{"title":"一种大规模地形并行绘制算法","authors":"He Bing, Sui Lei","doi":"10.1109/ICCEA.2010.108","DOIUrl":null,"url":null,"abstract":"This paper has put forward a type of parallel rendering algorithm for large-scale terrain. Based on Sort-First tactics, this paper has proposed a load balancing algorithm to achieve relatively small extra overhead and relatively balanced load distribution while guarantee relatively high load calculation and distribution efficiency at the same time. The modified nested grid algorithm for terrain rendering decreases the pressure on calculating view frustum culling during load balancing while increases rendering efficiency at the same time. In this paper, we use JPEG lossy compression to process image data to be transmitted, and use effective synchronization mechanism between two nodes, so as to further improve system efficiency.","PeriodicalId":207234,"journal":{"name":"2010 Second International Conference on Computer Engineering and Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Parallel Rendering Algorithm for Large-Scale Terrain\",\"authors\":\"He Bing, Sui Lei\",\"doi\":\"10.1109/ICCEA.2010.108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper has put forward a type of parallel rendering algorithm for large-scale terrain. Based on Sort-First tactics, this paper has proposed a load balancing algorithm to achieve relatively small extra overhead and relatively balanced load distribution while guarantee relatively high load calculation and distribution efficiency at the same time. The modified nested grid algorithm for terrain rendering decreases the pressure on calculating view frustum culling during load balancing while increases rendering efficiency at the same time. In this paper, we use JPEG lossy compression to process image data to be transmitted, and use effective synchronization mechanism between two nodes, so as to further improve system efficiency.\",\"PeriodicalId\":207234,\"journal\":{\"name\":\"2010 Second International Conference on Computer Engineering and Applications\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second International Conference on Computer Engineering and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEA.2010.108\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Computer Engineering and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEA.2010.108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Parallel Rendering Algorithm for Large-Scale Terrain
This paper has put forward a type of parallel rendering algorithm for large-scale terrain. Based on Sort-First tactics, this paper has proposed a load balancing algorithm to achieve relatively small extra overhead and relatively balanced load distribution while guarantee relatively high load calculation and distribution efficiency at the same time. The modified nested grid algorithm for terrain rendering decreases the pressure on calculating view frustum culling during load balancing while increases rendering efficiency at the same time. In this paper, we use JPEG lossy compression to process image data to be transmitted, and use effective synchronization mechanism between two nodes, so as to further improve system efficiency.