원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.8 No.2
2015.02
pp.121-134
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In order to solve the simulation problem of steady compressible turbulent combustion, a small scale high performance parallel cluster system was designed. It based on the open source CFD platform OpenFOAM, and was used to to simulate the bluff－body stabilized Sydney flame hm1 which refers to the detailed chemical kinetic mechanisms of coal gas and air combustion reaction. The flow of combustion reaction component concentration distribution and temperature curve diagram are plotted according to the computational results. The comparison between the simulation and the experimental results shows that this parallel cluster system has efficient computation for steady compressible turbulent combustion flow.
목차
Abstract
1. Introduction
2. Design of Parallel Computation Platform
2.1. Software Configuration
2.2. SSH Server
2.3. Hardware Configuration
3. The Performance Analysis of Cluster System
3.1. HPL Arithmetic Brief Description
3.2. Factors of Influence Performance
3.3. NB-the Size of a Block Matrix
3.4. PXQ- distribution of Process Gird
3.5. The Correspondences between Process and Processor
4. The Summarization of Analysis for Test Results
4.1. Efficiency of Single Node
4.2. Communication among Nodes
5. The Parallel Computation of Openfoam on Cluster System
5.1. Partition Algorithm
5.2. Example and Test
5.3. The Simulation Results and Analysis
5.4. The Computational Process and Results of Analysis Calculation
5.5. The Analysis of Parallel Effect
6. Conclusions
Acknowledgements
References
1. Introduction
2. Design of Parallel Computation Platform
2.1. Software Configuration
2.2. SSH Server
2.3. Hardware Configuration
3. The Performance Analysis of Cluster System
3.1. HPL Arithmetic Brief Description
3.2. Factors of Influence Performance
3.3. NB-the Size of a Block Matrix
3.4. PXQ- distribution of Process Gird
3.5. The Correspondences between Process and Processor
4. The Summarization of Analysis for Test Results
4.1. Efficiency of Single Node
4.2. Communication among Nodes
5. The Parallel Computation of Openfoam on Cluster System
5.1. Partition Algorithm
5.2. Example and Test
5.3. The Simulation Results and Analysis
5.4. The Computational Process and Results of Analysis Calculation
5.5. The Analysis of Parallel Effect
6. Conclusions
Acknowledgements
References
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