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

  • Wang L
  • Wang G
  • Alexander C
N/ACitations
Citations of this article
15Readers
Mendeley users who have this article in their library.

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. {©} 2015 Lidong Wang, Guanghui Wang and Cheryl Ann Alexander.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free