{"title":"A mapping algorithm for domain decomposition in massively parallel finite element analysis","authors":"Sanjeev Gupta , Martin R. Ramirez","doi":"10.1016/0956-0521(95)00013-P","DOIUrl":null,"url":null,"abstract":"<div><p>A new mapping algorithm is presented for domain decomposition for the purpose of allowing researchers to conduct finite element analysis on massively parallel computers. Over the last few years, massively parallel MIMD machines such as the Intel Touchstone Delta and recently the Intel Touchstone Paragon have become increasingly popular for speeding up finite element computations. Most of these applications use domain decomposition as a first step towards conquering the problem. Many different algorithms have been developed by researchers to achieve an effective domain decomposition. Some of these methods use connectivity information only, some use coordinate information only, while others use both of them together. Some algorithms are based on assigning weights to nodes using a particular strategy while others are recursive in nature. As will be discussed in this paper, the logic employed in various algorithms works perfectly well for certain meshes to be decomposed, in certain numbers of subdomains; while it gives far from perfect results for other meshes or for same meshes to be decomposed in a different number of subdomains. The logic used in the proposed algorithm has been developed in a creative way such that it is closer to a human's natural thinking when making decisions. Fairly large meshes can be decomposed in a matter of seconds on a Sun Sparc station by the proposed algorithm. Its execution time remains almost the same for any number of subdomains.</p></div>","PeriodicalId":100325,"journal":{"name":"Computing Systems in Engineering","volume":"6 2","pages":"Pages 111-150"},"PeriodicalIF":0.0000,"publicationDate":"1995-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0956-0521(95)00013-P","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computing Systems in Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/095605219500013P","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
A new mapping algorithm is presented for domain decomposition for the purpose of allowing researchers to conduct finite element analysis on massively parallel computers. Over the last few years, massively parallel MIMD machines such as the Intel Touchstone Delta and recently the Intel Touchstone Paragon have become increasingly popular for speeding up finite element computations. Most of these applications use domain decomposition as a first step towards conquering the problem. Many different algorithms have been developed by researchers to achieve an effective domain decomposition. Some of these methods use connectivity information only, some use coordinate information only, while others use both of them together. Some algorithms are based on assigning weights to nodes using a particular strategy while others are recursive in nature. As will be discussed in this paper, the logic employed in various algorithms works perfectly well for certain meshes to be decomposed, in certain numbers of subdomains; while it gives far from perfect results for other meshes or for same meshes to be decomposed in a different number of subdomains. The logic used in the proposed algorithm has been developed in a creative way such that it is closer to a human's natural thinking when making decisions. Fairly large meshes can be decomposed in a matter of seconds on a Sun Sparc station by the proposed algorithm. Its execution time remains almost the same for any number of subdomains.