{"title":"分布式内存机的并行细化","authors":"J. Baek, K. Teague","doi":"10.1109/DMCC.1990.555364","DOIUrl":null,"url":null,"abstract":"A p a r a l l e l th inning algor i thm based on boundary fo l lowing i s presented i n t h i s paper. The boundary o f each object region i s extracted and l inked i n pa ra l l e l . The resu l t ing object boundary data i s div ided based on the object s ize and the nurrber o f nodes f o r load balancing, then the divided objects are red is t r ibu ted t o the nodes. Each boundary i n a node i s projected on a Ilworking planell. Next, the boundary data i s repeatedly shrunken unti l only the skeleton o f the region remains. The conventional i t e r a t i v e pa ra l l e l algori thm as wel l as our new algor i thm are implemented on a hypercubetopology multiprocessor computer, the I n t e l iPSC/2. The two algorithms are compared and analyzed. Some resu l t ing f igures and execution times are presented.","PeriodicalId":204431,"journal":{"name":"Proceedings of the Fifth Distributed Memory Computing Conference, 1990.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Parallel Thinning on a Distributed Memory Machine\",\"authors\":\"J. Baek, K. Teague\",\"doi\":\"10.1109/DMCC.1990.555364\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A p a r a l l e l th inning algor i thm based on boundary fo l lowing i s presented i n t h i s paper. The boundary o f each object region i s extracted and l inked i n pa ra l l e l . The resu l t ing object boundary data i s div ided based on the object s ize and the nurrber o f nodes f o r load balancing, then the divided objects are red is t r ibu ted t o the nodes. Each boundary i n a node i s projected on a Ilworking planell. Next, the boundary data i s repeatedly shrunken unti l only the skeleton o f the region remains. The conventional i t e r a t i v e pa ra l l e l algori thm as wel l as our new algor i thm are implemented on a hypercubetopology multiprocessor computer, the I n t e l iPSC/2. The two algorithms are compared and analyzed. Some resu l t ing f igures and execution times are presented.\",\"PeriodicalId\":204431,\"journal\":{\"name\":\"Proceedings of the Fifth Distributed Memory Computing Conference, 1990.\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Fifth Distributed Memory Computing Conference, 1990.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DMCC.1990.555364\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fifth Distributed Memory Computing Conference, 1990.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DMCC.1990.555364","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A p a r a l l e l th inning algor i thm based on boundary fo l lowing i s presented i n t h i s paper. The boundary o f each object region i s extracted and l inked i n pa ra l l e l . The resu l t ing object boundary data i s div ided based on the object s ize and the nurrber o f nodes f o r load balancing, then the divided objects are red is t r ibu ted t o the nodes. Each boundary i n a node i s projected on a Ilworking planell. Next, the boundary data i s repeatedly shrunken unti l only the skeleton o f the region remains. The conventional i t e r a t i v e pa ra l l e l algori thm as wel l as our new algor i thm are implemented on a hypercubetopology multiprocessor computer, the I n t e l iPSC/2. The two algorithms are compared and analyzed. Some resu l t ing f igures and execution times are presented.