II-EN: GridIron

II-EN: GridIron

• 批准号: 1205521
• 负责人: Christopher Bailey-Kellogg
• 金额: $ 47.49万
• 依托单位: Dartmouth College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-06-01 至 2017-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1205521&HistoricalAwards=false
• 关键词: II; EN; GridIron

GridIron is a computing grid resource for the Dartmouth computer science department, enabling cutting-edge research and training in a wide range of projects involving analysis of large quantities of data and search over large, complex spaces. In computational structural biology, researchers are developing and applying methods to search protein conformation spaces, to systematically decompose the protein structure universe, and to model and design protein-protein interactions for specificity. In computer vision, researchers are developing and applying methods to authenticate digital images and to perform large-scale image search. Other significant areas of investigation include large-scale smartphone sensing, latency mitigation, and malware detection. The grid is also an asset for Digital Arts projects and research, including information visualization for large data sets and real-time rendering for motion capture. Finally, the grid supports a number of education and outreach activities, including non-major, undergraduate, and graduate courses and a summer camp for high school students. It provides invaluable practical experience in the use of large-scale computation in solving difficult challenges in the analysis of massive data sets.

Gridiron是达特茅斯计算机科学系的计算网格资源，在涉及大量数据并在大型，复杂的空间上进行搜索的广泛项目，为尖端的研究和培训提供了尖端的研究和培训。 在计算结构生物学中，研究人员正在开发和应用方法来搜索蛋白质构象空间，系统分解蛋白质结构宇宙，并建模和设计蛋白质 - 蛋白质相互作用以特异性。 在计算机视觉中，研究人员正在开发和应用方法来验证数字图像并执行大型图像搜索。 其他重要的调查领域包括大规模的智能手机感应，缓解延迟和恶意软件检测。 该网格也是数字艺术项目和研究的资产，包括大型数据集的信息可视化以及运动捕获的实时渲染。 最后，网格支持许多教育和外展活动，包括非劳哥，本科和研究生课程以及高中生的夏令营。 它在使用大规模计算来解决大规模数据集的艰难挑战方面提供了宝贵的实践经验。