### Abstract

The Moving Particle Semi-implicit Method (MPS) has been proven useful in simulation of free-surface flows. One of its main drawbacks is the high computational load. The solution for the Pressure Poisson Equation (PPE) is the critical issue in parallelizing the MPS algorithm because it is the most time-consuming part and the original ICCG solver is difficult to parallelize. The Symmetric Lanczos Algorithm (SLA), which is easy to parallelize and as effective as ICCG, is introduced to solve PPE. After decomposing computational domain into subdomains which are one by one assigned to different nodes of a cluster, the MPI model is used to exchange the information of particles between the adjacent subdomains and the OpenMP model is used to accelerate the simulation in each node. It is shown that MPS can be accelerated by 37.5 times on a cluster with 100 CPU cores by the hybrid OpenMP/MPI model.

Original language | English |
---|---|

Pages (from-to) | 2077-2080 |

Number of pages | 4 |

Journal | Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics |

Volume | 34 |

Issue number | 11 |

Publication status | Published - 2013 Nov 1 |

Externally published | Yes |

### Fingerprint

### Keywords

- MPS
- OpenMP/MPI
- Pressure poisson equation
- Symmetric Lanczos algorithm

### ASJC Scopus subject areas

- Materials Science(all)
- Condensed Matter Physics
- Mechanical Engineering

### Cite this

*Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics*,

*34*(11), 2077-2080.

**Parallelization of moving particle semi-implicit method.** / Duan, Guangtao; Chen, Bin.

Research output: Contribution to journal › Article

*Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics*, vol. 34, no. 11, pp. 2077-2080.

}

TY - JOUR

T1 - Parallelization of moving particle semi-implicit method

AU - Duan, Guangtao

AU - Chen, Bin

PY - 2013/11/1

Y1 - 2013/11/1

N2 - The Moving Particle Semi-implicit Method (MPS) has been proven useful in simulation of free-surface flows. One of its main drawbacks is the high computational load. The solution for the Pressure Poisson Equation (PPE) is the critical issue in parallelizing the MPS algorithm because it is the most time-consuming part and the original ICCG solver is difficult to parallelize. The Symmetric Lanczos Algorithm (SLA), which is easy to parallelize and as effective as ICCG, is introduced to solve PPE. After decomposing computational domain into subdomains which are one by one assigned to different nodes of a cluster, the MPI model is used to exchange the information of particles between the adjacent subdomains and the OpenMP model is used to accelerate the simulation in each node. It is shown that MPS can be accelerated by 37.5 times on a cluster with 100 CPU cores by the hybrid OpenMP/MPI model.

AB - The Moving Particle Semi-implicit Method (MPS) has been proven useful in simulation of free-surface flows. One of its main drawbacks is the high computational load. The solution for the Pressure Poisson Equation (PPE) is the critical issue in parallelizing the MPS algorithm because it is the most time-consuming part and the original ICCG solver is difficult to parallelize. The Symmetric Lanczos Algorithm (SLA), which is easy to parallelize and as effective as ICCG, is introduced to solve PPE. After decomposing computational domain into subdomains which are one by one assigned to different nodes of a cluster, the MPI model is used to exchange the information of particles between the adjacent subdomains and the OpenMP model is used to accelerate the simulation in each node. It is shown that MPS can be accelerated by 37.5 times on a cluster with 100 CPU cores by the hybrid OpenMP/MPI model.

KW - MPS

KW - OpenMP/MPI

KW - Pressure poisson equation

KW - Symmetric Lanczos algorithm

UR - http://www.scopus.com/inward/record.url?scp=84889248734&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84889248734&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84889248734

VL - 34

SP - 2077

EP - 2080

JO - Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics

JF - Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics

SN - 0253-231X

IS - 11

ER -