Enabling Climate Simulation at Extreme Scale - ECS

百亿亿次系统将通过超高分辨率模型、更少的简化假设、大型气候集合和预测局部影响所需的尺度模拟，前所未有地减少气候变化预测中的不确定性。考虑到在气候变化问题上不作为或采取错误行动的代价和后果，这一点至关重要。为了实现这一目标，我们需要仔细地共同设计未来的百亿亿级系统和气候代码，以应对可靠性降低、异质性增加和局域性增加的重要性。我们的努力将启动气候和计算机科学家的国际合作，以确定主要障碍，并分析和测试在极端规模下执行气候代码的初步解决方案。这项工作将为气候代码的未来演变提供指导。我们将开展研究项目，以处理已知的阻碍弹性、可扩展性和加速器使用的障碍，我们将组织国际跨学科研讨会，以收集信息和传播结果。气候挑战的全球性和任务的艰巨性强烈要求开展国际合作。该联盟汇集了来自美国、法国、德国、西班牙、日本和加拿大的资深和早期职业研究人员。为了取得成功，我们汇集了：•气候模拟方面的领先专家，气候代码开发人员，系统级的弹性，可扩展性和节点级的性能优化。•四个主要气候规范（CESM1, EC-EARTH， ECSM， NICAM）的团队。

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).