Enabling Transformational Science and Engineering Through Integrated Collaborative Visualization and Data Analysis for the National User Community

通过集成协作可视化和数据分析为全国用户社区实现变革性科学与工程

• 批准号: 0906379
• 负责人: Kelly Gaither
• 金额: $ 700万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2013-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0906379&HistoricalAwards=false
• 关键词: Enabling; Transformational; Science; Engineering; Through

This proposal will be awarded using funds made available by the American Recovery and Reinvestment Act of 2009 (Public Law 111-5), and meets the requirements established in Section 2 of the White House Memorandum entitled, Ensuring Responsible Spending of Recovery Act Funds, dated March 20, 2009. I also affirm, as the cognizant Program Officer, that the proposal does not support projects described in Section 1604 of Division A of the Recovery Act. Enabling Transformational Science and Engineering through Integrated Collaborative Visualization and Data Analysis for the National User CommunityVisualization is one of the most important and commonly used methods of analyzing and interpreting digital assets. For many types of computational research, it is the only viable means of extracting information and developing understanding from data. However, non-visual data analysis techniques, statistical analysis, data mining, data reduction, etc. also play integral roles in many areas of knowledge discovery. This award will, for the first time, provide a comprehensive suite of large-scale visualization and data analysis (VDA) services to the open science community. By leveraging existing tools and techniques, integrating state-of-the-art research products, and providing exceptional user support, we will deploy a national, general-purpose visualization and data analysis discovery environment. The deliverables include:o a remote visualization resource of extreme capability (Longhorn):o 256 nodes (2048 processor cores, 24 Tflops peak) with 512 GPUs, 12 terabytes of aggregate memory, 200 terabytes of local system storageo tightly integrated with Ranger (the TeraGrid's inaugural Track2 system) to handle digital assets at the largest scale (and potentially future TACC HPC systems); 1. a comprehensive collection of open source and commercial end-user VDA software tools; 2. expert visualization support, including advanced interactive user support and training, from a team comprising many of the leading visualization researchers in the US; and 3. a framework for rapidly integrating new visualization technologies from leading research teams (including our own) to increase user capabilities throughout the project.aborative Visualization and Data Analysis for the National User Community

该提案将使用 2009 年《美国复苏和再投资法案》（公法 111-5）提供的资金进行授予，并符合 2009 年 3 月 20 日题为“确保负责任地支出复苏法案资金”的白宫备忘录第 2 节中规定的要求。作为认识到的项目官员，我还确认该提案不支持《复苏法案》A 部分第 1604 节中描述的项目。 通过集成协作可视化和数据分析为全国用户社区实现转型科学和工程可视化是分析和解释数字资产的最重要和最常用的方法之一。对于许多类型的计算研究来说，它是提取信息和从数据中发展理解的唯一可行的手段。然而，非可视化数据分析技术、统计分析、数据挖掘、数据缩减等在知识发现的许多领域也发挥着不可或缺的作用。该奖项将首次向开放科学界提供一整套大规模可视化和数据分析 (VDA) 服务。通过利用现有的工具和技术、集成最先进的研究产品并提供卓越的用户支持，我们将部署一个全国性的通用可视化和数据分析发现环境。可交付成果包括： o 具有极限能力的远程可视化资源（Longhorn）： o 256 个节点（2048 个处理器核心，24 Tflops 峰值），带有 512 个 GPU、12 TB 聚合内存、200 TB 本地系统存储 o 与 Ranger（TeraGrid 的首个 Track2 系统）紧密集成，以处理最大规模的数字资产（以及未来可能的 TACC HPC） 系统）； 1. 全面的开源和商业最终用户VDA软件工具集合； 2. 专家可视化支持，包括高级交互式用户支持和培训，由美国许多领先的可视化研究人员组成的团队提供； 3. 一个框架，用于快速集成来自领先研究团队（包括我们自己的团队）的新可视化技术，以提高整个项目的用户能力。面向全国用户社区的精心可视化和数据分析