High Capacity, High Performance Storage System for Neuroscience

项目摘要/摘要 与许多其他学科一样，当代神经科学正在经历着日益增长的数据需求 到数据采集方面的技术改进，这继续创造出越来越高的数据集 决议。数据获取方面的进步使跨学科的新型研究工作成为可能 但这些进步也导致了对更强大、更具网络意识、更高容量的需求 采购和数据存储基础设施。加州大学神经影像实验室(LONI 南加州(USC)已成为采用创新、尖端技术的公认领跑者 了解健康和疾病动态变化的技术。洛尼的合作在很大程度上 多年来不断扩大，我们的实验室在神经科学观察和 跨机构和国家的干预试验和大规模数据收集工作。不断增长的 非常高分辨率、时变的多维数据的可用性对计算能力提出了挑战 实地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、操作和呈现大量数据的计算系统 以一种实际的方式。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聚集在一起，为 所需的工具包，这将升级我们高性能的存储基础架构 计算中心(HPCC)资源，缓解了我们所有方面的重大空间限制 计算神经科学研究。所请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。所请求的检测将提供以下好处 协作者提供：存储容量的增加；计算和存储的共同本地化；共同本地化 对结果和原始数据进行预处理和分析；第三方和云住宅的升级。一个 已经制定了行政计划，以便公平地管理设备。技术和 管理人员也是受资助的参与者小组的一部分。持续的协作和 共同的程序要求将能够共享数据、计算机代码、分析程序、 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的LONI和合作地点精神分裂症，艾滋病毒/艾滋病和 阿尔茨海默氏症等，并促进开发新技术和应用于各种 一系列合作者和多学科调查人员。

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.