software transactional memory - Subnet partitioning - Transactional memory
Classification code: 722.1Data Storage, Equipment and Techniques - 722.4Digital Computers and Systems - 723Computer Software, Data Handling and Applications - 723.1Computer Programming - 903.1Information Sources and Analysis - 921.4Combinatorial Mathematics, Includes Graph Theory, Set Theory
DOI: 10.1109/DCABES.2015.21
Funding Details: Number; Acronym; Sponsor: 61163012; NSFC; National Natural Science Foundation of China
Number; Acronym; Sponsor: 61363074; NSFC; National Natural Science Foundation of China
Database: Compendex
Compilation and indexing terms, © 2018 Elsevier Inc. |
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