MRI: Acquisition of a Mass Storage System for Data Intelligence Research

MRI：获取用于数据智能研究的海量存储系统

• 批准号: 1828644
• 负责人: Hao Ji
• 金额: $ 21.27万
• 依托单位: Cal Poly Pomona Foundation, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1828644&HistoricalAwards=false
• 关键词: MRI; Acquisition; Mass; Storage; System

Data intelligence research on turning data into actionable intelligence and insights is at the heart of many disciplines, including computer science, mathematics, chemistry, business, and biology. This research instrumentation project involves the acquisition of a mass storage system to enhance the storage capacity of a High-Performance Computing (HPC) cluster. This will enable researchers at the awardee and neighboring institutions to conduct studies in: scalable computational algorithms for big data analysis; finding answers to customized questions by reasoning over large-scale unstructured data; the development of deep learning techniques for two- and three-dimensional biological and medical image analysis; and other big data research challenges. The instrumentation also creates an opportunity for students to participate in a variety of research and training activities related to data intelligence.The project provides better storage capacity to process and share massive data. The system enables data intelligence research and training activities by providing flexible storage configurations, data preservation and recovery, high-performance, large-scale data operations, and secure data sharing for a broad range of projects. It supports collaboration across various universities in California, and enables faculty and students to develop modern scalable solutions to data intelligence problems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

关于将数据转化为可行的智能和见解的数据情报研究是许多学科的核心，包括计算机科学，数学，化学，商业和生物学。该研究仪器项目涉及获取质量存储系统，以增强高性能计算（HPC）群集的存储能力。 这将使获奖者和邻近机构的研究人员能够以：可扩展的计算算法进行大数据分析的研究；通过推理大规模的非结构化数据来查找定制问题的答案；二维生物学和医学图像分析的深度学习技术的发展；以及其他大数据研究挑战。 该仪器还为学生提供了与数据情报相关的各种研究和培训活动的机会。该项目为处理和共享大量数据提供了更好的存储能力。该系统通过提供灵活的存储配置，数据保存和恢复，高性能，大规模数据操作以及为广泛的项目提供安全数据共享，从而实现数据情报研究和培训活动。它支持加利福尼亚州各种大学之间的合作，并使教师和学生能够为数据情报问题开发现代可扩展的解决方案。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估评估标准来通过评估来支持的。