Performance comparison of the A-grid and C-grid shallow-water models on icosahedral grids-Reference-Cited by-同舟云学术

Performance comparison of the A-grid and C-grid shallow-water models on icosahedral grids

Published:2022-11-15 Issue: Volume: Page:109434202211395
ISSN:1094-3420
Container-title:The International Journal of High Performance Computing Applications
language:en
Short-container-title:The International Journal of High Performance Computing Applications

Author:

Middlecoff Jacques¹^ORCID,Yu Yonggang G²,Govett Mark W¹

Affiliation:

1. Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, and Global Systems Laboratory, NOAA/Earth System Research Laboratories, Boulder, CO, USA

2. National Center for Atmospheric Research, Boulder, CO, USA

Abstract

This study uses a single software framework to compare the CPU performance of Arakawa A-grid (NICAM) and C-grid (MPAS) schemes for solving the shallow-water equations on icosahedral grids. The focus is on high-resolution weather prediction. Performance analysis shows the simpler structure of the A-grid equations enables compiler optimization-based efficiency gains that the C-grid equations cannot match. Strong scaling runs at 3.5 km resolution show the A-grid is three times faster than the C-grid, enabling the A-grid to run at 50% higher resolution in only 15% more time. A performance comparison with the MPAS shallow-water model is included which demonstrates that our software implementation of the C-grid is robust and comparisons are fair.

Publisher

SAGE Publications

Subject

Hardware and Architecture,Theoretical Computer Science,Software

Link

http://journals.sagepub.com/doi/pdf/10.1177/10943420221139509

Reference22 articles.

1. Arakawa A, Lamb VR, 1977: Computational design of the basic dynamical processes of the UCLA general circulation model. Methods in Computational Physics, Chang J., Ed., Vol.17, Academic Press, 173–265.

2. Centroidal Voronoi Tessellations: Applications and Algorithms

3. The Scalable Modeling System: directive-based code parallelization for distributed and shared memory computers

4. Parallelization and Performance of the NIM Weather Model on CPU, GPU, and MIC Processors

5. A Finite-Volume Icosahedral Shallow-Water Model on a Local Coordinate

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