{"title":"基于转发器的机器上的z -缓冲器","authors":"Jian-jin Li, S. Miguet","doi":"10.1109/DMCC.1991.633155","DOIUrl":null,"url":null,"abstract":"This paper describes the parallel implementation of the Z-Buffer algorithm on a distributed memory machine. The Z-Buffer is one of the most popular techniques used to generate a representation of a scene consisting of objects in a 3-dimensional world. We propose and compare two different parallel implementations on a network of Transputers. In the first approach, the description of the scene is distributed among the processors configured as a tree. The picture is processed in a pipelined fashion, in order to output parts of the image during the computation of the remainder. In a second approach, both the picture and the scene description are distributed to the processors. interconnected in a ring. We have therefore to redistribute dynamically the tiles among the processors at the beginning of the computation. We show thlat the two approaches are complementary : for small pictures or large scenes, a tree-based algorithm performs better than a ringbased algorithm, but for large pictures or small scenes, it is the other way round. We obtain substantial speedups over the sequential implementation, with up to 32 processors.","PeriodicalId":313314,"journal":{"name":"The Sixth Distributed Memory Computing Conference, 1991. Proceedings","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Z-Buffer on a Transputer-Based Machine\",\"authors\":\"Jian-jin Li, S. Miguet\",\"doi\":\"10.1109/DMCC.1991.633155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the parallel implementation of the Z-Buffer algorithm on a distributed memory machine. The Z-Buffer is one of the most popular techniques used to generate a representation of a scene consisting of objects in a 3-dimensional world. We propose and compare two different parallel implementations on a network of Transputers. In the first approach, the description of the scene is distributed among the processors configured as a tree. The picture is processed in a pipelined fashion, in order to output parts of the image during the computation of the remainder. In a second approach, both the picture and the scene description are distributed to the processors. interconnected in a ring. We have therefore to redistribute dynamically the tiles among the processors at the beginning of the computation. We show thlat the two approaches are complementary : for small pictures or large scenes, a tree-based algorithm performs better than a ringbased algorithm, but for large pictures or small scenes, it is the other way round. We obtain substantial speedups over the sequential implementation, with up to 32 processors.\",\"PeriodicalId\":313314,\"journal\":{\"name\":\"The Sixth Distributed Memory Computing Conference, 1991. Proceedings\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Sixth Distributed Memory Computing Conference, 1991. Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DMCC.1991.633155\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Sixth Distributed Memory Computing Conference, 1991. Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DMCC.1991.633155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper describes the parallel implementation of the Z-Buffer algorithm on a distributed memory machine. The Z-Buffer is one of the most popular techniques used to generate a representation of a scene consisting of objects in a 3-dimensional world. We propose and compare two different parallel implementations on a network of Transputers. In the first approach, the description of the scene is distributed among the processors configured as a tree. The picture is processed in a pipelined fashion, in order to output parts of the image during the computation of the remainder. In a second approach, both the picture and the scene description are distributed to the processors. interconnected in a ring. We have therefore to redistribute dynamically the tiles among the processors at the beginning of the computation. We show thlat the two approaches are complementary : for small pictures or large scenes, a tree-based algorithm performs better than a ringbased algorithm, but for large pictures or small scenes, it is the other way round. We obtain substantial speedups over the sequential implementation, with up to 32 processors.