Collaborative Research: Petascale Simulation of Viral Infection Propagation Through Air Travel

合作研究：通过航空旅行传播病毒感染的千万亿级模拟

• 批准号: 1640911
• 负责人: Matthew Scotch
• 金额: $ 1.55万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1640911&HistoricalAwards=false
• 关键词: Collaborative; Research; Petascale; Simulation; Viral; Collaborative; Research; Petascale; Simulation; Viral

Air travel has been identified as a leading factor in the spread of infections, such as influenza, and this has motivated calls for limitations on air travel in order to prevent the spread of disease outbreak. However, such limitations carry considerable economic and human costs. Consequently, it is necessary to evaluate the extent of impact of air travel on spread of viral diseases and to also identify policy options that can mitigate its spread without major disruption to air travel. Computer simulations play a crucial role in evaluating viable policy options and exploring potential consequences of decisions taken by policy makers. The goal of Project VIPRA is to use the Blue Waters leadership computing system to create a massively parallel simulation infrastructure that will provide useful insight to decision makers dealing with viral infection propagation through air travel. This infrastructure will enable formulation of new policies that will reduce the likelihood of a pandemic, contributing to NSF's mission to advance the health, prosperity and welfare of our nation.Project VIPRA uses a fine-scale model for human movement, which can capture detailed dynamics, and so can evaluate the impact of subtle changes in procedures that have the potential to bring a substantial reduction in the likelihood of an epidemic spreading through air travel. This fine-scale approach comes with the bottleneck of high computational cost. In preliminary work on Blue Waters, the time required for the primary component of the computation, related to spread of Ebola Virus Disease in an airplane, has been reduced from several hours to around 20 minutes per run on approximately 70,000 cores. These optimizations make it easy to analyze anticipated policies ahead of an emergency. However, in the course of a decision meeting, results for potential new policies need to be produced within a couple of minutes. In addition, air-borne viral diseases, in the more complex situations seen in airports, will require even greater computational effort. This can be handled using GPUs on Blue Waters and by further scaling the computation to greater parallelism. This Blue Waters allocation will enable deployment of an optimized decision support system that can analyze policy or procedural options in the time constraints of a new emergency.

航空旅行已被确定为感染传播（例如流感）的主要因素，这激发了对航空旅行限制的呼吁，以防止疾病爆发的传播。但是，这种限制带来了相当大的经济和人力成本。因此，有必要评估航空旅行对病毒疾病传播的影响的程度，并确定可以减轻其传播而不会严重破坏航空旅行的政策选择。计算机模拟在评估可行的政策选择和探索政策制定者做出的决策的潜在后果方面起着至关重要的作用。 VIPRA项目的目的是使用蓝色水域领导力计算系统来创建一个大规模的平行模拟基础架构，该基础架构将为通过航空旅行处理病毒感染传播的决策者提供有用的见解。 这种基础架构将实现新政策的制定，以减少大流行的可能性，从而有助于NSF提高国家的健康，繁荣和福利的使命。项目对人类运动使用精细的模型，可以通过详细的影响来捕捉详细的动态，从而使该流程的影响有实质性变化，从而可以使该流程的影响重新进行，从而可以提高详细的影响。航空旅行。这种精细的方法带有高计算成本的瓶颈。在蓝色水域的初步工作中，计算的主要组成部分所需的时间与飞机中埃博拉病毒疾病的扩散有关，在大约70,000个核心上的每次跑步数量从几个小时减少到约20分钟。这些优化使得在紧急情况之前可以轻松分析预期的政策。但是，在决策会议的过程中，需要在几分钟内制定潜在的新政策的结果。此外，在机场中更复杂的情况下，空中传播病毒疾病将需要更大的计算努力。可以使用蓝色水上的GPU并将计算进一步缩放到更大的并行性来处理。这种蓝色水域分配将使可以在新紧急情况的时间限制下分析优化的决策支持系统，该系统可以分析政策或程序选项。