SCREMS: Building a Statistical Computing Environment to Support Scientific Research

SCEMS：构建支持科学研究的统计计算环境

• 批准号: 1026441
• 负责人: Deborah Nolan
• 金额: $ 10.12万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-15 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1026441&HistoricalAwards=false
• 关键词: SCREMS; Building; Statistical; Computing; Environment

SCREMS: Building a Statistical Computing Environment to Support Scientific ResearchThis award will provide funds to the Statistics Department of the University of California, Berkeley, in order to create a computing environment that will support the research of several faculty, postdoctoral candidates, and graduate students. The equipment is critical to the rapid processing of large-scale data and simulations in support of projects in bioinformatics, environmental modeling and neuroscience. These research projects utilize algorithms and methodologies that require multiple compute processors and large memory.Examples of the expected outcomes of the research that will be carried out with the aid of these computers are: prediction models for soil moisture fields under current and future climatic conditions; stochastic models for the dependence of fluid flow on the geometry of rock fractures; new methodologies for mapping ground-level aerosol in large metropolitan areas based on satellite data; the creation of an automated disease diagnosis system from data in public repositories; and further understanding the role different regions in the brain plays in processing visual information.

SCREMS：建立支持科学研究的统计计算环境该奖项将向加州大学伯克利分校统计系提供资金，以创造一个支持几名教师、博士后候选人和研究生研究的计算环境。该设备对于支持生物信息学、环境建模和神经科学项目的大规模数据和模拟的快速处理至关重要。这些研究项目使用的算法和方法需要多个计算机处理器和大容量内存。将在这些计算机的帮助下进行的研究的预期结果的例子包括：当前和未来气候条件下土壤湿度场的预测模型；流体流动对岩石裂缝几何形状的依赖的随机模型；基于卫星数据绘制大城市地区地面气溶胶的新方法；根据公共存储库的数据创建自动疾病诊断系统；以及进一步了解大脑中不同区域在处理视觉信息中所起的作用。