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High Capacity Storage System for Computational Biology

计算生物学大容量存储系统

基本信息

批准号：
8245539
负责人：
ROGER P WOODS
金额：
$ 59.81万
依托单位：
UNIVERSITY OF CALIFORNIA LOS ANGELES
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-04-02 至 2014-03-31
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): Innovations in imaging technologies and in the field of computational neuroscience have resulted in the generation of massive amounts of image and statistical data concerning the human brain. Additionally, recent advancements in the acquisition of genetic and other biomedical data have created novel interdisciplinary studies in the field of neuroscience and biomedical informatics. These advances have resulted in the need for high performance computing and novel investigative paradigms for the meaningful analysis of the available data. The Laboratory of Neuro Imaging has been a frontrunner in the adoption of cutting-edge technology to understand dynamic changes such as the development and degeneration of the human brain in health and disease. Our group has gained worldwide recognition for the development of innovative research methodologies, computational algorithms and high-order mathematical approaches to the investigation of brain registration, the analysis of variance between and within populations, and the visualization of these data. These techniques, however, now must not only accommodate four dimensions, as ongoing projects at LONI and elsewhere generate time-varying, multidimensional statistical fields but also be able to reasonably process data that are increasingly more complex. We now routinely apply these computationally demanding methods to population studies in order to achieve sensitivity to potentially subtle differences. 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 to greatly increase the storage capacity and bandwidth of a dedicated shared high performance computing facility. The increasing storage demands placed on this system by four-dimensional and high angular resolution imaging sets, used for intricate surface extraction, nonlinear warping and the multi-modal integration of complex is surfaces with data from disparate sources have clearly identified storage bandwidth limitations and gross storage capacity concerns that limit the progress of large imaging studies. The requested storage upgrade would eliminate capacity bandwidth contention and allow for the optimal utilization of the computational resource by LONI investigators and collaborators. 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 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 leading edge technology and applications for a diverse array of collaborators and multidisciplinary investigators.

描述（由申请人提供）：成像技术和计算神经科学领域的创新已经产生了大量关于人脑的图像和统计数据。此外，最近在获取遗传和其他生物医学数据方面的进展，在神经科学和生物医学信息学领域创造了新的跨学科研究。这些进步导致了对高性能计算和新的调查范式的需要，以进行有意义的分析。神经成像实验室一直是采用尖端技术来了解动态变化的领跑者，例如健康和疾病中人类大脑的发育和退化。我们的团队在开发创新的研究方法、计算算法和高阶数学方法来研究大脑配准、人群之间和人群内的方差分析以及这些数据的可视化方面获得了全世界的认可。然而，这些技术现在不仅必须适应四个方面，因为LONI和其他地方正在进行的项目产生时变的多维统计领域，而且还必须能够合理地处理越来越复杂的数据。我们现在经常将这些计算要求高的方法应用于人口研究，以实现对潜在细微差异的敏感性。为了应对这些计算挑战，一群具有共同兴趣和计算需求的神经，生物医学和计算机科学家聚集在一起，寻求资金，以大大增加专用共享高性能计算设施的存储容量和带宽。四维和高角分辨率成像集，用于复杂的表面提取，非线性翘曲和复杂的是表面与来自不同来源的数据的多模态集成，对该系统的存储需求不断增加，已清楚地确定存储带宽的限制和总存储容量的问题，限制了大型成像研究的进展。所要求的存储升级将消除容量带宽争用，并使LONI调查人员和合作者能够最佳利用计算资源。已经制定了一项行政计划，根据该计划可以公平地管理这些设备。技术和管理人员也是受资助的参与者群体的一部分。持续的合作和共同的方案要求将使计算机代码、分析程序、计算战略和基础设施能力得以共享。所要求的仪器将提高LONI和精神分裂症、艾滋病毒/艾滋病和阿尔茨海默病等合作地点正在进行的计算生物医学研究的生产力，并促进为各种合作者和多学科研究人员开发前沿技术和应用程序。