{"title":"RTRT核心","authors":"I. Wald","doi":"10.1145/1198555.1198744","DOIUrl":null,"url":null,"abstract":"The overall design decisions of the RTRT/OpenRT framework are described in detail in [Wald04]. To summarize the most important points, we have chosen to only support triangles, to exploit SIMD extensions in a data-parallel way, to optimize for memory and caches, and to use BSP trees as an acceleration structure. In this chapter, we are now going to discuss the actual algorithms and implementation of these topics in more detail.","PeriodicalId":192758,"journal":{"name":"ACM SIGGRAPH 2005 Courses","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The RTRT core\",\"authors\":\"I. Wald\",\"doi\":\"10.1145/1198555.1198744\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The overall design decisions of the RTRT/OpenRT framework are described in detail in [Wald04]. To summarize the most important points, we have chosen to only support triangles, to exploit SIMD extensions in a data-parallel way, to optimize for memory and caches, and to use BSP trees as an acceleration structure. In this chapter, we are now going to discuss the actual algorithms and implementation of these topics in more detail.\",\"PeriodicalId\":192758,\"journal\":{\"name\":\"ACM SIGGRAPH 2005 Courses\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGGRAPH 2005 Courses\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1198555.1198744\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH 2005 Courses","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1198555.1198744","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The overall design decisions of the RTRT/OpenRT framework are described in detail in [Wald04]. To summarize the most important points, we have chosen to only support triangles, to exploit SIMD extensions in a data-parallel way, to optimize for memory and caches, and to use BSP trees as an acceleration structure. In this chapter, we are now going to discuss the actual algorithms and implementation of these topics in more detail.
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