five

URANOS: A GPU accelerated Navier-Stokes solver for compressible wall-bounded flows

收藏
Mendeley Data2026-04-09 收录
下载链接:
https://data.mendeley.com/datasets/pw5hshn9k6/1
下载链接
链接失效反馈
官方服务:
资源简介:
URANOS, a massively parallel GPU-accelerated compressible flow solver for high-fidelity modeling of compressible wall flows, is presented. URANOS is based on modern high-fidelity and high-resolution discretization strategies for time-accurate compressible flow predictions. The solver provides six different convective scheme implementations, a cutting-edge method for viscous terms treatment, and three different frameworks for turbulence modeling (DNS, LES, and innovative WMLES), while utilizing a high-order finite-difference approach, ranging from second to sixth order spatial accuracy. This paper details all of these numerical models and implementation issues. Computationally, URANOS combines multiple three-dimensional MPI parallelization strategies with the open standard, OpenACC, for machine wide, on node, and on GPU parallelism, tailoring the software to match the state-of-the-art HPC computing facilities. Special attention is given to the GPU porting and data management, detailing the solver scaling properties and performance for multi-node/-GPU systems on three distinct architectures. In these experiments the different MPI strategies are compared for both GPU-aware MPI/GPU (Host-based MPI) and results are provided proving, consistently, that the GPU-aware MPI outperforms the GPU (Host-based MPI) approach. Furthermore, the GPU version is compared to the CPU only demonstrating over three times speed-up for a node-to-node comparison, even at large scales, with an efficiency of about 80% while using 1024 GPUs. Finally, the manuscript presents several validation benchmarks, from simple academic comparisons to turbulent channel and boundary layer configurations. URANOS is compared with the best DNS data available in the literature across various Mach numbers, ranging from almost incompressible conditions to hypersonic regimes, illustrating the solver's capability in treating a wide range of complex wall-flows problems using DNS, wall-resolved, and wall-modeled LES approaches. Thus, using OpenACC as a paradigm, URANOS provides a straightforward and efficient platform that can efficiently exploit the most modern GPU-accelerated computing architectures in a totally open-source and non-vendor-specific way. The solver represents a framework where the CFD community can explore the limits of modeling, test new models/methods all across a broad range of Mach and Reynolds numbers flows. The solver is released under a BSD license.
提供机构:
John Ballantyne
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作