TERAGRID ENABLED NATIONAL SCALE COMPUTATIONAL MODELS OF EPIDEMICS FOR MIDAS

TERAGRID 为 MIDAS 提供了国家规模的流行病计算模型

• 批准号: 7601477
• 负责人: Madhav Vishnu Marathe
• 金额: $ 0.03万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2008-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7601477
• 关键词: Architecture; Computer Retrieval of Information on Scientific Projects Database; Computer Simulation; Environment; Epidemic; Funding; Grant; Institution; Maps; Methods; Modeling; Policies; Purpose; Readiness; Research; Research Personnel; Resolution; Resources; Simulate; Source; System; Technology; United States National Institutes of Health; cluster computing; epidemiological model; infectious disease model; pandemic disease; programs; simulation; size; tool

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 the Models of Infectious Disease Agent Study (MIDAS) to be mapped onto massively parallel and distributed computing platforms such as TeraGrid. In an earlier proposal, we used TeraGrid facilities to support DHHS defined policy study to prepare against pandemics. The current proposal seeks to develop methods that will substantially increase the size of instances that can be simulated while keeping the same level of resolution. To this end, we will develop the first Grid-enabled implementation of EpiSims simulation using the TeraGrid environment. The purpose is to compose regional epidemiological simulations into national scale models emphasizing the appropriate use of grid technology. The proposed effort will use Globus to provide low level primitives for grid computing. EpiSims is a highly scalable distributed epidemiological simulation system. It has been successfully shown to scale on a variety HPC platforms including parallel machines with 1000+ processors. The NIH sponsored MIDAS program has been tasked to develop national scale modeling tools for pandemic preparedness. An important question in developing such models is the required level of resolution and detail. EpiSims represents a highly detailed approach to epidemiological modeling. It is also modular and maps naturally on distributed computing architectures. 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.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 我们将开发和演示TeraGrid支持的流行病计算模型。该项目将允许在传染病病原体研究模型（MIDAS）下开发的模型映射到大规模并行和分布式计算平台，如TeraGrid。在早期的提案中，我们使用TeraGrid设施来支持DHHS定义的政策研究，以预防流行病。目前的提案旨在开发方法，在保持相同分辨率的同时，大幅增加可以模拟的实例的大小。为此，我们将使用TeraGrid环境开发第一个支持网格的EpiSims仿真实现。其目的是将区域流行病学模拟纳入国家规模的模型，强调适当使用网格技术。建议的努力将使用Globus提供低层次的网格计算原语。EpiSims是一个高度可扩展的分布式流行病学模拟系统。它已被成功证明可在各种HPC平台上扩展，包括具有1000多个处理器的并行机。美国国立卫生研究院赞助的MIDAS计划的任务是开发全国规模的流行病准备建模工具。开发这种模型的一个重要问题是所需的分辨率和细节水平。EpiSims代表了一种非常详细的流行病学建模方法。它也是模块化的，自然地映射到分布式计算架构上。这项研究提供了一个机会，探索非常详细，非常大的模型的有用性，以及网格计算对这种模型的适当性。