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.

该项目获得了一个可重构的计算系统，该系统将在使用最先进技术的适当定制的计算机环境中支持广泛的研究项目。它提供了大量的计算能力，以支持该机构的一些关键研究计划。这个名为DISCOVER的基础设施使大数据和高性能计算研究成为可能。强调三个重点：网络安全、弹性和数据密集型科学与工程。每个推力包括多个应用，如下所示。网络安全：加密电路验证的硬件安全；基于同态加密的学习建模恶意软件和异常检测；建模网络攻击路径及其缓解措施。复原力：模拟海平面上升的计算模拟；了解社会媒体对自然灾害的应急准备；以及对大规模地理空间交通模式的数据驱动理解。数据密集型科学与工程：高精度有限元网格生成；脑成像与图像引导手术分析以及高性能计算集群的功耗和资源分配建模。获得的计算系统将促进与汉普顿路其他机构的多学科合作，包括诺福克州立大学、潮水社区学院和托马斯·纳尔逊社区学院。我们将举办培训工作坊和暑期研习会，帮助不同研究领域的学生获得高性能计算技能。该机构将利用国家网络安全教育倡议（NICE）框架，通过增加追求网络安全职业的学生渠道来满足网络劳动力需求。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。