SCREMS: Building a Statistical Computing Environment to Support Scientific Research

螺钉：构建统计计算环境以支持科学研究该奖项将为加州大学伯克利分校统计系提供资金，以创建一个支持多名教师、博士后候选人和研究生研究的计算环境。该设备对于快速处理大规模数据和模拟以支持生物信息学，环境建模和神经科学项目至关重要。 这些研究项目采用的算法和方法需要多个计算机处理器和大容量存储器，借助这些计算机进行的研究的预期成果的例子有：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依赖性的随机模型;这些活动包括：利用卫星数据绘制大都市地区地面浮质图的新方法;利用公共储存库的数据建立自动疾病诊断系统;进一步了解大脑不同区域在处理视觉信息方面的作用。

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.