J011011 高性能並列流体計算のための大規模格子生成手法の開発([J011-01]次世代スパコン「京」が拓くシミュレーションの新時代(1))

鵜沢 憲, 大西 順也, 小野 謙二

研究成果: 会議への寄与タイプ論文

抄録

Computational fluid dynamics (CFD) analysis consists of three phases: 1) pre-processing, e.g., grid generation; 2) fluid analysis; and 3) post-processing, e.g., visualization. With the recent improvement in computer performance, pre-processing takes up a higher proportion of the total number of processes in extensive and complex CFD analyses. In this study, we developed a novel method for automatic generation of robust structured grids during the initial stage of fluid analysis to reduce the computational cost of grid generation. By implementing this method, we successfully reduced the computational cost of grid generation, and approximately thirty million grids were generated on the K computer within thirty minutes. By using these generated grids, over eighty percent weak scaling up to 4000 nodes on the K computer is obtained.
元の言語Japanese
ページ"J011011-1"-"J011011-3"
出版物ステータス出版済み - 9 8 2013

Fingerprint

Fluids
Computational fluid dynamics
Processing
Dynamic analysis
Costs
Visualization

これを引用

@conference{56ca9b39835044ea845d044fc91d919d,
title = "J011011 高性能並列流体計算のための大規模格子生成手法の開発([J011-01]次世代スパコン「京」が拓くシミュレーションの新時代(1))",
abstract = "Computational fluid dynamics (CFD) analysis consists of three phases: 1) pre-processing, e.g., grid generation; 2) fluid analysis; and 3) post-processing, e.g., visualization. With the recent improvement in computer performance, pre-processing takes up a higher proportion of the total number of processes in extensive and complex CFD analyses. In this study, we developed a novel method for automatic generation of robust structured grids during the initial stage of fluid analysis to reduce the computational cost of grid generation. By implementing this method, we successfully reduced the computational cost of grid generation, and approximately thirty million grids were generated on the K computer within thirty minutes. By using these generated grids, over eighty percent weak scaling up to 4000 nodes on the K computer is obtained.",
author = "憲 鵜沢 and 順也 大西 and 謙二 小野",
year = "2013",
month = "9",
day = "8",
language = "Japanese",
pages = "{"}J011011--1{"}--{"}J011011--3{"}",

}

TY - CONF

T1 - J011011 高性能並列流体計算のための大規模格子生成手法の開発([J011-01]次世代スパコン「京」が拓くシミュレーションの新時代(1))

AU - 鵜沢, 憲

AU - 大西, 順也

AU - 小野, 謙二

PY - 2013/9/8

Y1 - 2013/9/8

N2 - Computational fluid dynamics (CFD) analysis consists of three phases: 1) pre-processing, e.g., grid generation; 2) fluid analysis; and 3) post-processing, e.g., visualization. With the recent improvement in computer performance, pre-processing takes up a higher proportion of the total number of processes in extensive and complex CFD analyses. In this study, we developed a novel method for automatic generation of robust structured grids during the initial stage of fluid analysis to reduce the computational cost of grid generation. By implementing this method, we successfully reduced the computational cost of grid generation, and approximately thirty million grids were generated on the K computer within thirty minutes. By using these generated grids, over eighty percent weak scaling up to 4000 nodes on the K computer is obtained.

AB - Computational fluid dynamics (CFD) analysis consists of three phases: 1) pre-processing, e.g., grid generation; 2) fluid analysis; and 3) post-processing, e.g., visualization. With the recent improvement in computer performance, pre-processing takes up a higher proportion of the total number of processes in extensive and complex CFD analyses. In this study, we developed a novel method for automatic generation of robust structured grids during the initial stage of fluid analysis to reduce the computational cost of grid generation. By implementing this method, we successfully reduced the computational cost of grid generation, and approximately thirty million grids were generated on the K computer within thirty minutes. By using these generated grids, over eighty percent weak scaling up to 4000 nodes on the K computer is obtained.

UR - http://ci.nii.ac.jp/naid/110009934574

M3 - 論文

SP - "J011011-1"-"J011011-3"

ER -