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.

该项目的目标是改善Geos-Chem 3D大气模拟软件运行的速度，并将来自华盛顿大学的计算机科学家和MIT和华盛顿大学的大气科学家汇总在一起。 Geos-Chem对地球大气的化学成分的演变进行了建模，并且是理解气候变化及其影响的重要工具。模拟很复杂，加速它是密集型努力的主题。特别是，为了利用“云”的几乎有限的计算资源，可以将模拟分解为可以分配给不同处理器的小型独立任务。然后，挑战是决定如何最好地在处理器上分配这些任务，以使模拟尽可能快地完成。这是该提案的重点。GEOS-CHEM使用地球的“立方体球”网格对地球大气的演变进行建模，每个网格元件都捕获一个大气柱，其中复杂的化学模型模拟了化学成分的演化。在每个时间步长之后，模拟在离散的时间步长以交换信息交换信息。列的计算成本各不相同，由于温度差而在日出和日落时达到峰值。在跨处理器分发柱时，需要考虑这些变化，以确保载荷尽可能均匀，因为不均匀的负载会显着减速模拟。设计任务/列分配解决方案以实现此目标是该项目的主要智力重点。这将计算和通信都会影响结果的额外复杂性绘制到矢量调度问题。开发解决方案来解释跨计算环境的这些因素是提案目标的核心技术挑战。对气候变化和了解驱动的驱动力是巨大的挑战，具有广泛的社会影响。快速模拟地球大气对其化学成分变化的反应的能力代表了解决效果的重要工具。该项目的预期贡献可以显着提高我们探索气候变化如何产生和制定解决方案以减轻该项目的能力，这两者都会产生重大的经济和社会影响。此外，努力的固有跨学科性质将为该项目提供独特的培训机会，并应将其定位得很好，以在固有的跨学科研究环境中取得成功。但是，我们预计，随着贡献成熟，尤其是针对地理位置软件增强的那些贡献，许多人将迁移到https://geoschem.github.io/.io/.io/.io/.io/.io/.io/.io/.io this奖中，许多人将迁移到主要的Geos-Chem网站。