Articles | Volume 17, issue 9
Development and technical paper
17 May 2024
Development and technical paper |  | 17 May 2024

Accelerating Lagrangian transport simulations on graphics processing units: performance optimizations of Massive-Parallel Trajectory Calculations (MPTRAC) v2.6

Lars Hoffmann, Kaveh Haghighi Mood, Andreas Herten, Markus Hrywniak, Jiri Kraus, Jan Clemens, and Mingzhao Liu


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2547', Anonymous Referee #1, 01 Feb 2024
  • RC2: 'Comment on egusphere-2023-2547', Anonymous Referee #2, 03 Feb 2024
  • RC3: 'Comment on egusphere-2023-2547', Anonymous Referee #3, 04 Feb 2024
  • AC1: 'Comment on egusphere-2023-2547', Lars Hoffmann, 02 Apr 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Lars Hoffmann on behalf of the Authors (02 Apr 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (09 Apr 2024) by Xiaomeng Huang
AR by Lars Hoffmann on behalf of the Authors (09 Apr 2024)
Short summary
Lagrangian particle dispersion models are key for studying atmospheric transport but can be computationally intensive. To speed up simulations, the MPTRAC model was ported to graphics processing units (GPUs). Performance optimization of data structures and memory alignment resulted in runtime improvements of up to 75 % on NVIDIA A100 GPUs for ERA5-based simulations with 100 million particles. These optimizations make the MPTRAC model well suited for future high-performance computing systems.