TERAGRID ENABLED NATIONAL SCALE COMPUTATIONAL MODELS OF EPIDEMICS FOR MIDAS

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 我们将开发和演示支持TeraGrid的流行病计算模型。该项目将允许在MIDAS下开发的模型映射到大规模并行和分布式计算平台上，如TeraGrid。在早些时候的一项提案中，作为NIH赞助的MIDAS计划的一部分，我们使用TeraGrid设施来支持DHHS定义的政策研究，以准备应对流行病。MIDAS项目的任务是开发全国范围的大流行预防建模工具。EpiSims是MIDAS计划中使用的三个建模系统之一，是一个高度可扩展的分布式流行病学模拟系统。开发这些模型的一个重要问题是所需的分辨率和细节水平。这项研究提供了机会来探索非常详细、非常大型的模型的有用性，以及网格计算对这类模型的适用性。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. We will develop and demonstrate TeraGrid enabled computational models of epidemics. The project will allow models developed under MIDAS to be mapped onto massively parallel and distributed computing platforms such as the TeraGrid. In an earlier proposal, as a part of the NIH sponsored MIDAS program, we used TeraGrid facilities to support a DHHS defined policy study to prepare for pandemics. The MIDAS program has been tasked to develop national scale modeling tools for pandemic preparedness. EpiSims, one of three modeling systems being used as a part of the MIDAS program, is a highly scalable distributed epidemiological simulation system. An important question in developing these models is the required level of resolution and detail. This study offers the opportunity to explore both the usefulness of very detailed, very large models and the appropriateness of grid computing for models of this kind.