Optimizing meridional advection of the Advanced Research WRF (ARW) dynamics for Intel Xeon Phi coprocessor

Jarno Mielikainen; Bormin Huang; Allen H.-L. Huang

doi:10.1117/12.2180029

21 May 2015 Optimizing meridional advection of the Advanced Research WRF (ARW) dynamics for Intel Xeon Phi coprocessor

Jarno Mielikainen, Bormin Huang, Allen H.-L. Huang

Proceedings Volume 9501, Satellite Data Compression, Communications, and Processing XI; 95010Y (2015) https://doi.org/10.1117/12.2180029
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, MD, United States

Abstract

The most widely used community weather forecast and research model in the world is the Weather Research and Forecast (WRF) model. Two distinct varieties of WRF exist. The one we are interested is the Advanced Research WRF (ARW) is an experimental, advanced research version featuring very high resolution. The WRF Nonhydrostatic Mesoscale Model (WRF-NMM) has been designed for forecasting operations. WRF consists of dynamics code and several physics modules. The WRF-ARW core is based on an Eulerian solver for the fully compressible nonhydrostatic equations. In the paper, we optimize a meridional (north-south direction) advection subroutine for Intel Xeon Phi coprocessor. Advection is of the most time consuming routines in the ARW dynamics core. It advances the explicit perturbation horizontal momentum equations by adding in the large-timestep tendency along with the small timestep pressure gradient tendency. We will describe the challenges we met during the development of a high-speed dynamics code subroutine for MIC architecture. Furthermore, lessons learned from the code optimization process will be discussed. The results show that the optimizations improved performance of the original code on Xeon Phi 7120P by a factor of 1.2x.

Citation Download Citation

Jarno Mielikainen, Bormin Huang, and Allen H.-L. Huang "Optimizing meridional advection of the Advanced Research WRF (ARW) dynamics for Intel Xeon Phi coprocessor", Proc. SPIE 9501, Satellite Data Compression, Communications, and Processing XI, 95010Y (21 May 2015); https://doi.org/10.1117/12.2180029

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