Collaborative Research: EAGER: Speeding-up large-scale simulations of atmospheric composition

合作研究：EAGER：加速大气成分的大规模模拟

• 批准号: 2334507
• 负责人: Roch Guerin
• 金额: $ 20.74万
• 依托单位: Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2334507&HistoricalAwards=false
• 关键词: Collaborative; Research; EAGER; Speeding; up

This project targets improving how fast the GEOS-Chem 3D atmospheric simulation software runs and brings together computer scientists from Washington University and atmospheric scientists from MIT and Washington University. GEOS-Chem models the evolution of the chemical composition of the earth atmosphere, and is an essential tool in understanding climate change and what affects it. The simulation is complex and speeding it up has been the subject of intensive efforts. In particular, to leverage the near limitless computational resources of the “cloud”, the simulation can be broken-up into small independent tasks that can be assigned to different processors. The challenge is then to decide how to best distribute those tasks across processors so that the simulation completes as fast as possible. This is the focus of this proposal.GEOS-Chem models the evolution of the earth’s atmosphere using a “cubed-sphere” grid of the globe, with each grid element capturing an atmospheric column where complex chemical models simulate the evolution of chemical composition. The simulation operates in discrete time steps with neighboring columns exchanging information after each time step. Columns’ computational costs vary, and peak at sunrise and sunset because of temperature differentials. These variations need to be accounted for when distributing columns across processors to ensure loads as uniform as possible, as uneven loads significantly slow-down the simulation. Designing task/column assignments solutions that realize this goal is the primary intellectual focus of this project. This maps to a vector scheduling problem with the added complexity that computations and communications both affect the outcome. Developing solutions that account for those factors across compute environments is a core technical challenge the proposal targets.Tackling climate change and understanding what drives it is an enormous challenge with broad societal implications. The ability to rapidly simulate how the earth atmosphere responds to changes in its chemical composition represents an essential tool in addressing it. The expected contributions of the project can significantly boost our ability to explore how climate change arises and develop solutions to mitigate it, both of which can have significant economic and societal impact. In addition, the inherently interdisciplinary nature of the effort will provide a unique training opportunity to the postdoc the project will involve, and should position them well to succeed in an inherently interdisciplinary research landscape.Findings from the project will initially be made available on the project’s GitHub site at https://github.com/rochguerin/GEOS-Chem. However, we anticipate that as, contributions mature, especially those targeting enhancements to the GEOS-Chem software, many will migrate to the main GEOS-Chem website at https://geoschem.github.io/.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目旨在提高GEOS-Chem 3D大气模拟软件的运行速度，并汇集了来自华盛顿大学的计算机科学家以及麻省理工学院和华盛顿大学的大气科学家。 GEOS-Chem模拟地球大气层化学成分的演变，是了解气候变化及其影响因素的一个重要工具，模拟工作十分复杂，加速模拟工作一直是各方努力的主题。特别是，为了利用“云”近乎无限的计算资源，模拟可以分解为可以分配给不同处理器的小的独立任务。 接下来的挑战是决定如何在处理器之间最好地分配这些任务，以便尽可能快地完成模拟。 GEOS-Chem利用地球仪的“立方体球体”网格模拟地球大气层的演变，每个网格元素捕捉一个大气柱，其中复杂的化学模型模拟化学成分的演变。 模拟在离散时间步长中操作，相邻列在每个时间步长之后交换信息。 柱的计算成本各不相同，并且由于温度差异，在日出和日落时达到峰值。 在跨处理器分布列时需要考虑这些变化，以确保负载尽可能均匀，因为不均匀的负载会显著降低模拟速度。 设计实现这一目标的任务/列分配解决方案是本项目的主要智力焦点。 这映射到一个向量调度问题，计算和通信都影响结果，增加了复杂性。 该提案针对的一个核心技术挑战是开发解决方案，在计算环境中考虑这些因素。应对气候变化并了解其驱动因素是一项具有广泛社会影响的巨大挑战。 快速模拟地球大气层如何响应其化学成分变化的能力是解决这一问题的重要工具。该项目的预期贡献可以大大提高我们探索气候变化如何产生和制定缓解气候变化的解决方案的能力，这两者都可以产生重大的经济和社会影响。 此外，该项目固有的跨学科性质将为该项目所涉及的博士后提供一个独特的培训机会，并应使他们能够在固有的跨学科研究领域取得成功。该项目的研究结果最初将在该项目的GitHub网站www.example.com上提供https://github.com/rochguerin/GEOS-Chem。然而，我们预计，随着贡献的成熟，特别是那些针对增强GEOS-Chem软件的项目，许多项目将迁移到GEOS-Chem的主网站https://geoschem.github.io/.This奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。