C. González-Morcillo, David Vallejo-Fernandez, J. Albusac, Luis Jiménez, J. J. Castro-Schez
{"title":"面向分布式渲染的网格计算新方法","authors":"C. González-Morcillo, David Vallejo-Fernandez, J. Albusac, Luis Jiménez, J. J. Castro-Schez","doi":"10.1109/3PGCIC.2011.12","DOIUrl":null,"url":null,"abstract":"Photo realistic Image Synthesis requires high computational power to generate virtual images from 3D models. In fact, the rendering of a single high-quality image may take days even on powerful computers. In this paper, we present a novel approach based on grid philosophy and the P2P model for distributed rendering. The grid allows us to face this challenge through a highly scalable decentralized architecture, which has been developed and evaluated to carry out rendering of single frames and full animations. An empirical comparison is established with a rendering cluster also developed for this work to generate images for monitoring applications. The main contribution of this paper is to reduce the gap between distributed rendering and the grid by empirically showing the advantages of this approach.","PeriodicalId":251730,"journal":{"name":"2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"A New Approach to Grid Computing for Distributed Rendering\",\"authors\":\"C. González-Morcillo, David Vallejo-Fernandez, J. Albusac, Luis Jiménez, J. J. Castro-Schez\",\"doi\":\"10.1109/3PGCIC.2011.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Photo realistic Image Synthesis requires high computational power to generate virtual images from 3D models. In fact, the rendering of a single high-quality image may take days even on powerful computers. In this paper, we present a novel approach based on grid philosophy and the P2P model for distributed rendering. The grid allows us to face this challenge through a highly scalable decentralized architecture, which has been developed and evaluated to carry out rendering of single frames and full animations. An empirical comparison is established with a rendering cluster also developed for this work to generate images for monitoring applications. The main contribution of this paper is to reduce the gap between distributed rendering and the grid by empirically showing the advantages of this approach.\",\"PeriodicalId\":251730,\"journal\":{\"name\":\"2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/3PGCIC.2011.12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3PGCIC.2011.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Approach to Grid Computing for Distributed Rendering
Photo realistic Image Synthesis requires high computational power to generate virtual images from 3D models. In fact, the rendering of a single high-quality image may take days even on powerful computers. In this paper, we present a novel approach based on grid philosophy and the P2P model for distributed rendering. The grid allows us to face this challenge through a highly scalable decentralized architecture, which has been developed and evaluated to carry out rendering of single frames and full animations. An empirical comparison is established with a rendering cluster also developed for this work to generate images for monitoring applications. The main contribution of this paper is to reduce the gap between distributed rendering and the grid by empirically showing the advantages of this approach.