{"title":"基于gpu摄动函数的三维物体直接绘制","authors":"S. Vyatkin, B. Dolgovesov","doi":"10.7256/2454-0714.2023.1.38263","DOIUrl":null,"url":null,"abstract":"\n The object of the study is a method of direct rendering of complex three-dimensional objects based on perturbation functions using graphics processors, using a variety of streaming multiprocessors. Direct rendering means that the visualization of functionally defined models takes place without their preliminary conversion to other formats, for example, into triangle grids. The research method is based on analytical geometry in space, differential geometry, interpolation theory and matrix theory, based on mathematical modeling and the theory of computing systems. The main conclusions of the study are: the possibility of direct rendering of functionally specified objects, when rendering it is important that the computing processors are not idle. The first problem that was solved was that different GPUs have different numbers of streaming multiprocessors. Therefore, it was necessary to choose during execution the optimal stage from which the work began. Thus, you can partially get rid of the problem with unused computing resources. The second problem, the balancing problem, was solved by using a large number of computing processors. For implementation, the CUDA parallel programming model was used, which, together with a set of software tools, allows implementing programs in the C language for execution on a GPU. The resulting system visualizes complex functionally defined objects with high resolution interactively. The dependence of performance on the computing power of graphics processors is investigated.\n","PeriodicalId":155484,"journal":{"name":"Программные системы и вычислительные методы","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Direct Rendering of Three-Dimensional Objects Based on Perturbation Functions Using GPUs\",\"authors\":\"S. Vyatkin, B. Dolgovesov\",\"doi\":\"10.7256/2454-0714.2023.1.38263\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n The object of the study is a method of direct rendering of complex three-dimensional objects based on perturbation functions using graphics processors, using a variety of streaming multiprocessors. Direct rendering means that the visualization of functionally defined models takes place without their preliminary conversion to other formats, for example, into triangle grids. The research method is based on analytical geometry in space, differential geometry, interpolation theory and matrix theory, based on mathematical modeling and the theory of computing systems. The main conclusions of the study are: the possibility of direct rendering of functionally specified objects, when rendering it is important that the computing processors are not idle. The first problem that was solved was that different GPUs have different numbers of streaming multiprocessors. Therefore, it was necessary to choose during execution the optimal stage from which the work began. Thus, you can partially get rid of the problem with unused computing resources. The second problem, the balancing problem, was solved by using a large number of computing processors. For implementation, the CUDA parallel programming model was used, which, together with a set of software tools, allows implementing programs in the C language for execution on a GPU. The resulting system visualizes complex functionally defined objects with high resolution interactively. The dependence of performance on the computing power of graphics processors is investigated.\\n\",\"PeriodicalId\":155484,\"journal\":{\"name\":\"Программные системы и вычислительные методы\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Программные системы и вычислительные методы\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7256/2454-0714.2023.1.38263\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Программные системы и вычислительные методы","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7256/2454-0714.2023.1.38263","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Direct Rendering of Three-Dimensional Objects Based on Perturbation Functions Using GPUs
The object of the study is a method of direct rendering of complex three-dimensional objects based on perturbation functions using graphics processors, using a variety of streaming multiprocessors. Direct rendering means that the visualization of functionally defined models takes place without their preliminary conversion to other formats, for example, into triangle grids. The research method is based on analytical geometry in space, differential geometry, interpolation theory and matrix theory, based on mathematical modeling and the theory of computing systems. The main conclusions of the study are: the possibility of direct rendering of functionally specified objects, when rendering it is important that the computing processors are not idle. The first problem that was solved was that different GPUs have different numbers of streaming multiprocessors. Therefore, it was necessary to choose during execution the optimal stage from which the work began. Thus, you can partially get rid of the problem with unused computing resources. The second problem, the balancing problem, was solved by using a large number of computing processors. For implementation, the CUDA parallel programming model was used, which, together with a set of software tools, allows implementing programs in the C language for execution on a GPU. The resulting system visualizes complex functionally defined objects with high resolution interactively. The dependence of performance on the computing power of graphics processors is investigated.