Paper
15 October 2014 Application of Intel Many Integrated Core (MIC) architecture to the Yonsei University planetary boundary layer scheme in Weather Research and Forecasting model
Author Affiliations +
Proceedings Volume 9247, High-Performance Computing in Remote Sensing IV; 92470J (2014) https://doi.org/10.1117/12.2069430
Event: SPIE Remote Sensing, 2014, Amsterdam, Netherlands
Abstract
The Weather Research and Forecasting (WRF) model provided operational services worldwide in many areas and has linked to our daily activity, in particular during severe weather events. The scheme of Yonsei University (YSU) is one of planetary boundary layer (PBL) models in WRF. The PBL is responsible for vertical sub-grid-scale fluxes due to eddy transports in the whole atmospheric column, determines the flux profiles within the well-mixed boundary layer and the stable layer, and thus provide atmospheric tendencies of temperature, moisture (including clouds), and horizontal momentum in the entire atmospheric column. The YSU scheme is very suitable for massively parallel computation as there are no interactions among horizontal grid points. To accelerate the computation process of the YSU scheme, we employ Intel Many Integrated Core (MIC) Architecture as it is a multiprocessor computer structure with merits of efficient parallelization and vectorization essentials. Our results show that the MIC-based optimization improved the performance of the first version of multi-threaded code on Xeon Phi 5110P by a factor of 2.4x. Furthermore, the same CPU-based optimizations improved the performance on Intel Xeon E5-2603 by a factor of 1.6x as compared to the first version of multi-threaded code.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Melin Huang, Bormin Huang, and Allen H.-L. Huang "Application of Intel Many Integrated Core (MIC) architecture to the Yonsei University planetary boundary layer scheme in Weather Research and Forecasting model", Proc. SPIE 9247, High-Performance Computing in Remote Sensing IV, 92470J (15 October 2014); https://doi.org/10.1117/12.2069430
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Cited by 3 scholarly publications.
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KEYWORDS
Diffusion

Atmospheric modeling

Clouds

Data modeling

Fluid dynamics

Magnetorheological finishing

Computer architecture

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