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Utilizing dynamic parallelism in CUDA to accelerate a 3D red-black successive over relaxation wind-field solver
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2021
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Source: Environmental Modelling & Software, 137, 104958
[PDF-1.16 MB]
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Journal Title:Environmental Modelling & Software
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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.
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Source:Environmental Modelling & Software, 137, 104958
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ISSN:1364-8152
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Rights Information:Accepted Manuscript
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Compliance:Library
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