COMPUTER EQUIPMENT REQUEST

本建议书要求购买仪器， 数据处理导致复杂的模型估计， 在现有资源下是可行的。 建议的计算机硬件 和软件将用于18个NIH资助的研究项目， 北卡罗来纳州大学卡罗莱纳人口中心（CPC）， 查佩尔山。 这些项目目前使用或有潜力 使用由统计学家和计量经济学家编写的程序， 有限因变量模型估计，离散时间风险估计 模型，和/或提供样本设计效果的校正。 这些 程序将受益于最新的RISC工作站-Powerserver 用于并行处理的紧耦合集群配置技术 满足高级分析需求。 并行处理将导致数据分析的重大变化 提供迄今为止太昂贵和太慢的估计能力 日常使用。 购买此类设备和软件不是 由于成本方面的考虑， 但作为跨学科的共享资源， CPC提供的研究环境。 PowerServer集群 将提供一个量子增强性能超过其他现有的 目前在CPC或其他地方提供的设备。 虽然这种仪器的使用将特别用于 建立研究人员，它也将有利于初级教师在他们的 为他们的研究争取R 01资金。 这些教师往往不 有赠款组合支付大型主机成本的CPU- 密集型工作或购买所需类型的台式机电源， 模拟和估计技术。 硬件支持系统， 软件、编程和统计方面的专门知识将是非常宝贵的 培养新一代的研究人员。 该提议表明了计算机事务股的能力， 方案协调会统计股安装并充分利用这一系统 仪器，承诺CPC必须提供持续的支持， 新系统的维护以及计划的使用和管理 的设备。

This proposal requests the purchase of instrumentation for parallel processing of data resulting in complex model estimations that have not been feasible with existing resources. The proposed computer hardware and software will be used by 18 NIH-funded research projects at the Carolina Population Center (CPC) at the University of North Carolina at Chapel Hill (UNC). These projects presently use or have the potential to use programs, written by statisticians and econometricians, that estimate limited dependent variable model, estimate discrete time hazard models, and/or provide correction for sample design effects. These programs would benefit from the latest RISC workstation-Powerserver technology configured in tightly coupled cluster for parallel processing to address advanced analysis needs. Parallel processing will result in a major change in the analyses of data providing estimation capabilities heretofore too expensive and too slow for routine use. The purchase of such equipment and software is not feasible from individual research grants because of cost considerations, but is ideal for use as a shared resource in the interdisciplinary research setting that CPC provides. The proposed powerserver cluster will provide a quantum enhancement in performance over other existing equipment currently available at CPC or elsewhere at UNC. While the use this instrumentation will be of particular use to established researchers, it will also benefit junior faculty in their pursuit of R01 funding for their research. These faculty often do not have the grant portfolios to either pay large mainframe costs for CPU- intensive jobs or to purchase desktop power of the type needed for simulations and estimation techniques. A support system of hardware, software, and programming and statistical expertise would be invaluable in preparing the new generation of researchers. The proposal demonstrates the ability of the Computer Services Unit and Statistical Unit at CPC to install and take full advantage of this instrumentation, the commitment CPC has to provide ongoing support and maintenance for the new systems, and the planned use and administration of the equipment.