Confluences among Big Data, Finite Element Analysis and High Performance Computing
- 1 Mississippi Valley State University, United States
- 2 Chinese Academy of Meteorological Sciences, China
- 3 Technology and Healthcare Solutions, Inc., United States
Copyright: © 2020 Lidong Wang, Guanghui Wang and Cheryl Ann Alexander. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Big Data analyzes correlations from huge raw data and predicts outcomes. It has great impacts on scientific discoveries and value creation. High Performance Computing (HPC) uses parallel processing and advanced programs or software packages to complete complicated jobs quickly. Finite Element Method (FEM) is very powerful in scientific computation and engineering analysis. It has created huge values in almost every area of engineering. In a lot of applications, Finite Element Analysis (FEA) strongly relies on advanced computer technology and HPC. Big Data will play an important role in FEA and HPC. This paper presents confluences among Big Data, FEA and HPC.
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- Big Data
- Finite Element Method (FEM)
- High Performance Computing (HPC)
- Big Data Analytics
- Graphical Processing Unit (GPU)