High Capacity, High Performance Storage System for Neuroscience

适用于神经科学的大容量、高性能存储系统

• 批准号: 10425960
• 负责人: ARTHUR W TOGA
• 金额: $ 167.36万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-23 至 2024-09-22
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10425960
• 关键词: AIDS/HIV problem; Adoption; Alzheimer' s Disease; Awareness; Biomedical Computing; Biomedical Research; California; Collaborations; Communities; Computers; Country; Data; Data Collection; Data Set; Data Storage and Retrieval; Development; Discipline; Disease; Equipment; Fostering; Funding; Health; Infrastructure; Institution; Interdisciplinary Study; Intervention Trial; Investigation; Laboratories; Neurosciences; Participant; Performance; Personnel Management; Play; Procedures; Process; Productivity; Research Personnel; Resolution; Resources; Role; Schizophrenia; Scientist; Site; Staging; System; Technology; Time; Universities; computational neuroscience; computer code; data acquisition; data sharing; experience; innovation; instrument; instrumentation; interest; large scale data; multidimensional data; multidisciplinary; neuroimaging; new technology; novel; residence; response

PROJECT SUMMARY/ABSTRACT Contemporary neuroscience is experiencing, like many other disciplines, an ever increasing data demand due to technological improvements in data acquisition, which continue to create data sets with higher and higher resolution. Advancements in the acquisition of data have enabled novel interdisciplinary research efforts across fields, but these advancements have also resulted in the need for more robust, network-aware, high-capacity acquisition and data storage infrastructures. The Laboratory of Neuro Imaging (LONI) at the University of Southern California (USC) has become an established frontrunner in the adoption of innovative, cutting-edge technology to understand dynamic changes in health and disease. LONI’s collaborations have drastically expanded over the years, and our laboratory plays a critical role in neuroscientific observational and interventional trials and large-scale data collection efforts across institutions and countries. The increasing availability of very high-resolution, time-varying, multidimensional data has challenged the computational capabilities of ongoing projects in the field. To deal with large multidimensional datasets, the scientific community requires computational systems capable of moving, storing, manipulating and rendering large volumes of data in a practical manner. In response to these computational challenges, a group of neuro-, biomedical and computer scientists with common interests and computational needs have come together to seek funding for the requested instrumentation package, which will upgrade the storage infrastructure of our high performance computational center (HPCC) resource, alleviating significant space constraints in all aspects of our computational neuroscience investigations. The requested additional storage infrastructure will benefit many of LONI’s collaborators both at USC and across the nation. The requested instrumentation will offer benefit to collaborators given the: increase in storage capacity; co-localization of compute and storage; co-localization of pre-processed and analyzed results and raw data; and staging for third party and cloud residence. An administrative plan is already in place by which the equipment can be managed equitably. Technical and management personnel also are part of the funded group of participants. Ongoing collaborations and the common programmatic requirements will enable sharing of data, computer code, analytic procedures, computational strategies and infrastructural capabilities. The requested instrument will enhance the productivity of ongoing computational biomedical research at LONI and collaborating sites in schizophrenia, HIV/AIDS and Alzheimer’s disease, among others, and foster the development of new technology and applications for a diverse array of collaborators and multidisciplinary investigators.

项目总结/摘要 与许多其他学科一样，当代神经科学正在经历不断增长的数据需求， 数据采集的技术改进，继续创造越来越高的数据集， 分辨率数据获取的进步使跨学科的新的跨学科研究工作成为可能。 领域，但这些进步也导致了对更强大、网络感知、高容量 采集和数据存储基础设施。神经成像实验室（LONI），在大学 南加州（USC）已成为采用创新、尖端 了解健康和疾病的动态变化。LONI的合作大大地 多年来不断扩大，我们的实验室在神经科学观察和 干预性试验和跨机构和国家的大规模数据收集工作。日益 非常高分辨率、时变、多维数据的可用性对计算 该领域正在进行的项目的能力。为了处理大型多维数据集，科学界 需要能够移动、存储、操纵和呈现大量数据的计算系统 以实际的方式。为了应对这些计算挑战，一组神经，生物医学和 具有共同兴趣和计算需求的计算机科学家们聚集在一起，为 所需的仪器包，这将升级我们的高性能存储基础架构 计算中心（HPCC）资源，减轻了我们在各个方面的重大空间限制， 计算神经科学研究。所要求的额外存储基础架构将使许多 LONI在南加州大学和全国各地的合作者。所要求的仪器将有利于 合作者给出了：存储容量的增加;计算和存储的共同本地化; 预处理和分析的结果和原始数据;以及为第三方和云驻留进行分段。一个 已经制定了一项行政计划，通过该计划可以公平地管理设备。技术和 管理人员也是受资助的参与者群体的一部分。正在进行的合作和 共同的程序要求将实现数据、计算机代码、分析程序的共享， 计算策略和基础设施能力。所要求的仪器将提高生产率 正在进行的计算生物医学研究在LONI和合作网站在精神分裂症，艾滋病毒/艾滋病和 老年痴呆症，其中包括，并促进新技术的发展和应用的多样化 一系列合作者和多学科研究者。