Earthquake Research Advances2025，Vol.5Issue(3)：P.81-87,7.DOI:10.1016/j.eqrea.2024.100357
High-performance CPU-GPU heterogeneous computing method for 9-component ambient noise cross-correlation
Jingxi Wang 1Weitao Wang 2Chao Wu 3Lei Jiang 4Hanwen Zou 1Huajian Yao 5Ling Chen6
作者信息
- 1. Laboratory of Seismology and Physics of Earth''s Interior,School of Earth and Space Sciences,University of Science and Technology of China,Hefei,230026,China
- 2. Institute of Geophysics,China Earthquake Administration,Beijing,100081,China
- 3. Network and Information Center,Supercomputing Center,University of Science and Technology of China,Hefei,230026,China
- 4. School of Computer Science and Technology,University of Science and Technology of China,Hefei,230026,China
- 5. Laboratory of Seismology and Physics of Earth''s Interior,School of Earth and Space Sciences,University of Science and Technology of China,Hefei,230026,China Mengcheng National Geophysical Observatory,University of Science and Technology of China.Laboratory of Seismology and Physics of Earth''s Interior,School of Earth and Space Sciences,University of Science and Technology of China,Hefei,230026,China
- 6. College of Earth and Planetary Sciences,University of Chinese Academy of Sciences.State Key Laboratory of Lithospheric Evolution,Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing,100029,China
- 折叠
摘要
关键词
Nine-component NCFs/Heterogeneous computing/Ambient noise tomography/CUDA/tf-PWS分类
地球科学引用本文复制引用
Jingxi Wang,Weitao Wang,Chao Wu,Lei Jiang,Hanwen Zou,Huajian Yao,Ling Chen..High-performance CPU-GPU heterogeneous computing method for 9-component ambient noise cross-correlation[J].Earthquake Research Advances,2025,5(3):P.81-87,7.基金项目
supported by the Key Research and Development Program of China(2021YFC3000704) （2021YFC3000704）
Institute of Geophysics,China Earthquake Administration Grant DQJB23R18 （）
the USTC Research Funds of the Double First-Class Initiative(YD2080002012) （YD2080002012）
NSFC Grant(U2239206)。 （U2239206）
