An efficient GPU out-of-core framework for interactive rendering of large-scale CAD models

Real‐time rendering of large‐scale engineering computer‐aided design (CAD) models has been recognized as a challenging task. Because of the constraints of limited graphics processing unit (GPU) memory size and computation capacity, a massive model with hundreds of millions of triangles cannot be loa...

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Veröffentlicht in:	Computer animation and virtual worlds Jg. 27; H. 3-4; S. 231 - 240
Hauptverfasser:	Xue, Junjie, Zhao, Gang, Xiao, Wenlei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Chichester Blackwell Publishing Ltd 01.05.2016 Wiley Subscription Services, Inc
Schlagworte:	Algorithms Computer aided design Design engineering Frames geometry compression GPU out-of-core Graphics processing units LOD processing massive model rendering Mathematical models occlusion culling Rendering Triangles
ISSN:	1546-4261, 1546-427X
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Abstract	Real‐time rendering of large‐scale engineering computer‐aided design (CAD) models has been recognized as a challenging task. Because of the constraints of limited graphics processing unit (GPU) memory size and computation capacity, a massive model with hundreds of millions of triangles cannot be loaded and rendered in real‐time using most of modern GPUs. In this paper, an efficient GPU out‐of‐core framework is proposed for interactively visualizing large‐scale CAD models. To improve efficiency of data fetching from CPU host memory to GPU device memory, a parallel offline geometry compression scheme is introduced to minimize the storage cost of each primitive by compressing the levels of detail (LOD) geometries into a highly compact format. At the rendering stage, occlusion culling and LOD processing algorithms are integrated and implemented with an efficient GPU‐based approach to determine a minimal scale of primitives to be transferred for each frame. A prototype software system is developed to preprocess and render massive CAD models with the proposed framework. Experimental results show that users can walkthrough massive CAD models with hundreds of millions of triangles at high frame rates using our framework. Copyright © 2016 John Wiley & Sons, Ltd. This paper proposes an efficient graphics processing unit out‐of‐core framework for interactively visualizing large‐scale computer‐aided design models. An off‐line geometry compression scheme is introduced to minimize the storage cost of each primitive. Occlusion culling and level of detail processing algorithms are integrated with an efficient graphics processing unit‐based approach to determine a minimal scale of primitives to be transferred for each frame. The effectiveness and robustness of the framework are verified by testing on several computer‐aided design models with hundreds of millions of triangles at high frame rates.
AbstractList	Real‐time rendering of large‐scale engineering computer‐aided design (CAD) models has been recognized as a challenging task. Because of the constraints of limited graphics processing unit (GPU) memory size and computation capacity, a massive model with hundreds of millions of triangles cannot be loaded and rendered in real‐time using most of modern GPUs. In this paper, an efficient GPU out‐of‐core framework is proposed for interactively visualizing large‐scale CAD models. To improve efficiency of data fetching from CPU host memory to GPU device memory, a parallel offline geometry compression scheme is introduced to minimize the storage cost of each primitive by compressing the levels of detail (LOD) geometries into a highly compact format. At the rendering stage, occlusion culling and LOD processing algorithms are integrated and implemented with an efficient GPU‐based approach to determine a minimal scale of primitives to be transferred for each frame. A prototype software system is developed to preprocess and render massive CAD models with the proposed framework. Experimental results show that users can walkthrough massive CAD models with hundreds of millions of triangles at high frame rates using our framework. Copyright © 2016 John Wiley & Sons, Ltd. Real-time rendering of large-scale engineering computer-aided design (CAD) models has been recognized as a challenging task. Because of the constraints of limited graphics processing unit (GPU) memory size and computation capacity, a massive model with hundreds of millions of triangles cannot be loaded and rendered in real-time using most of modern GPUs. In this paper, an efficient GPU out-of-core framework is proposed for interactively visualizing large-scale CAD models. To improve efficiency of data fetching from CPU host memory to GPU device memory, a parallel offline geometry compression scheme is introduced to minimize the storage cost of each primitive by compressing the levels of detail (LOD) geometries into a highly compact format. At the rendering stage, occlusion culling and LOD processing algorithms are integrated and implemented with an efficient GPU-based approach to determine a minimal scale of primitives to be transferred for each frame. A prototype software system is developed to preprocess and render massive CAD models with the proposed framework. Experimental results show that users can walkthrough massive CAD models with hundreds of millions of triangles at high frame rates using our framework. This paper proposes an efficient graphics processing unit out-of-core framework for interactively visualizing large-scale computer-aided design models. An off-line geometry compression scheme is introduced to minimize the storage cost of each primitive. Occlusion culling and level of detail processing algorithms are integrated with an efficient graphics processing unit-based approach to determine a minimal scale of primitives to be transferred for each frame. The effectiveness and robustness of the framework are verified by testing on several computer-aided design models with hundreds of millions of triangles at high frame rates. Real‐time rendering of large‐scale engineering computer‐aided design (CAD) models has been recognized as a challenging task. Because of the constraints of limited graphics processing unit (GPU) memory size and computation capacity, a massive model with hundreds of millions of triangles cannot be loaded and rendered in real‐time using most of modern GPUs. In this paper, an efficient GPU out‐of‐core framework is proposed for interactively visualizing large‐scale CAD models. To improve efficiency of data fetching from CPU host memory to GPU device memory, a parallel offline geometry compression scheme is introduced to minimize the storage cost of each primitive by compressing the levels of detail (LOD) geometries into a highly compact format. At the rendering stage, occlusion culling and LOD processing algorithms are integrated and implemented with an efficient GPU‐based approach to determine a minimal scale of primitives to be transferred for each frame. A prototype software system is developed to preprocess and render massive CAD models with the proposed framework. Experimental results show that users can walkthrough massive CAD models with hundreds of millions of triangles at high frame rates using our framework. Copyright © 2016 John Wiley & Sons, Ltd. This paper proposes an efficient graphics processing unit out‐of‐core framework for interactively visualizing large‐scale computer‐aided design models. An off‐line geometry compression scheme is introduced to minimize the storage cost of each primitive. Occlusion culling and level of detail processing algorithms are integrated with an efficient graphics processing unit‐based approach to determine a minimal scale of primitives to be transferred for each frame. The effectiveness and robustness of the framework are verified by testing on several computer‐aided design models with hundreds of millions of triangles at high frame rates.
Author	Zhao, Gang Xiao, Wenlei Xue, Junjie
Author_xml	– sequence: 1 givenname: Junjie surname: Xue fullname: Xue, Junjie organization: School of Mechanical Engineering and Automation, Beihang University, Beijing, China – sequence: 2 givenname: Gang surname: Zhao fullname: Zhao, Gang email: Correspondence: Gang Zhao, School of Mechanical Engineering and Automation, Beihang University, Beijing, China., zhaog@buaa.edu.cn organization: School of Mechanical Engineering and Automation, Beihang University, Beijing, China – sequence: 3 givenname: Wenlei surname: Xiao fullname: Xiao, Wenlei organization: School of Mechanical Engineering and Automation, Beihang University, Beijing, China
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Snippet	Real‐time rendering of large‐scale engineering computer‐aided design (CAD) models has been recognized as a challenging task. Because of the constraints of... Real-time rendering of large-scale engineering computer-aided design (CAD) models has been recognized as a challenging task. Because of the constraints of...
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SubjectTerms	Algorithms Computer aided design Design engineering Frames geometry compression GPU out-of-core Graphics processing units LOD processing massive model rendering Mathematical models occlusion culling Rendering Triangles
Title	An efficient GPU out-of-core framework for interactive rendering of large-scale CAD models
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