Critique of A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery by SCC Team from ShanghaiTech University

doi:10.1109/TPDS.2022.3205479

	Critique of A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery by SCC Team from ShanghaiTech University
	Li, Guancheng; Cao, Songhui; Zhao, Chuyi; Zhang, Siyuan; Ji, Yuchen; Jing, Haotian; Li, Zecheng; Cheng, Jiajun; Yang, Yiwei; Yin, Shu
	2022
发表期刊	IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (IF:5.6[JCR-2023],4.5[5-Year])
ISSN	1045-9219
EISSN	1558-2183
卷号	34 期号:6 页码:1-4
发表状态	已发表
DOI	10.1109/TPDS.2022.3205479
摘要	In SC20, Srivastava et al. [6] proposed a Parallel Framework for Bayesian Learning, or ramBLe, for short, which is a highly parallel and efficient framework for learning the structure of Bayesian Networks (BNs) from samples, particularly large genome-scale networks. As part of our participation in the SC21 Student Cluster Competition, our task was to verify conclusions from the original work [6]. Here we present the outcome of our experiments, which were performed on a four-node cluster from the Oracle Cloud HPC platform. We reproduce the numerical results from [6], namely the algorithms performance and scaling behavior using MPI and different Python and Boost libraries on the Oracle cloud. IEEE
关键词	Benchmarking Computer graphics Graphics processing unit Multitasking Program processors Random access storage Statistical tests Bayes method Benchmark testing Biological system modeling Case study in scientific application Case-studies Noise measurements Non-volatile memory Nonvolatile memory Scientific applications Task analysis Usability testing
URL	查看原文
收录类别	EI ; SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000992499400003
出版者	IEEE Computer Society
EI入藏号	20223812757306
EI主题词	Bayesian networks
EI分类号	714.2 Semiconductor Devices and Integrated Circuits ; 721.3 Computer Circuits ; 722.1 Data Storage, Equipment and Techniques ; 722.4 Digital Computers and Systems ; 723.5 Computer Applications ; 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory ; 922.2 Mathematical Statistics
原始文献类型	Article in Press
来源库	IEEE
引用统计	正在获取...
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/231994
专题	信息科学与技术学院_本科生信息科学与技术学院_PI研究组_殷树组信息科学与技术学院_硕士生
通讯作者	Yin, Shu
作者单位	ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 201210, Peoples R China
第一作者单位	信息科学与技术学院
通讯作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Li, Guancheng,Cao, Songhui,Zhao, Chuyi,et al. Critique of A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery by SCC Team from ShanghaiTech University[J]. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS,2022,34(6):1-4.
APA	Li, Guancheng.,Cao, Songhui.,Zhao, Chuyi.,Zhang, Siyuan.,Ji, Yuchen.,...&Yin, Shu.(2022).Critique of A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery by SCC Team from ShanghaiTech University.IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS,34(6),1-4.
MLA	Li, Guancheng,et al."Critique of A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery by SCC Team from ShanghaiTech University".IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 34.6(2022):1-4.