High-performance computing for computational modelling in built environment-related studies – a scientometric review

Emmanuel Imuetinyan Aghimien, Lerato Millicent Aghimien, Olutomilayo Olayemi Petinrin, Douglas Omoregie Aghimien

Research output: Contribution to journalReview articlepeer-review

10 Citations (Scopus)

Abstract

Purpose: This paper aims to present the result of a scientometric analysis conducted using studies on high-performance computing in computational modelling. This was done with a view to showcasing the need for high-performance computers (HPC) within the architecture, engineering and construction (AEC) industry in developing countries, particularly in Africa, where the use of HPC in developing computational models (CMs) for effective problem solving is still low. Design/methodology/approach: An interpretivism philosophical stance was adopted for the study which informed a scientometric review of existing studies gathered from the Scopus database. Keywords such as high-performance computing, and computational modelling were used to extract papers from the database. Visualisation of Similarities viewer (VOSviewer) was used to prepare co-occurrence maps based on the bibliographic data gathered. Findings: Findings revealed the scarcity of research emanating from Africa in this area of study. Furthermore, past studies had placed focus on high-performance computing in the development of computational modelling and theory, parallel computing and improved visualisation, large-scale application software, computer simulations and computational mathematical modelling. Future studies can also explore areas such as cloud computing, optimisation, high-level programming language, natural science computing, computer graphics equipment and Graphics Processing Units as they relate to the AEC industry. Research limitations/implications: The study assessed a single database for the search of related studies. Originality/value: The findings of this study serve as an excellent theoretical background for AEC researchers seeking to explore the use of HPC for CMs development in the quest for solving complex problems in the industry.

Original languageEnglish
Pages (from-to)1138-1157
Number of pages20
JournalJournal of Engineering, Design and Technology
Volume19
Issue number5
DOIs
Publication statusPublished - 2020

Keywords

  • Computational modelling techniques
  • Computational models
  • High performance computing
  • Scientific models

ASJC Scopus subject areas

  • Building and Construction
  • General Engineering

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