{"title":"无关缓存扫描线算法设计","authors":"Mizanur Rahman","doi":"10.1109/CGIV.2007.22","DOIUrl":null,"url":null,"abstract":"This paper introduces the concept of cache-oblivious scanline algorithms and their design issues to overcome the limitations of cache size and cache line-length within existing workstations, making them suitable for the visualisation of very large 3D data sets. Unlike the standard RAM model, the cache-oblivious model can tune cache parameters without knowing them to minimize cache misses and data movement among multiple levels of caches.","PeriodicalId":433577,"journal":{"name":"Computer Graphics, Imaging and Visualisation (CGIV 2007)","volume":"63 9-10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cache-Oblivious Scanline Algorithm Design\",\"authors\":\"Mizanur Rahman\",\"doi\":\"10.1109/CGIV.2007.22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces the concept of cache-oblivious scanline algorithms and their design issues to overcome the limitations of cache size and cache line-length within existing workstations, making them suitable for the visualisation of very large 3D data sets. Unlike the standard RAM model, the cache-oblivious model can tune cache parameters without knowing them to minimize cache misses and data movement among multiple levels of caches.\",\"PeriodicalId\":433577,\"journal\":{\"name\":\"Computer Graphics, Imaging and Visualisation (CGIV 2007)\",\"volume\":\"63 9-10\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Graphics, Imaging and Visualisation (CGIV 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CGIV.2007.22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Graphics, Imaging and Visualisation (CGIV 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CGIV.2007.22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper introduces the concept of cache-oblivious scanline algorithms and their design issues to overcome the limitations of cache size and cache line-length within existing workstations, making them suitable for the visualisation of very large 3D data sets. Unlike the standard RAM model, the cache-oblivious model can tune cache parameters without knowing them to minimize cache misses and data movement among multiple levels of caches.