{"title":"使用OpenGL的分布式栅格化","authors":"David Calvert, D. Thompson","doi":"10.1109/HPCSA.2002.1019171","DOIUrl":null,"url":null,"abstract":"This work examines the facility of using a large distributed memory system for rasterization of computer graphics using the OpenGL and GLUT libraries. Issues examined include the performance increases achieved through parallel processing and the effects of different methods for dividing the framebuffer over multiple processors.","PeriodicalId":111862,"journal":{"name":"Proceedings 16th Annual International Symposium on High Performance Computing Systems and Applications","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distributed rasterization using OpenGL\",\"authors\":\"David Calvert, D. Thompson\",\"doi\":\"10.1109/HPCSA.2002.1019171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work examines the facility of using a large distributed memory system for rasterization of computer graphics using the OpenGL and GLUT libraries. Issues examined include the performance increases achieved through parallel processing and the effects of different methods for dividing the framebuffer over multiple processors.\",\"PeriodicalId\":111862,\"journal\":{\"name\":\"Proceedings 16th Annual International Symposium on High Performance Computing Systems and Applications\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 16th Annual International Symposium on High Performance Computing Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPCSA.2002.1019171\",\"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 16th Annual International Symposium on High Performance Computing Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCSA.2002.1019171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This work examines the facility of using a large distributed memory system for rasterization of computer graphics using the OpenGL and GLUT libraries. Issues examined include the performance increases achieved through parallel processing and the effects of different methods for dividing the framebuffer over multiple processors.