Parallel implementation of macro-scale pseudo-particle simulation for particle-fluid systems
文献类型：期刊论文
| 作者 | Wang, XW; Guo, L; Ge, W; Tang, DX; Ma, JS; Yang, ZY; Li, JH |
| 刊名 | COMPUTERS & CHEMICAL ENGINEERING
 |
| 出版日期 | 2005-06-15 |
| 卷号 | 29期号:7页码:1543-1553 |
| 关键词 | particle-fluid systems macro-scale pseudo-particle modeling parallel algorithm dynamic load balancing |
| ISSN号 | 0098-1354 |
| 其他题名 | Comput. Chem. Eng. |
| 中文摘要 | As a particle method, macro-scale pseudo-particle modeling (MaPPM) is an effective approach applied to micro-scale simulation of particle-fluid systems. In this paper, a parallel algorithm for macro-scale pseudo-particle modeling based on spatial decomposition (SD) is presented. The parallel implementation utilizes MPI as the programming environment. Due to movement of particles during simulation, the parallelization of MaPPM may suffer from load imbalance and attendant performance degradation. Recursive Coordinate Bisection (RCB) is adopted to partition the whole computational domain in a dynamic fashion to balance the workload in processors. The Shift scheme is modified to meet the communication requirement in the dynamic partition. The parallel approach was applied to simulation of bubble behavior in gas-solid fluidized beds with different system sizes to test its performance. The computations were conducted on cluster of workstations (COW). Experimental results show that the algorithm has a good scalability. With dynamic load balancing (DLB), the parallel efficiency can be improved by up to 8%. To sum up, it was a successful implementation for the parallelization of macro-scale pseudo-particle modeling. (c) 2004 Elsevier Ltd. All rights reserved. |
| 英文摘要 | As a particle method, macro-scale pseudo-particle modeling (MaPPM) is an effective approach applied to micro-scale simulation of particle-fluid systems. In this paper, a parallel algorithm for macro-scale pseudo-particle modeling based on spatial decomposition (SD) is presented. The parallel implementation utilizes MPI as the programming environment. Due to movement of particles during simulation, the parallelization of MaPPM may suffer from load imbalance and attendant performance degradation. Recursive Coordinate Bisection (RCB) is adopted to partition the whole computational domain in a dynamic fashion to balance the workload in processors. The Shift scheme is modified to meet the communication requirement in the dynamic partition. The parallel approach was applied to simulation of bubble behavior in gas-solid fluidized beds with different system sizes to test its performance. The computations were conducted on cluster of workstations (COW). Experimental results show that the algorithm has a good scalability. With dynamic load balancing (DLB), the parallel efficiency can be improved by up to 8%. To sum up, it was a successful implementation for the parallelization of macro-scale pseudo-particle modeling. (c) 2004 Elsevier Ltd. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Interdisciplinary Applications ; Engineering, Chemical |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | RANGE MOLECULAR-DYNAMICS ; HYDRODYNAMICS ; MECHANICS |
| 收录类别 | SCI |
| 原文出处 | |
| 语种 | 英语 |
| WOS记录号 | WOS:000229955500003 |
| 公开日期 | 2013-10-25 |
| 版本 | 出版稿 |
| 源URL | [http://ir.ipe.ac.cn/handle/122111/4217]  |
| 专题 | 过程工程研究所_研究所（批量导入） |
| 作者单位 | Chinese Acad Sci, Inst Proc Engn, Multiphase React Lab, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, XW,Guo, L,Ge, W,et al. Parallel implementation of macro-scale pseudo-particle simulation for particle-fluid systems[J]. COMPUTERS & CHEMICAL ENGINEERING,2005,29(7):1543-1553. |
| APA | Wang, XW.,Guo, L.,Ge, W.,Tang, DX.,Ma, JS.,...&Li, JH.(2005).Parallel implementation of macro-scale pseudo-particle simulation for particle-fluid systems.COMPUTERS & CHEMICAL ENGINEERING,29(7),1543-1553. |
| MLA | Wang, XW,et al."Parallel implementation of macro-scale pseudo-particle simulation for particle-fluid systems".COMPUTERS & CHEMICAL ENGINEERING 29.7(2005):1543-1553. |
入库方式： OAI收割
来源：过程工程研究所
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