Enabling Climate Simulation at Extreme Scale - ECS

实现极端规模的气候模拟 - ECS

基本信息

项目摘要

Exascale systems will allow unprecedented reduction of the uncertainties in climate change predictions via ultra-high-resolution models, fewer simplifying assumptions, large climate ensembles, and simulation at scales needed to predict local effects. This is essential given the cost and consequences of inaction or wrong actions about climate change. To achieve this, we need careful co-design of future exascale systems and climate codes to handle lower reliability, increased heterogeneity, and increased importance of locality. Our effort will initiate an international collaboration of climate and computer scientists that will identify the main roadblocks and analyze and test initial solutions for the execution of climate codes at extreme scale. This work will provide guidance for the future evolution of climate codes. We will pursue research projects to handle known roadblocks to resilience, scalability, and use of accelerators, and we will organize international, interdisciplinary workshops to gather information and disseminate results. The global nature of the climate challenge and the magnitude of the task strongly favor an international collaboration. The consortium gathers senior and early career researchers from USA, France, Germany, Spain, Japan and Canada. To be successful, we assemble: • Leading experts on climate simulation, climate code developers, resilience, scalability at the system level, and performance optimization at the node level. • Teams working on four major climate codes (CESM1, EC-EARTH, ECSM, NICAM).
亿亿级系统将通过超高分辨率模型、更少的简化假设、大型气候集合以及预测局部影响所需的规模模拟,前所未有地减少气候变化预测的不确定性。考虑到对气候变化不采取行动或采取错误行动的成本和后果,这一点至关重要。为了实现这一目标,我们需要对未来的百亿亿次系统和气候规范进行仔细的共同设计,以应对可靠性降低、异质性增加和局部性重要性增加的问题。我们的努力将启动气候和计算机科学家的国际合作,确定主要障碍,并分析和测试极端规模执行气候法规的初步解决方案。这项工作将为气候法规的未来演变提供指导。我们将开展研究项目,以解决弹性、可扩展性和加速器使用方面的已知障碍,并将组织国际跨学科研讨会来收集信息和传播结果。气候挑战的全球性和任务的艰巨性非常有利于国际合作。该联盟聚集了来自美国、法国、德国、西班牙、日本和加拿大的高级和早期职业研究人员。为了取得成功,我们聚集了: • 气候模拟、气候代码开发人员、系统级弹性、可扩展性以及节点级性能优化方面的领先专家。 • 致力于四个主要气候规范(CESM1、EC-EARTH、ECSM、NICAM)的团队。

项目成果

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Professor Dr. Felix Wolf其他文献

Professor Dr. Felix Wolf的其他文献

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{{ truncateString('Professor Dr. Felix Wolf', 18)}}的其他基金

ExtraPeak - Automatic Performance Modeling of HPC Applications with Multiple Model Parameters
ExtraPeak - 具有多个模型参数的 HPC 应用程序的自动性能建模
  • 批准号:
    323299120
  • 财政年份:
    2017
  • 资助金额:
    --
  • 项目类别:
    Research Grants

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CAREER: AI-enabled Integrated Nutrient, Streamflow, and Parcel sImulation for Resilient agroEcosystems (INSPIRE): a framework for climate-smart crop production and cleaner water
职业:基于人工智能的弹性农业生态系统综合养分、水流和地块模拟 (INSPIRE):气候智能型作物生产和清洁水的框架
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EMPHASIS-GO: Bringing Emphasis to Operation: European Infrastructure for Multi-Scale Plant Phenomics and Simulation for Food Security in a Changing Climate
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促进英国气候适应能力的随机模拟
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