The Second Approach to Improving the Performance of the Lagrangian Particle Dispersion Model (LPDM) Using Graphics Processing Unit (GPU) Computing
Abstract
Certain atmospheric transport and dispersion models can take many hours to complete execution, such as the Lagrangian Particle Dispersion Model (LPDM) that simulates the ensemble average transport of aerosols and gases in turbulent wind conditions. The execution time needs to be reduced for these models, so they can be useful for rapid release and planning purposes. Performance improvements were achieved during the initial approach by using one technique of graphics processing unit (GPU) computing technology. This report documents the second approach of the implementation and integration processes using GPU computing technology to improve the LPDM codes performance. The execution time of GPU-accelerated LPDM application implementing the second approach was faster than both the original LPDM application without GPU computing and the GPU-accelerated LPDM application implementing the initial approach.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2018
- Accession Number
- AD1059392
Entities
People
- Leelinda P. Dawson
- Yansen Wang
Organizations
- United States Army Research Laboratory