{"title":"共享内存架构上的光线投射:体绘制中的内存层次考虑","authors":"M. E. Palmer, B. Totty, Stephen Taylor","doi":"10.1109/4434.656777","DOIUrl":null,"url":null,"abstract":"To improve ray casting frame rates on shared memory architectures, the authors explore memory hierarchy effects and their interaction with parallel partitioning and load balancing. With their optimizations, a 16-processor Power Challenge machine renders a 1-Gbyte data set at a frame per second-faster than previously reported for a data set this large.","PeriodicalId":282630,"journal":{"name":"IEEE Concurr.","volume":"123 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Ray casting on shared-memory architectures: memory-hierarchy considerations in volume rendering\",\"authors\":\"M. E. Palmer, B. Totty, Stephen Taylor\",\"doi\":\"10.1109/4434.656777\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To improve ray casting frame rates on shared memory architectures, the authors explore memory hierarchy effects and their interaction with parallel partitioning and load balancing. With their optimizations, a 16-processor Power Challenge machine renders a 1-Gbyte data set at a frame per second-faster than previously reported for a data set this large.\",\"PeriodicalId\":282630,\"journal\":{\"name\":\"IEEE Concurr.\",\"volume\":\"123 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Concurr.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/4434.656777\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Concurr.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/4434.656777","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ray casting on shared-memory architectures: memory-hierarchy considerations in volume rendering
To improve ray casting frame rates on shared memory architectures, the authors explore memory hierarchy effects and their interaction with parallel partitioning and load balancing. With their optimizations, a 16-processor Power Challenge machine renders a 1-Gbyte data set at a frame per second-faster than previously reported for a data set this large.
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