@inproceedings{024c4615ace943e786e5fcf7827d05fd,
title = "Improving the Parallelism of CESM on GPU",
abstract = "Community Earth System Model (CESM) is one of the most popular climatology research models. However, the computation of CESM is quite expensive and usually lasts for weeks even on high-performance clusters. In this paper, we propose several optimization strategies to improve the parallelism of three hotspots in CESM on GPU. Specifically, we analyze the performance bottleneck of CESM and propose corresponding GPU accelerations. The experiment results show that after applying our GPU optimizations, the kernels of the physical model achieve significant performance speedup respectively.",
keywords = "CESM, GPU, Performance optimization",
author = "Zehui Jin and Ming Dun and Xin You and Hailong Yang and Yunchun Li and Yingchun Lin and Zhongzhi Luan and Depei Qian",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 19th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2019 ; Conference date: 09-12-2019 Through 11-12-2019",
year = "2020",
doi = "10.1007/978-3-030-38961-1\_2",
language = "英语",
isbn = "9783030389604",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "11--18",
editor = "Sheng Wen and Albert Zomaya and Yang, \{Laurence T.\}",
booktitle = "Algorithms and Architectures for Parallel Processing - 19th International Conference, ICA3PP 2019, Proceedings",
address = "德国",
}