American Journal of Engineering and Applied Sciences | |
Confluences among Big Data, Finite Element Analysis and High Performance Computing | Science Publications | |
Guanghui Wang1  Lidong Wang1  Cheryl Ann Alexander1  | |
关键词: Big Data; Finite Element Method (FEM); High Performance Computing (HPC); Big Data Analytics; Hadoop; MapReduce; Graphical Processing Unit (GPU); | |
DOI : 10.3844/ajeassp.2015.767.774 | |
学科分类:工程和技术(综合) | |
来源: Science Publications | |
【 摘 要 】
BigData analyzes correlations from huge raw data and predicts outcomes. It hasgreat impacts on scientific discoveries and value creation. High Performance Computing (HPC) uses parallel processing and advanced programs orsoftware packages to complete complicated jobs quickly. Finite Element Method (FEM)is very powerful in scientific computation and engineering analysis. It hascreated huge values in almost every area of engineering. In a lot ofapplications, Finite Element Analysis (FEA) strongly relies on advancedcomputer technology and HPC.Big Data will play an important role in FEA and HPC. Thispaper presents confluences among Big Data, FEA and HPC.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201911300965797ZK.pdf | 175KB | download |