{"title":"体射线投射的平行性能测量","authors":"Cláudio T. Silva, A. Kaufman","doi":"10.1109/VISUAL.1994.346319","DOIUrl":null,"url":null,"abstract":"Describes a technique for achieving fast volume ray-casting on parallel machines, using a load-balancing scheme and an efficient pipelined approach to compositing. We propose a new model for measuring the amount of work one needs to perform in order to render a given volume, and we use this model to obtain a better load-balancing scheme for distributed memory machines. We also discuss in detail the design trade-offs of our technique. In order to validate our model, we have implemented it on the Intel iPSC/860 and the Intel Paragon, and conducted a detailed performance analysis.<<ETX>>","PeriodicalId":273215,"journal":{"name":"Proceedings Visualization '94","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":"{\"title\":\"Parallel performance measures for volume ray casting\",\"authors\":\"Cláudio T. Silva, A. Kaufman\",\"doi\":\"10.1109/VISUAL.1994.346319\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Describes a technique for achieving fast volume ray-casting on parallel machines, using a load-balancing scheme and an efficient pipelined approach to compositing. We propose a new model for measuring the amount of work one needs to perform in order to render a given volume, and we use this model to obtain a better load-balancing scheme for distributed memory machines. We also discuss in detail the design trade-offs of our technique. In order to validate our model, we have implemented it on the Intel iPSC/860 and the Intel Paragon, and conducted a detailed performance analysis.<<ETX>>\",\"PeriodicalId\":273215,\"journal\":{\"name\":\"Proceedings Visualization '94\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"31\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Visualization '94\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VISUAL.1994.346319\",\"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 Visualization '94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VISUAL.1994.346319","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallel performance measures for volume ray casting
Describes a technique for achieving fast volume ray-casting on parallel machines, using a load-balancing scheme and an efficient pipelined approach to compositing. We propose a new model for measuring the amount of work one needs to perform in order to render a given volume, and we use this model to obtain a better load-balancing scheme for distributed memory machines. We also discuss in detail the design trade-offs of our technique. In order to validate our model, we have implemented it on the Intel iPSC/860 and the Intel Paragon, and conducted a detailed performance analysis.<>