Modern On-Site High Performance Computing System

项目摘要/摘要 这项提议是为了获得能够实现有效现场存储的计算仪器(CI)， 创建和处理当前几乎完全关闭存储、创建和处理的数据集- 网站，这既是物流上的非优化，也是金钱上的挥霍。该仪器将直接支持 NIH获奖者小组(也称为主要用户)，以及次要用户小组 用户(也称为次要用户)，他们在纽约州立大学的持续成功高度依赖于 关于拟议设备的能力。 主要用户的研究范围包括计算神经科学、心脏生物物理学、 精神病学遗传学和神经动力学，深度包括数千个小时和数百万个模拟小时 数据点，其实现和分析超出了标准桌面的处理能力 计算机，其存储需要一个强大的、专用的和大容量的集中系统。场外 数据存储和处理通常被视为一种有吸引力的选择，但数据传输速度总是存在的 关注、获取资源的担忧，以及持续的和意外的、应计的相关成本，结束 结果是不必要的工作完成等待时间和每个工作的高昂费用：拟议的CI将 有效减少作业完成等待时间和单次作业费用，对及时完成作业绝对必要 试验性的完成。 由于纽约州立大学市中心目前缺乏任何形式的现代高性能计算(HPC)处理- 存储产品，所请求的配置项将构成此类服务的基础。日常运营和技术 CI的管理将由PI负责，并得到HPC咨询委员会的支持， 它将提供关于使用和操作政策的指导。纽约州立大学下州分校完全致力于 立即和持续支持拟议的CI，包括PI-薪金和基础设施维护资金， 并热衷于建立有效的现场高性能混凝土。

Project Summary / Abstract This proposal is for the acquisition of a computational instrument (CI) that will enable effective on-site storage, creation, and processing of datasets that are currently stored, created, and processed almost exclusively off- site, which is both logistically non-optimal and monetarily profligate. Said instrument will directly support a group of NIH awardees (also referred to as the Major Users), in addition to a subsidiary group of secondary users (also referred to as the Minor Users), whose continued success at SUNY Downstate is highly dependent on the capabilities of the proposed equipment. The research breadth of the Major Users comprises computational neuroscience, cardiac biophysics, psychiatric genetics, and neurodynamics, and the depth comprises thousands of simulation hours and millions of data points, whose realization and analyses are beyond the processing power afforded a standard desktop computer, and whose storage necessitates a robust, dedicated, and capacious centralized system. Off-site data storage and processing often is seen as an attractive option, but, there are always data-transport-speed concerns, access-to-resource concerns, and continued and unexpected, accrued, associated costs, the end result being both unnecessarily long job-completion wait times and high per-job expenses: the proposed CI will effectively reduce job-completion wait times and per-job expenses, and be absolutely essential for timely experimental completions. As SUNY Downstate currently lacks any sort of modern high-performance-computing (HPC) processing- storage offering, the requested CI will form the basis of a such a service. Day-to-day operations and technical administration of the CI will be the responsibility of the PI, with support from the HPC Advisory Committee, which will provide guidance on usage and operational policies. SUNY Downstate is fully committed to immediate and on-going support for the proposed CI, including PI-salary and infrastructure-maintenance funds, and is keen on establishing effective on-site HPC.