Adaptive Workload-Balanced Scheduling Strategy for Global Ocean Data Assimilation on Massive GPUs

Author:

Xiao Junmin1ORCID,Shui Chaoyang1ORCID,Cai Di1ORCID,Wang Kangyu1ORCID,Pang Yunfei1ORCID,Li Mingyi1ORCID,Ma Hui2ORCID,Tan Guangming1ORCID

Affiliation:

1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

2. Institute of Computing Technology, Chinese Academy of Sciences, Beijng, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Reference34 articles.

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2. Performance study on CUDA GPUs for parallelizing the local ensemble transformed Kalman filter algorithm

3. Met Office Hadley Centre. 1990. Met Office Hadley Centre for Climate Science and Services. (1990). https://www.metoffice.gov.uk/weather/climate/met-office-hadley-centre/index Met Office Hadley Centre. 1990. Met Office Hadley Centre for Climate Science and Services. (1990). https://www.metoffice.gov.uk/weather/climate/met-office-hadley-centre/index

4. Ke Chen , Yadong Liu , Liyuan Liu , Yidong Yu , Yiqi Dong , and Yala Tong . 2019. Research on Atmospheric Data Assimilation Algorithm Based on Parallel Time-Varying Dual Compression Factor Particle Swarm Optimization Algorithm with GPU Acceleration . In International Symposium on Intelligence Computation and Applications . Springer , 87--96. Ke Chen, Yadong Liu, Liyuan Liu, Yidong Yu, Yiqi Dong, and Yala Tong. 2019. Research on Atmospheric Data Assimilation Algorithm Based on Parallel Time-Varying Dual Compression Factor Particle Swarm Optimization Algorithm with GPU Acceleration. In International Symposium on Intelligence Computation and Applications. Springer, 87--96.

5. A Chrzeszczyk and J Chrzeszczyk . 2013. Matrix computations on the GPU CUBLAS and MAGMA by example. URL: https://developer.nvidia.com/sites/default/files/akamai/cuda/files/Misc/mygpu.pdf (request data 16.09. 2015) ( 2013 ). A Chrzeszczyk and J Chrzeszczyk. 2013. Matrix computations on the GPU CUBLAS and MAGMA by example. URL: https://developer.nvidia.com/sites/default/files/akamai/cuda/files/Misc/mygpu.pdf (request data 16.09. 2015) (2013).

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