Luiz F. Scheidegger, H. Vo, J. Krüger, Cláudio T. Silva, J. Comba
{"title":"与显示墙并行的大数据可视化","authors":"Luiz F. Scheidegger, H. Vo, J. Krüger, Cláudio T. Silva, J. Comba","doi":"10.1117/12.912032","DOIUrl":null,"url":null,"abstract":"While there exist popular software tools that leverage the power of arrays of tiled high resolution displays, they \nusually require either the use of a particular API or significant programming effort to be properly configured. \nWe present PVW (Parallel Visualization using display Walls), a framework that uses display walls for scientific \nvisualization, requiring minimum labor in setup, programming and configuration. PVW works as a plug-in to \npipeline-based visualization software, and allows users to migrate existing visualizations designed for a single-workstation, \nsingle-display setup to a large tiled display running on a distributed machine. Our framework is \nalso extensible, allowing different APIs and algorithms to be made display wall-aware with minimum effort.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"13 1","pages":"82940C"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Parallel large data visualization with display walls\",\"authors\":\"Luiz F. Scheidegger, H. Vo, J. Krüger, Cláudio T. Silva, J. Comba\",\"doi\":\"10.1117/12.912032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"While there exist popular software tools that leverage the power of arrays of tiled high resolution displays, they \\nusually require either the use of a particular API or significant programming effort to be properly configured. \\nWe present PVW (Parallel Visualization using display Walls), a framework that uses display walls for scientific \\nvisualization, requiring minimum labor in setup, programming and configuration. PVW works as a plug-in to \\npipeline-based visualization software, and allows users to migrate existing visualizations designed for a single-workstation, \\nsingle-display setup to a large tiled display running on a distributed machine. Our framework is \\nalso extensible, allowing different APIs and algorithms to be made display wall-aware with minimum effort.\",\"PeriodicalId\":89305,\"journal\":{\"name\":\"Visualization and data analysis\",\"volume\":\"13 1\",\"pages\":\"82940C\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Visualization and data analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.912032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Visualization and data analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.912032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallel large data visualization with display walls
While there exist popular software tools that leverage the power of arrays of tiled high resolution displays, they
usually require either the use of a particular API or significant programming effort to be properly configured.
We present PVW (Parallel Visualization using display Walls), a framework that uses display walls for scientific
visualization, requiring minimum labor in setup, programming and configuration. PVW works as a plug-in to
pipeline-based visualization software, and allows users to migrate existing visualizations designed for a single-workstation,
single-display setup to a large tiled display running on a distributed machine. Our framework is
also extensible, allowing different APIs and algorithms to be made display wall-aware with minimum effort.