{"title":"二维网格结构上排序多边形绘制的图像合成方法","authors":"Tong-Yee Lee, C. Raghavendra, J. Nicholas","doi":"10.1145/218327.218337","DOIUrl":null,"url":null,"abstract":"In this paper, a new sort-last parallel polygon rendering implementation is given for 2-D mesh message-passing architectures such as the Ineel Delta and Paragon. Our implementation provides a very fast rendering rate for extremely large sets of polygons, a requirement of scientific visualization, C A D / C A M , and many other applications. We implement and evaluate our scheme on the Intel Delta parallel computer at Caltech. Using 512 processors to render Eric Haines's SPD s tandard scenes, our scheme achieves a rendering rate of 2.8 4.0 million triangles/second. K e y w o r d s : Polygon Rendering, SPD, Delta, Load Balancing","PeriodicalId":101947,"journal":{"name":"Proceedings of the IEEE symposium on Parallel rendering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Image composition methods for sort-last polygon rendering on 2-D mesh architectures\",\"authors\":\"Tong-Yee Lee, C. Raghavendra, J. Nicholas\",\"doi\":\"10.1145/218327.218337\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new sort-last parallel polygon rendering implementation is given for 2-D mesh message-passing architectures such as the Ineel Delta and Paragon. Our implementation provides a very fast rendering rate for extremely large sets of polygons, a requirement of scientific visualization, C A D / C A M , and many other applications. We implement and evaluate our scheme on the Intel Delta parallel computer at Caltech. Using 512 processors to render Eric Haines's SPD s tandard scenes, our scheme achieves a rendering rate of 2.8 4.0 million triangles/second. K e y w o r d s : Polygon Rendering, SPD, Delta, Load Balancing\",\"PeriodicalId\":101947,\"journal\":{\"name\":\"Proceedings of the IEEE symposium on Parallel rendering\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE symposium on Parallel rendering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/218327.218337\",\"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 IEEE symposium on Parallel rendering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/218327.218337","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
摘要
本文针对二维网格消息传递体系结构(如Ineel Delta和Paragon)，给出了一种新的排序-最后并行多边形渲染实现。我们的实现为非常大的多边形集提供了非常快的渲染速度，这是科学可视化、C - a - D / C - a - M和许多其他应用程序的要求。我们在加州理工学院的Intel Delta并行计算机上实现并评估了我们的方案。使用512个处理器来渲染Eric Haines的SPD标准场景，我们的方案实现了280万个三角形/秒的渲染速率。我最喜欢的是:多边形渲染，SPD, Delta，负载平衡
Image composition methods for sort-last polygon rendering on 2-D mesh architectures
In this paper, a new sort-last parallel polygon rendering implementation is given for 2-D mesh message-passing architectures such as the Ineel Delta and Paragon. Our implementation provides a very fast rendering rate for extremely large sets of polygons, a requirement of scientific visualization, C A D / C A M , and many other applications. We implement and evaluate our scheme on the Intel Delta parallel computer at Caltech. Using 512 processors to render Eric Haines's SPD s tandard scenes, our scheme achieves a rendering rate of 2.8 4.0 million triangles/second. K e y w o r d s : Polygon Rendering, SPD, Delta, Load Balancing
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