气候变化领域集成服务门户(CCPortal): The FastEddy® Resident-GPU Accelerated Large-Eddy Simulation Framework: Model Formulation, Dynamical-Core Validation and Performance Benchmarks

CCPortal

DOI	10.1029/2020MS002100
	The FastEddy® Resident-GPU Accelerated Large-Eddy Simulation Framework: Model Formulation, Dynamical-Core Validation and Performance Benchmarks
	Sauer J.A.; Muñoz-Esparza D.
发表日期	2020
ISSN	19422466
卷号	12 期号:11
英文摘要	This paper introduces a new large-eddy simulation model, FastEddy®, purpose built for leveraging the accelerated and more power-efficient computing capacity of graphics processing units (GPUs) toward adopting microscale turbulence-resolving atmospheric boundary layer simulations into future numerical weather prediction activities. Here a basis for future endeavors with the FastEddy® model is provided by describing the model dry dynamics formulation and investigating several validation scenarios that establish a baseline of model predictive skill for canonical neutral, convective, and stable boundary layer regimes, along with boundary layer flow over heterogeneous terrain. The current FastEddy® GPU performance and efficiency gains versus similarly formulated, state-of-the-art CPU-based models is determined through scaling tests as 1 GPU to 256 CPU cores. At this ratio of GPUs to CPU cores, FastEddy® achieves 6 times faster prediction rate than commensurate CPU models under equivalent power consumption. Alternatively, FastEddy® uses 8 times less power at this ratio under equivalent CPU/GPU prediction rate. The accelerated performance and efficiency gains of the FastEddy® model permit more broad application of large-eddy simulation to emerging atmospheric boundary layer research topics through substantial reduction of computational resource requirements and increase in model prediction rate. ©2020. The Authors.
英文关键词	accelerated; GPU; LES; model formulation; validation
语种	英语
scopus关键词	Atmospheric movements; Benchmarking; Boundary layer flow; Computer graphics; Efficiency; Graphics processing unit; Large eddy simulation; Program processors; Verification; Weather forecasting; Boundary layer researches; Computational resources; Dynamics formulation; Heterogeneous terrains; Numerical weather prediction; Stable boundary layer; Substantial reduction; Validation scenarios; Atmospheric boundary layer; benchmarking; boundary layer; computer system; data processing; energy use; hardware; large eddy simulation; prediction; weather forecasting; Trachinotus falcatus
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156593
作者单位	Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, United States
推荐引用方式 GB/T 7714	Sauer J.A.,Muñoz-Esparza D.. The FastEddy® Resident-GPU Accelerated Large-Eddy Simulation Framework: Model Formulation, Dynamical-Core Validation and Performance Benchmarks[J],2020,12(11).
APA	Sauer J.A.,&Muñoz-Esparza D..(2020).The FastEddy® Resident-GPU Accelerated Large-Eddy Simulation Framework: Model Formulation, Dynamical-Core Validation and Performance Benchmarks.Journal of Advances in Modeling Earth Systems,12(11).
MLA	Sauer J.A.,et al."The FastEddy® Resident-GPU Accelerated Large-Eddy Simulation Framework: Model Formulation, Dynamical-Core Validation and Performance Benchmarks".Journal of Advances in Modeling Earth Systems 12.11(2020).