Acceleration of the Parameterization of Unified Microphysics Across Scales (PUMAS) on the Graphics Processing Unit (GPU) With Directive‐Based Methods
Abstract Cloud microphysics is one of the most time‐consuming components in a climate model. In this study, we port the cloud microphysics parameterization in the Community Atmosphere Model (CAM), known as Parameterization of Unified Microphysics Across Scales (PUMAS), from CPU to GPU to seek a comp...
Main Authors: | Jian Sun, John M. Dennis, Sheri A. Mickelson, Brian Vanderwende, Andrew Gettelman, Katherine Thayer‐Calder |
---|---|
Format: | Article |
Language: | English |
Published: |
American Geophysical Union (AGU)
2023-05-01
|
Series: | Journal of Advances in Modeling Earth Systems |
Subjects: | |
Online Access: | https://doi.org/10.1029/2022MS003515 |
Similar Items
-
A Code Generation Framework for Targeting Optimized Library Calls for Multiple Platforms
by: Tan, Wen Jun, et al.
Published: (2015) -
Errors Classification and Static Detection Techniques for Dual-Programming Model (OpenMP and OpenACC)
by: Huda Saleh Basloom, et al.
Published: (2022-01-01) -
Optimizing UniFrac with OpenACC Yields Greater Than One Thousand Times Speed Increase
by: Igor Sfiligoi, et al.
Published: (2022-06-01) -
ACC_TEST: Hybrid Testing Approach for OpenACC-Based Programs
by: Fathy Elbouraey Eassa, et al.
Published: (2020-01-01) -
Improving Security at Work with Software that Uses OpenMP
by: P. S. Polishuk
Published: (2010-03-01)