libFastMesh: An optimized finite-volume framework for computational aeroacoustics

计算机科学 解算器 有限体积法 多边形网格 计算 计算科学 空气声学 计算空气声学 离散化 稳健性(进化) 并行计算 算法 数学 物理 电信 数学分析 生物化学 化学 计算机图形学(图像) 声压 机械 基因 程序设计语言
作者
Matteo Falone,Alon Zameret,Yann Delorme,Yanir Edri,Solal Amouyal,Mark Wasserman,Zhaohui Ding,Valerio D’Alessandro
出处
期刊:Computer Physics Communications [Elsevier BV]
卷期号:294: 108939-108939
标识
DOI:10.1016/j.cpc.2023.108939
摘要

This paper presents an optimized framework for simulating aeroacoustic flow on unstructured meshes. The libFastMesh (LFM) framework is based on a low-dissipation finite–volume discretization, together with high-order explicit time integration, for direct computation of aeroacoustic fields. These methods were previously implemented in caafoam, an OpenFOAM-based solver developed by D'Alessandro et al. [1] to resolve aeroacoustic flows. The new framework is specifically developed from scratch to alleviate two of the main bottlenecks currently limiting the performance of OpenFOAM-based solvers at large scale: memory bandwidth and inter-node communication. Compact data structures and compute kernel fusion are employed to enhance cache utilization and re-use, respectively. Separate treatment of inter-process boundary cells, together with non-blocking MPI communication enable effective overlap between communication and flux computations. The accuracy and robustness of libFastMesh are established via simulations of well-established aeroacoustic flow benchmarks. Comparison to previous simulation results obtained with caafoam, and to DNS data serve to validate the code. Finally, the effectiveness of the aforementioned optimizations is demonstrated through rigorous analysis of the proposed solver performance in single-node and multi-node operation modes. The obtained results show that libFastMesh offers a speed-up of up to 20x with respect to to the previously developed OpenFOAM-based solver, caafoam, in large-scale computations. Moreover, LFM is shown to scale extremely for cell-per-core ratios of less than 500. These results are particularly appealing given the highly resource-demanding nature of direct computational aeroacoustics (CAA). Consequently, LFM could be an extremely attractive tool for scientists who wish to conduct large-scale CAA simulations on modern, exascale architectures. Program Title: libFastMesh CPC Library link to program files: https://doi.org/10.17632/7w9fy2xtcf.1 Developer's repository link: https://github.com/TRC-HPC/LFM_Public Licensing provisions: GPLv3 Programming language: C++ Nature of problem: This software solves compressible Navier–Stokes equations. The adopted numerics and flow models allow to capture with high accuracy aerodinamically generated sound. The solver is also designed to take advantage of the massively parallel computing systems which are strictly required for facing real–life aeroacoustic problems. Solution method: The libFastMesh (LFM) framework is based on a low-dissipation finite–volume discretization, together with high-order explicit time integration, for direct computation of aeroacoustic fields on unstructured meshes. Convective terms can be approximated using either the Kurganov–Noelle–Petrova (KNP) scheme or Pirozzoli's energy conserving approach. Time integration is fully–explicit and relies on a low-storage, 4th order Runge–Kutta scheme. The solver is specifically developed to run efficiently on modern many-core CPUs, and at large-scale where it exhibits excellent strong scaling features. This is made possible thanks to several optimizations that alleviate memory bandwidth and inter-node communication bottlenecks. Additional comments: OpenFOAM-v2112+ is an installation prerequisite. Standard OpenFOAM pre-processing and post-processing tools, as well as mesh decomposition and reordering methods may be used with the solver.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
善学以致用应助YingXiong采纳,获得30
1秒前
3秒前
Cathy发布了新的文献求助10
3秒前
碇真嗣发布了新的文献求助10
4秒前
4秒前
缥缈的机器猫完成签到,获得积分10
4秒前
留胡子的丹彤完成签到,获得积分10
5秒前
天天快乐应助稳重的秋天采纳,获得10
6秒前
小徐医生完成签到,获得积分10
6秒前
77发布了新的文献求助10
7秒前
like完成签到,获得积分10
8秒前
wangke完成签到,获得积分10
8秒前
英姑应助www采纳,获得10
8秒前
nafy完成签到,获得积分10
9秒前
ZC完成签到,获得积分10
9秒前
ll应助缥缈的机器猫采纳,获得10
9秒前
小徐医生发布了新的文献求助10
9秒前
10秒前
zys完成签到,获得积分10
11秒前
黑压压的帝企鹅完成签到,获得积分10
12秒前
liwenwen完成签到,获得积分20
14秒前
Owen应助re采纳,获得10
15秒前
漂亮水绿发布了新的文献求助10
15秒前
wanci应助旧人旧街采纳,获得10
15秒前
粒粒2发布了新的文献求助10
16秒前
典雅碧空应助过时的哑铃采纳,获得10
16秒前
16秒前
热心市民小红花应助芜厸采纳,获得10
17秒前
Cathy完成签到,获得积分20
17秒前
17秒前
静水流深完成签到,获得积分10
17秒前
卡布达发布了新的文献求助10
18秒前
17381362015发布了新的文献求助10
19秒前
龙泉完成签到 ,获得积分10
20秒前
bkagyin应助shanika采纳,获得10
21秒前
啃猫爪发布了新的文献求助10
21秒前
22秒前
LI完成签到,获得积分10
22秒前
CodeCraft应助碇真嗣采纳,获得10
23秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Immigrant Incorporation in East Asian Democracies 600
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3966726
求助须知:如何正确求助?哪些是违规求助? 3512179
关于积分的说明 11162302
捐赠科研通 3247077
什么是DOI,文献DOI怎么找? 1793689
邀请新用户注册赠送积分活动 874549
科研通“疑难数据库(出版商)”最低求助积分说明 804429