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@InProceedings{CordeiroChai:2010:SyReMa,
               author = "Cordeiro, Carl{\'u}cio Santos and Chaimowicz, Luiz",
          affiliation = "{Universidade Federal de Minas Gerais} and {Universidade Federal 
                         de Minas Gerais}",
                title = "Predictive Lazy Amplification: Synthesis and Rendering of Massive 
                         Procedural Scenes in Real Time",
            booktitle = "Proceedings...",
                 year = "2010",
               editor = "Bellon, Olga and Esperan{\c{c}}a, Claudio",
         organization = "Conference on Graphics, Patterns and Images, 23. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Rendering , Modeling and reconstruction.",
             abstract = "In this paper we propose a new paradigm for procedural modeling 
                         that enables the real time visualization of massive procedural 
                         scenes. For this, we use a combination of memory and task 
                         management with two well known procedural modeling paradigms: data 
                         amplification and lazy evaluation. Experimental results show that, 
                         in addition to obtaining performance gains through parallelism, 
                         the implemented system can generate and visualize a procedural 
                         scene far greater than the available memory in real time using 
                         only a single PC equipped with a GPU and a multicore processor.",
  conference-location = "Gramado, RS, Brazil",
      conference-year = "30 Aug.-3 Sep. 2010",
                  doi = "10.1109/SIBGRAPI.2010.43",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2010.43",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/3897TK5",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3897TK5",
           targetfile = "70705_2.pdf",
        urlaccessdate = "2024, Apr. 28"
}


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