中圖分類號(hào)： TP391
文獻(xiàn)標(biāo)識(shí)碼： A
DOI：10.16157/j.issn.0258-7998.212397
中文引用格式： 呂小敬，劉釗，蔡蕙伊，等. 面向國(guó)產(chǎn)神威眾核架構(gòu)的區(qū)域氣候模式CWRF性能優(yōu)化技術(shù)[J].電子技術(shù)應(yīng)用，2022，48(1)：31-38.
英文引用格式： Lv Xiaojing，Liu Zhao，Cai Huiyi，et al. Optimization technology for regional climate model-CWRF based on domestic Sunway many-core architecture[J]. Application of Electronic Technique，2022，48(1)：31-38.

Optimization technology for regional climate model-CWRF based on domestic Sunway many-core architecture

Abstract： CWRF(Climate-Weather Research and Forecasting model) is a component of the regional climate prediction system built in the National Climate Center, and consumes the largest proportion of time. High performance computing is a key technology used to improve the compactional performance of CWRF. Carrying out the configuration and optimization of the CWRF model based on the domestic Sunway many-core system, improving the simulation efficiency are of great significance for the speedup, as well as the development capability and sustainable development of the model. This paper completed the configuration and performance evaluation of CWRF based on the SW26010 many-core architecture. Memory access optimization, Cache hit rate optimization, many-core acceleration models are introduced to speedup CWRF relating to the dynamic-core process, physical process and I/O process. The results show that the average speed of the dynamic process is 2 times and the highest speed is 6.4 times, the average speed of the physical process is 1.7 times and the highest speed is 5.4 times, the I/O process speeds up 1.2 times, the overall program speeds up to 1.4 times, and the calculation error is reasonable.

Key words : CWRF；high performance computing；Sunway；SW26010