John Douglas Owens, W. Dally, U. Kapasi, S. Rixner, P. Mattson, B. Mowery
{"title":"Polygon rendering on a stream architecture","authors":"John Douglas Owens, W. Dally, U. Kapasi, S. Rixner, P. Mattson, B. Mowery","doi":"10.1145/346876.346883","DOIUrl":null,"url":null,"abstract":"The use of a programmable stream architecture in polygon rendering provides a powerful mechanism to address the high performance needs of today's complex scenes as well as the need for flexibility and programmability in the polygon rendering pipeline. We describe how a polygon rendering pipeline maps into data streams and kernels that operate on streams, and how this mapping is used to implement the polgyon rendering pipeline on Imagine, a programmable stream processor. We compare our results on a cycle-accurate simulation of Imagine to representative hardware and software renderers.","PeriodicalId":298241,"journal":{"name":"Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardware","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"53","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardware","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/346876.346883","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 53
Abstract
The use of a programmable stream architecture in polygon rendering provides a powerful mechanism to address the high performance needs of today's complex scenes as well as the need for flexibility and programmability in the polygon rendering pipeline. We describe how a polygon rendering pipeline maps into data streams and kernels that operate on streams, and how this mapping is used to implement the polgyon rendering pipeline on Imagine, a programmable stream processor. We compare our results on a cycle-accurate simulation of Imagine to representative hardware and software renderers.