Performance Evaluation of Parallel Finite Element Electromagnetic Field Analysis using Numerical Human Models

• Takei Amane

  Tomakomai National College of Technology The University of Tokyo

• Murotani Kouhei

  The University of Tokyo

• Sugimoto Shin-ichiro

  Tokyo University of Science

• Ogino Masao

  Nagoya University

• Yamada Tomonori

  The University of Tokyo

• Yoshimura Shinobu

  The University of Tokyo

Abstract

This paper describes large-scale full-wave analyses of electromagnetic fields using numerical human body models. This is achieved by the use of the parallel finite element method with iterative domain decomposition. Numerical examples of FDTD analysis using numerical human model by a High Performance Computing (HPC) are shown in previous researches. However, numerical examples and performance evaluation of the finite element method hardly exists. Therefore, we perform a feasibility study and a detailed performance evaluation of the high-frequency electromagnetic field analysis using the numerical human model on a super computer constituting Japan’s High Performance Computing Infrastructure (HPCI) as a numerical simulation infrastructure so as to extract problems for advancement of the future analysis. The numerical human body models provided by the National Institute of Information and Communications Technology (NICT) in Japan are composed of voxel data with all sides of 2mm and include skin layers, blood vessels, bones, internal organs, etc. distinguished by material properties. By using HPC, the user can evaluate the electromagnetic filed distribution inside the whole body model.

Journal

• Journal of Advanced Simulation in Science and Engineering

  Journal of Advanced Simulation in Science and Engineering 1 (1), 127-140, 2014

  Japan Society for Simulation Technology

Keywords

• Full-wave analysis
• Finite element method
• Hierarchical domain decomposition method
• Numerical human model

Details

• CRID: 1390001205756155264
• NII Article ID: 130004709198
• DOI: 10.15748/jasse.1.127
• ISSN: 21885303
• Web Site: https://www.jstage.jst.go.jp/article/jasse/1/1/1_127/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed