G8 Multilateral Research Funding - ICOMEX

G8 多边研究资助 - ICOMEX

基本信息

批准号：
NE/J005436/1
负责人：
John Thuburn
金额：
$ 27.9万
依托单位：
UNIVERSITY OF EXETER
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2012
资助国家：
英国
起止时间：
2012 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=NE%2FJ005436%2F1
关键词：
G8 Multilateral Research Funding ICOMEX

项目摘要

There is an ongoing need for a capability to run atmospheric models at higher resolution, to improve weather forecasts, particularly of severe weather, to improve understanding of climate processes, and to improve climate prediction. Higher resolution can only be achieved by exploiting future supercomputing platforms based on hundreds of thousand of processors; for such architectures communication between processors is a significant bottleneck to performance, and requires quite different algorithms from those used historically.Grids based on a refined icosahedron provide a promising basis for a new generation of atmospheric models. Their quasi-uniform resolution should minimize the communication bottleneck giving good performance. Recent advances in numerical analysis mean that schemes of sufficient accuracy are now available. Local refinement of the grid is possible where higher resolution is needed for specific applications. An icosahedral grid model has been used operationally by the German Weather Service for several years, and several other groups have such models at an advanced stage of development.The proposed project will assess and compare the parallel computing performance of a number of icosahedral grid models and carry out research to improve their performance. The specific research topics include the development of an abstract model description scheme to separate (as far as possible) numerical analysis issues from computer science issues, a model implementation targeted on Graphical Processing Unit (GPU) based architectures, development and evaluation of elliptic solvers to determine the feasibility of stable long-time-step integration schemes, the development of an internal postprocessing package to provide diagnostics required by the user while minimizing the data output bottleneck, and development of strategies to optimize input/output. The University of Exeter will contribute particularly to the elliptic solver and postprocessing work packages.

持续需要以更高分辨率运行大气模型的能力，以改进天气预报，特别是恶劣天气的预报，提高对气候过程的了解，并改进气候预测。更高分辨率只能通过利用基于数十万个处理器的未来超级计算平台来实现；对于此类架构，处理器之间的通信是性能的一个重要瓶颈，并且需要与历史上使用的算法完全不同的算法。基于精制二十面体的网格为新一代大气模型提供了有希望的基础。它们的准统一分辨率应最大限度地减少通信瓶颈，从而提供良好的性能。数值分析的最新进展意味着现在可以获得足够精确的方案。当特定应用需要更高分辨率时，可以对网格进行局部细化。二十面体网格模型已被德国气象局投入使用多年，其他几个小组也已将此类模型置于开发的高级阶段。拟议项目将评估和比较多个二十面体网格模型的并行计算性能，以及进行研究以提高他们的绩效。具体研究主题包括开发抽象模型描述方案以（尽可能）将数值分析问题与计算机科学问题分开、针对基于图形处理单元（GPU）的架构的模型实现、椭圆求解器的开发和评估确定稳定的长时间步长积分方案的可行性，开发内部后处理包以提供用户所需的诊断，同时最大限度地减少数据输出瓶颈，以及开发优化输入/输出的策略。埃克塞特大学将特别为椭圆求解器和后处理工作包做出贡献。