Review Article Open Access

Confluences among Big Data, Finite Element Analysis and High Performance Computing

Lidong Wang1, Guanghui Wang2 and Cheryl Ann Alexander3
  • 1 Mississippi Valley State University, United States
  • 2 Chinese Academy of Meteorological Sciences, China
  • 3 Technology and Healthcare Solutions, Inc., United States
American Journal of Engineering and Applied Sciences
Volume 8 No. 4, 2015, 767-774

DOI: https://doi.org/10.3844/ajeassp.2015.767.774

Submitted On: 20 May 2015 Published On: 15 July 2015

How to Cite: Wang, L., Wang, G. & Alexander, C. A. (2015). Confluences among Big Data, Finite Element Analysis and High Performance Computing. American Journal of Engineering and Applied Sciences, 8(4), 767-774. https://doi.org/10.3844/ajeassp.2015.767.774

Abstract

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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Keywords

  • Big Data
  • Finite Element Method (FEM)
  • High Performance Computing (HPC)
  • Big Data Analytics
  • Hadoop
  • MapReduce
  • Graphical Processing Unit (GPU)