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• W3124349599 endingPage "3251" @default.
• W3124349599 startingPage "3235" @default.
• W3124349599 abstract "Fluid simulations are often performed using the incompressible Navier-Stokes equations (INSE), leading to sparse linear systems which are difficult to solve efficiently in parallel. Recently, kinetic methods based on the adaptive-central-moment multiple-relaxation-time (ACM-MRT) model [1], [2] have demonstrated impressive capabilities to simulate both laminar and turbulent flows, with quality matching or surpassing that of state-of-the-art INSE solvers. Furthermore, due to its local formulation, this method presents the opportunity for highly scalable implementations on parallel systems such as GPUs. However, an efficient ACM-MRT-based kinetic solver needs to overcome a number of computational challenges, especially when dealing with complex solids inside the fluid domain. In this article, we present multiple novel GPU optimization techniques to efficiently implement high-quality ACM-MRT-based kinetic fluid simulations in domains containing complex solids. Our techniques include a new communication-efficient data layout, a load-balanced immersed-boundary method, a multi-kernel launch method using a simplified formulation of ACM-MRT calculations to enable greater parallelism, and the integration of these techniques into a parametric cost model to enable automated prameter search to achieve optimal execution performance. We also extended our method to multi-GPU systems to enable large-scale simulations. To demonstrate the state-of-the-art performance and high visual quality of our solver, we present extensive experimental results and comparisons to other solvers." @default.
• W3124349599 created "2021-02-01" @default.
• W3124349599 creator A5000432967 @default.
• W3124349599 creator A5024040216 @default.
• W3124349599 creator A5043078695 @default.
• W3124349599 creator A5077601828 @default.
• W3124349599 date "2022-09-01" @default.
• W3124349599 modified "2023-10-16" @default.
• W3124349599 title "GPU Optimization for High-Quality Kinetic Fluid Simulation" @default.
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