Hardware Acceleration of Simulations of Extreme Weather Events

极端天气事件模拟的硬件加速

• 批准号: EP/K000802/1
• 负责人: Wim Vanderbauwhede
• 金额: $ 3.23万
• 依托单位: University of Glasgow
• 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=EP%2FK000802%2F1
• 关键词: Hardware; Acceleration; Simulations; Extreme; Weather

This is a proposal for a two-month research visit to the Disaster Prevention Research Institute of the University of Kyoto in Japan, to work with Prof. Tetsuya Takemi of the Atmospheric and Hydrospheric Disasters Division on hardware acceleration of simulations of extreme weather events. Hardware acceleration means the use of special hardware -- in our case General-Purpose Graphics Processing Units (GPGPUs) and Field-Programmable Gate Arrays (FPGAs) to speed up a computational task.In particular, our aim is to reduce the simulation times for models using the Weather Research and Forecasting (WRF) model, the leading next-generation model for weather and climate simulations. This will allow the models to be run at higher precision, which is essential in the prediction of extreme weather events.The main purpose of this research visit is to lay the groundwork for a long-term collaboration including research groups in Japan and the UK, with the aim of accelerating the full Weather Research and Forecasting (WRF) model and adding support for FPGA acceleration.

这是对日本京都大学灾难预防研究所进行为期两个月的研究访问的提案，与大气和水界灾害部门的Tetsuya Takemi教授合作，涉及极端天气事件的硬件加速。硬件加速度是指使用特殊硬件 - 在我们的情况下通用图形处理单元（GPGPU）和现场可编程可编程的门阵列（FPGAS）来加快计算任务。特别是，我们的目的是减少模型使用天气研究和预测（WRF）模型的模型模型，该模型的模型，领先的下一代模型和climate Simulations。这将使模型以更高的精度运行，这对于预测极端天气事件至关重要。这次研究访问的主要目的是为长期合作奠定基础，包括日本和英国的研究小组，以加速完整的天气研究和预测（WRF）模型（WRF）模型并增加对FPGA加速的支持。

项目成果

An analysis of the feasibility and benefits of GPU/multicore acceleration of the Weather Research and Forecasting model

• DOI: 10.1002/cpe.3522
• 发表时间: 2016-05
• 期刊: Concurrency and Computation: Practice and Experience
• 作者: W. Vanderbauwhede;T. Takemi

An investigation into the feasibility and benefits of GPU/multicore acceleration of the weather research and forecasting model

• DOI: 10.1109/hpcsim.2013.6641457
• 发表时间: 2013-07
• 期刊: 2013 International Conference on High Performance Computing & Simulation (HPCS)
• 作者: W. Vanderbauwhede;T. Takemi