{"title":"A particle-based parallel scheme for material point method (MPM) using message passing interface (MPI)","authors":"Tak-Hoe Ku, Hyun-Gyu Kim","doi":"10.1007/s40571-022-00480-y","DOIUrl":null,"url":null,"abstract":"<div><p>Material point method (MPM) requires a high computational cost associated with mapping information between a background grid and material particles even though it has a great advantage of solving large deformation problems. This paper presents a particle-based parallel scheme for MPM using message passing interface to effectively reduce the computational cost of MPM. Unlike grid-based parallel schemes, computational workloads are evenly distributed over the computing cores by partitioning material particles into balanced particle subsets. The particle-based parallel scheme guarantees an optimal load balancing between the computing cores because the same number of material particles are assigned to each core. The performance of the present particle-based parallel scheme is compared with that of a grid-based parallel scheme.</p></div>","PeriodicalId":524,"journal":{"name":"Computational Particle Mechanics","volume":"10 1","pages":"61 - 76"},"PeriodicalIF":2.8000,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Particle Mechanics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s40571-022-00480-y","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Material point method (MPM) requires a high computational cost associated with mapping information between a background grid and material particles even though it has a great advantage of solving large deformation problems. This paper presents a particle-based parallel scheme for MPM using message passing interface to effectively reduce the computational cost of MPM. Unlike grid-based parallel schemes, computational workloads are evenly distributed over the computing cores by partitioning material particles into balanced particle subsets. The particle-based parallel scheme guarantees an optimal load balancing between the computing cores because the same number of material particles are assigned to each core. The performance of the present particle-based parallel scheme is compared with that of a grid-based parallel scheme.
材料点法(Material point method, MPM)具有解决大变形问题的优势，但其背景网格与材料粒子之间映射信息的计算成本较高。本文提出了一种利用消息传递接口的粒子并行方案，有效地降低了粒子模型的计算量。与基于网格的并行方案不同，通过将材料粒子划分为平衡的粒子子集，计算工作负载均匀分布在计算核心上。基于粒子的并行方案保证了计算核心之间的最佳负载平衡，因为每个核心分配了相同数量的材料粒子。将粒子并行算法的性能与网格并行算法的性能进行了比较。
期刊介绍：
GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research.
SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including:
(a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc.,
(b) Particles representing material phases in continua at the meso-, micro-and nano-scale and
(c) Particles as a discretization unit in continua and discontinua in numerical methods such as
Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.
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