A multi-scale architecture for multi-scale simulation and its application to gas

Li, B., Zhou, G., Ge, W., Wang, L., Wang, X., Guo, L., & Li, J. (2014). A multi-scale architecture for multi-scale simulation and its application to gas–solid flows. Particuology, 15, 160–169. https://doi.org/10.1016/j.partic.2013.07.004

A multi-scale architecture for multi-scale simulation and its application to gas–solid flows

Bo Li ^{a b}, Guofeng Zhou ^{a b}, Wei Ge ^a *, Limin Wang ^a, Xiaowei Wang ^a, Li Guo ^a, Jinghai Li ^a

a State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
b University of Chinese Academy of Sciences, Beijing 100049, China

10.1016/j.partic.2013.07.004

Volume 15, August 2014, Pages 160-169

Received 6 May 2013, Revised 2 July 2013, Accepted 10 July 2013, Available online 25 September 2013.

E-mail: wge@home.ipe.ac.cn

Highlights

• A multi-scale hardware and software architecture was built to implement the EMMS paradigm.

• CPUs were employed for macro-scale control and optimization.

• Many-core processors operating in the MIMD mode were employed for MD-style simulation at meso-scale.

• Many-core processors operating in the SIMD mode were employed for DNS at micro-scale using LBM.

• The architecture was proven effective in the simulation of gas–solid flows.

Abstract

A multi-scale hardware and software architecture implementing the EMMS (energy-minimization multi-scale) paradigm is proven to be effective in the simulation of a two-dimensional gas–solid suspension. General purpose CPUs are employed for macro-scale control and optimization, and many integrated cores (MICs) operating in multiple-instruction multiple-data mode are used for a molecular dynamics simulation of the solid particles at the meso-scale. Many cores operating in single-instruction multiple-data mode, such as general purpose graphics processing units (GPGPUs), are employed for direct numerical simulation of the fluid flow at the micro-scale using the lattice Boltzmann method. This architecture is also expected to be efficient for the multi-scale simulation of other complex systems.

Graphical abstract

Keywords

General purpose graphics processing unit (GPGPU); Many integrated core (MIC); Meso-science; Multiple-instruction multiple-data; Single-instruction multiple-data; Virtual process engineering

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