MRI Acquisition: A Reconfigurable Computing Infrastructure Enabling Interdisciplinary and Collaborative Research in Hampton Roads

MRI 采集：可重新配置的计算基础设施，支持汉普顿路的跨学科和协作研究

• 批准号: 1828593
• 负责人: Hongyi Wu
• 金额: $ 150.44万
• 依托单位: Old Dominion University Research Foundation
• 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=1828593&HistoricalAwards=false
• 关键词: MRI; Acquisition; Reconfigurable; Computing; Infrastructure

This project acquires a reconfigurable computing system that wiil support a broad spectrum of research projects in an appropriately tailored computer environment using state-of the-art technologies. It offers substantial computational power to support a number of critical research initiatives at the institution.This infrastructure, named DISCOVER, enables big data and high-performance computing research. Three key thrusts are emphasized: Cybersecurity, Resilience, and Data Intensive Science and Engineering. Each thrust includes multiple applications, as follows. Cybersecurity: hardware security for cryptographic circuit verification; modeling learning with homomorphic encryption; malware and anomaly detection; and modeling cyber-attack paths and their mitigation.Resilience: computational simulations to model sea level rise; understanding social media for emergency preparedness for natural disasters; and data-driven understanding of massive geospatial traffic patterns.Data Intensive Science and Engineering: high-accuracy finite element mesh generation; analysis of brain imaging and image-guided surgery; and modelling of power-consumption and resource allocation for high-performance computing clusters.The acquired computing system will stimulate multi-disciplinary collaborations with other institutions in Hampton Roads, including Norfolk State University, Tidewater Community College, and Thomas Nelson Community College. Training workshops and a summer institute will be organized to help students in various research fields to gain high-performance computing skills. The insitution will leverage the National Initiative for Cybersecurity Education (NICE) framework to address cyber workforce needs by increasing the pipeline of students pursuing cybersecurity careers.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.

该项目采用了可重构计算系统，该计算系统在适当量身定制的计算机环境中使用最先进的技术来支持广泛的研究项目。它提供了实质性的计算能力来支持该机构的许多关键研究计划。该命名为Discover，启用大数据和高性能计算研究。强调了三个关键的推力：网络安全，弹性和数据密集型科学和工程。每个推力都包含多个应用程序，如下所示。网络安全：加密电路验证的硬件安全性；使用同态加密来建模学习；恶意软件和异常检测；以及对网络攻击路径进行建模及其缓解措施。弥补：计算模拟以建模海平面上升；了解社交媒体以准备自然灾害的紧急准备；以及对大规模地理空间交通模式的数据驱动的理解。DATA密集科学与工程：高准确的有限元网格生成；分析脑成像和图像引导手术；对高性能计算集群的功率消费和资源分配的建模。获取的计算系统将激发与汉普顿道路的其他机构的多学科合作，包括诺福克州立大学，泰德沃特社区学院和托马斯·尼尔森社区学院。 培训研讨会和夏季学院将组织起来，以帮助各个研究领域的学生获得高性能的计算技能。 这种认识将利用国家网络安全教育倡议（NICE）框架来通过增加从事网络安全职业的学生的渠道来满足网络劳动力需求。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来通过评估来获得支持的。