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，汇集了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，对地球大气化学成分的演变进行了建模。模拟是理解气候变化及其影响因素的重要工具，加速模拟一直是人们努力的课题。特别是，为了利用“云”近乎无限的计算资源，模拟可以被分解。分成小的独立任务，可以然后，面临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 使用一个模型来模拟地球大气层的演化。地球的“立方球体”网格，每个网格元素捕获一个大气柱，其中复杂的化学模型模拟化学成分的演变，模拟以离散的时间步长进行，相邻的柱子在每个时间步长后交换信息。变化，并达到峰值在跨处理器分配列时需要考虑日出和日落，以确保负载尽可能均匀，因为不均匀的负载会显着减慢模拟速度，实现这一目标是设计任务/列分配解决方案的关键。该项目的主要智力焦点映射到向量调度问题，计算和通信都会影响结果，开发解决方案是该提案的核心技术挑战。理解什么快速模拟地球大气如何应对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显着提高我们探索气候变化的能力。此外，这项工作固有的跨学科性质将为该项目涉及的博士后提供独特的培训机会，并应为他们提供良好的定位。在本质上跨学科的研究领域取得成功。调查结果该项目最初将在该项目的 GitHub 网站 https://github.com/rochguerin/GEOS-Chem 上提供。但是，我们预计，随着成熟的贡献，特别是那些针对 GEOS-Chem 软件增强功能的贡献，许多人将会这样做。迁移到 GEOS-Chem 主网站 https://geoschem.github.io/。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。