居留授权:一种用于可扩展的基于Web的多体积染的混合方法
IEEE transactions on visualization and computer graphics
|October 27, 2023
概括
一个新的Residency Octree允许通过将数据分辨率与空间分区脱而出,实现高效的核心外多体积染. 这种混合方法提高了复杂可视化的性能和灵活性.
科学领域:
- 计算机图形 计算机图形
- 科学可视化科学可视化
背景情况:
- 传统的八度体积染对穿越和分辨率,妨碍有效的空空间跳转.
- 页表提供灵活的数据访问,但缺乏有效的策略来管理多分辨率数据替代.
- 核心之外的染方法在平衡数据分辨率和缓存管理方面面临挑战.
研究的目的:
- 开发一种混合多体积染方法,克服现有的 octree 和页表方法的局限性.
- 为了实现复杂的科学数据集的灵活,混合分辨率,核心外染.
- 创建一个基于Web的客户端染器,以增强协作和可访问性.
主要方法:
- 引入了一个新的Residency Octree结构,将缓存居住区与空间分区分开.
- 在不同的分辨率级别中将每个八点节点映射到多个块中.
- 使用WebGPU和WebAssembly实现了一个基于Web的纯客户端染器.
主要成果:
- 实现了数据分辨率的高效,适应性选择和混合.
- 启用了独立于缓存分区的细粒度空空间跳转.
- 与之前的核心外染方法相比,演示了更快的性能.
- 通过自适应性解决策略,成功地弥补了缓存错误.
结论:
- 居住权令促进了灵活的混合分辨率的核心外多体积染.
- 基于Web的染器增强了可访问性和协作可视化.
- 这种混合方法为多道数据染提供了显著的性能改进.
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