EVALUATION OF CANDIDATE VACCINE TECHNOLOGIES USING AGENT BASED COMPUTATIONAL ME

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。 这项提案寻求为我们最近资助的比尔和梅林达·盖茨基金会题为使用计算模型评估候选疫苗技术的赠款提供计算支持。我们召集了一个由匹兹堡大学公共卫生研究生院、宾夕法尼亚州立大学帝国理工学院和匹兹堡超级计算机中心的研究人员组成的团队，进行了一个独特的项目，该项目将涉及临床数据收集和计算建模，以帮助了解如何创建疫苗技术，提高关键易感人群的接受度。我们在这里请求为我们的项目的四年中的第一年提供计算支持，以开始创建模型以了解一些候选疾病的传播。请求的支持是在TeraGrids最新的机器之一Pople上的计算机时间，即PSC的SGI Altix 4700。我们需要执行的模拟需要大量的共享内存，这是该资源提供的独特能力。我们将为即将到来的一年提供必要计算的理由和估计，我们还将提供Advanced TeraGrid支持的理由，以帮助我们在研究的关键方面，特别是在理解如何最有效和高效地使用所请求的资源方面。

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. This proposal seeks computational support for our recently funded Bill and Melinda Gates Foundation grant entitled Evaluation of Candidate Vaccine Technologies Using Computational Models. We have assembled a team of researchers from the Graduate School of Public Health at the University of Pittsburgh, Penn State, Imperial College, and the Pittsburgh Supercomputing Center for a unique project that will involve both clinical data collection and computational modeling to help understand how to create vaccine technologies that increase acceptance in key susceptible populations. We are here requesting computational support for the first of the four years of our project to begin the work of creating models to understand the spread of a number of candidate diseases. The support requested is for computer time on the one of the TeraGrids newest machines, Pople, the SGI Altix 4700 at the PSC. The simulations we need to perform require a large amount of shared-memory, which is a unique capability provided by this resource. Justification and estimations of the necessary computations for the upcoming year will be given, and we will also provide justification for Advanced TeraGrid support to assist us in vital aspects of our research, especially in understanding how to most effectively and efficiently use the requested resource.