Articles | Volume 17, issue 9
https://doi.org/10.5194/gmd-17-4077-2024
https://doi.org/10.5194/gmd-17-4077-2024
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

Viewed

Total article views: 774 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
593 147 34 774 18 21
  • HTML: 593
  • PDF: 147
  • XML: 34
  • Total: 774
  • BibTeX: 18
  • EndNote: 21
Views and downloads (calculated since 08 Jan 2024)
Cumulative views and downloads (calculated since 08 Jan 2024)

Viewed (geographical distribution)

Total article views: 774 (including HTML, PDF, and XML) Thereof 778 with geography defined and -4 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Jul 2024
Download
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.