Utilizing dynamic parallelism in CUDA to accelerate a 3D red-black successive over relaxation wind-field solver

Details

• Journal Title:
  Environmental Modelling & Software
• Personal Author:
  Bozorgmehr, Behnam ; Willemsen, Pete ; Gibbs, Jeremy A. ; Stoll, Rob ; Kim, Jae-Jin ; Pardyjak, Eric R.
• NOAA Program & Office:
  NSSL (National Severe Storms Laboratory) ; OAR (Oceanic and Atmospheric Research)
• Description:
  QES-Winds is a fast-response wind modeling platform for simulating high-resolution mean wind fields for optimization and prediction. The code uses a variational analysis technique to solve the Poisson equation for Lagrange multipliers to obtain a mean wind field and GPU parallelization to accelerate the numerical solution of the Poisson equation. QES-Winds benefits from CUDA dynamic parallelism (launching the kernel from the GPU) to speed up calculations by a factor of 128 compared to the serial solver for a domain with 145 million cells. The dynamic parallelism enables QES-Winds to calculate mean velocity fields for domains with sizes of 10km2 and horizontal resolutions of 1-3m in under 1 min. As a result, QES-Winds is a numerical code suitable for computing high-resolution wind fields on large domains in real time, which can be used to model a wide range of real-world problems including wildfires and urban air quality.
• Keywords:
  Ecological Modeling Environmental Engineering Software
• Source:
  Environmental Modelling & Software, 137, 104958
• DOI:
  https://doi.org/10.1016/j.envsoft.2021.104958
• ISSN:
  1364-8152
• Format:
  PDF
• Publisher:
  Elsevier BV
• Document Type:
  Journal Article
• Rights Information:
  Accepted Manuscript
• Compliance:
  Library
• Main Document Checksum:
  urn:sha-512:341b635c33b0f50e86c18f0bfb4a4a0e937dd335628de1762a493411351426058c133998c85239da2eb05b7866a2f137a844157bd0787421ff7ac848f00298a7
• Download URL:
  https://repository.library.noaa.gov/view/noaa/63863/noaa_63863_DS1.pdf
• File Type:
  [PDF - 1.16 MB ]