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High Performance Computing for City-Scale Modelling and Simulations

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Soga, Kenichi 
Casey, Gerard 
Soundararajan, KK 

Abstract

The 21st Century is witnessing a rapid rise of urbanization both in the developed and the developing world. Cities increasingly need to be able to do more with less in order to provide for the well-being of their citizens in a sustainable way. The promise of Smart City is an emerging ability to understand, to respond to, and to shape human activity at urban population and geographic scales so that a more agile, adaptive, and sustainable urban environment can be created (see Batty et al., 2012; Caragliu et al., 2011; Chourabi et al., 2012; Su et al., 2011 for early adoption of Smart City). To be effective, this requires the predictive power of data-driven modelling and city-scale computational simulations. Recently city-scale simulations are becoming possible thanks to a surge of development in the high-performance computing (HPC) domain including advanced hardware, computational and algorithmic techniques such as domain decomposition across multi-GPUs and multigrid techniques. Advanced high performance computing systems (a billion billion calculations per second) are now becoming available to performance city-scale simulations with micro-scale models of an individual objective (structure, people, vehicle, etc.) (e.g. Sánchez-Medina et al., 2010; Hori, 2011; Zia et al., 2012; Wijerathne et al., 2013; Pijanowski et al., 2014; Yoshimura et al., 2016; Johansen et al., 2017; Lu and Guan., 2017)

Description

Keywords

33 Built Environment and Design, 40 Engineering, 3301 Architecture, Bioengineering, 11 Sustainable Cities and Communities

Journal Title

Smart Infrastructure and Construction

Conference Name

Journal ISSN

2397-8759
2397-8759

Volume Title

170

Publisher

ICE Publishing
Sponsorship
Engineering and Physical Sciences Research Council (EP/I019308/1)
EPSRC (1357298)