SBIR Phase I: Visualization of Massive Multivariate Adaptive Mesh Refinement (AMR) Data

SBIR 第一阶段：海量多元自适应网格细化 (AMR) 数据的可视化

• 批准号: 0441564
• 负责人: Lisa Avila
• 金额: $ 10万
• 依托单位: KITWARE INC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-01-01 至 2005-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0441564&HistoricalAwards=false
• 关键词: SBIR; Phase; Visualization; Massive; Multivariate

This Small Business Innovation Research (SBIR) Phase I project addresses the lack of visualization technology for hierarchical overlapping structured grids created through a process known as Adaptive Mesh Refinement (AMR). Although the AMR structure makes possible simulations that would have otherwise been too computationally and memory expensive using a uniform grid approach, it leaves the scientist with a lack of visualization tools to properly render the resulting volumetric data. Therefore, there is a need for visualization tools that are focused on volume rendering the large, multivariate, time-varying data produced by simulations using the AMR technique. In this project, a volume rendering approach is described that will enable scientists to effectively visualize the results of their simulations. A ray casting algorithm will be implement allowing for accurate visualization with the ability to trade quality for speed, flexible compositing of multivariate data, and adaptability across a variety of computational platforms from massively parallel to a desktop computer. A prototype visualization system will be created which will demonstrate interactivity through the use of level of detail techniques, advanced transfer function editing for multivariate data, and intermixing of the volume rendering solution with standard geometric techniques.Early in the development cycle, the core AMR visualization technology will be incorporated into the open source Visualization Toolkit in order to gain valuable feedback and to gain recognition in this field. This inclusion will provide researchers with early access to these visualization techniques, freeing up valuable time currently spent implementing custom solutions. The availability of these AMR visualization methods as source code will enable future research in the area of AMR visualization to be based upon the results obtained through this effort. The documentation (including a commercially available textbook and users' guide) and the training classes for the Visualization Toolkit will be updated to include AMR visualization, providing educational opportunities for new researchers in the area. In addition to the availability of this technology as part of an open-source toolkit, a commercial application will be developed to provide AMR visualization in a turn-key application. AMR visualization provided in an end-user application will eliminate the need for most researchers to develop their own visualization solutions, allowing more time to be focused on the core science.

这个小企业创新研究（SBIR）第一阶段项目解决了通过自适应网格细化（AMR）过程创建的分层重叠结构化网格缺乏可视化技术的问题。虽然AMR结构使模拟成为可能，否则使用统一网格方法计算和内存成本太高，但它使科学家缺乏可视化工具来正确渲染生成的体积数据。因此，需要一种可视化工具，专注于使用AMR技术模拟产生的大量、多变量、时变数据的体积渲染。在这个项目中，描述了一种体绘制方法，使科学家能够有效地可视化他们的模拟结果。射线投射算法将实现精确的可视化，能够以质量换取速度，灵活地合成多变量数据，以及从大规模并行到台式计算机的各种计算平台的适应性。将创建一个原型可视化系统，该系统将通过使用细节技术、多变量数据的高级传递函数编辑以及与标准几何技术混合的体绘制解决方案来演示交互性。在开发周期的早期，核心AMR可视化技术将被整合到开源可视化工具包中，以便获得有价值的反馈并获得该领域的认可。这将使研究人员能够更早地使用这些可视化技术，从而节省目前用于实现定制解决方案的宝贵时间。这些AMR可视化方法作为源代码的可用性将使AMR可视化领域的未来研究能够基于通过这些努力获得的结果。可视化工具包的文档（包括商业可用的教科书和用户指南）和培训课程将被更新，以包括AMR可视化，为该领域的新研究人员提供教育机会。除了该技术作为开源工具包的一部分可用之外，还将开发一个商业应用程序，以在交钥匙应用程序中提供AMR可视化。最终用户应用程序中提供的AMR可视化将消除大多数研究人员开发自己的可视化解决方案的需要，从而使更多的时间集中在核心科学上。