Efficient Parallel GPU Design on WRF Five-Layer Thermal Diffusion Scheme-Reference-Cited by-同舟云学术

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Efficient Parallel GPU Design on WRF Five-Layer Thermal Diffusion Scheme

Published:2015-05 Issue:5 Volume:8 Page:2249-2259
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Huang Melin,Huang Bormin,Chang Yang-Lang,Mielikainen Jarno,Huang Hung-Lung Allen,Goldberg Mitchell D.

Funder

National Oceanic and Atmospheric Administration

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/7161423/07110533.pdf?arnumber=7110533

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GPU-HADVPPM V1.0: a high-efficiency parallel GPU design of the piecewise parabolic method (PPM) for horizontal advection in an air quality model (CAMx V6.10);Geoscientific Model Development;2023-08-01

2. CC-RRTMG_SW++: Further optimizing a shortwave radiative transfer scheme on GPU;The Journal of Supercomputing;2022-05-18

3. Efficient Executions of Community Earth System Model onto Accelerators Using GPUs;2020 6th International Conference on Robotics and Artificial Intelligence;2020-11-20

4. GPUs-RRTMG_LW: high-efficient and scalable computing for a longwave radiative transfer model on multiple GPUs;The Journal of Supercomputing;2020-10-23

5. A Novel GPU-Based Acceleration Algorithm for a Longwave Radiative Transfer Model;Applied Sciences;2020-01-16

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