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：建立一个统计计算环境来支持科学研究奖，将为加州大学伯克利分校的统计系提供资金，以创建一个计算环境，以支持几位教职员工，博士后候选人和研究生的研究。该设备对于快速处理大型数据和模拟至关重要，以支持生物信息学，环境建模和神经科学领域的项目。 这些研究项目采用了需要多个计算处理器和大记忆的算法和方法。审查将借助这些计算机进行的研究结果的预期结果：在当前和未来的气候条件下，土壤湿度领域的预测模型；依赖流体流动对岩石断裂几何形状的随机模型；根据卫星数据，在大都市地区绘制地面气溶胶的新方法；从公共存储库中数据创建自动疾病诊断系统；并进一步了解不同区域在处理视觉信息中发挥的作用。