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

Autor:	Jacques Middlecoff, Yonggang G Yu, Mark W Govett
Rok vydání:	2022
Předmět:	Hardware and Architecture Software Theoretical Computer Science
Zdroj:	The International Journal of High Performance Computing Applications. :109434202211395
ISSN:	1741-2846 1094-3420
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fe55361ce034e843cfd8f54008618f45 https://doi.org/10.1177/10943420221139509 Zobrazit plný text záznamu