ITR: Gleaning Insight into Large Time-Varying Scientific and Engineering Data

该项目由基础研究部分和重要的系统/工具构建部分组成，以便我们的研究和开发能够被我们将密切合作的应用科学家充分利用和广泛评估。只有以拟议的规模开展为期四年的国际信托基金项目，才有可能作出这样的努力。除了我们将获得的大量应用之外，拟议的研究在以下方面特别独特和重要：(I)开发模拟时间数据简化(即编码和特征提取)技术。在过去，在可视化流水线的早期解决可视化挑战是一个在很大程度上被忽视的方向。(Ii)研究提取的时间和空间特征的灵活建模，以促进在不同抽象级别的有效呈现和操纵。(Iii)设计高度优化的呈现方法，结合新颖的交互技术，以促进对编码数据或提取的特征的交互浏览和探索。(Iv)基于商品硬件加速的寻找负担得起的解决方案，逐步可视化，使科学家能够在其台式PC上尽可能多地执行可视化和数据理解任务的迭代部分。(V)高度重视实现软件工具，并将其提供给我们的应用科学家合作者以及更广泛的科学界。这些工具将用于科学家的日常工作，而不仅仅是概念验证。补充这个项目的研究和开发部分是一个教育部分，面向研究生和本科生，旨在通过实践经验激发兴趣和培养创造力。我们希望促进可视化、科学计算和数据分析等相互关联的学科之间更大的互动和思想交叉。

The project consists of a basic research component and a significant system/tool building component such that our research and development can be fully utilized and extensively evaluated by the application scientists with which we will closely collaborate. Such efforts can only be made possible with a four-year ITR project at the proposed scale. In addition to the large number of applications that we will have access to, the proposed research is particularly unique and important in the following ways:(i) Developing simulation-time data reduction (i.e., encoding and feature extraction) techniques. Addressing the visualization challenges early in the visualization pipeline is a largely ignored direction in the past.(ii) Investigating flexible modeling of the extracted temporal and spatial features to facilitate efficient rendering and manipulation at different levels of abstraction.(iii) Designing highly optimized rendering methods, coupled with novel interaction techniques, to facilitate interactive browsing and exploration of the encoded data or extracted features directly.(iv) Seeking affordable solutions based on commodity-hardware accelerated, progressive visualization to allow scientists to conduct as much of the iterative part of the visualization and data understanding task as possible on their desktop PC.(v) Placing a strong emphasis on realizing software tools and delivering them to our application scientist collaborators as well as to the broader scientific community. These tools will be usable for the scientist's routine work, not just for proof of concept.Complementing the research and development components of this project is an educational component, directed at both graduate and undergraduate students, aimed at inspiring interest and fostering creativity through hands-on experiences. We hope to foster greater interaction and cross-fertilization of ideas between the inter-related disciplines of visualization, scientific computing, and data analysis.