The Simulation of Thermal Flow Field in LPCVD Chamber Using Parallel DSMC Method
碩士 === 國立交通大學 === 機械工程系 === 90 === In this thesis, the parallelization is applied to DSMC method by utilizing chain partitioner. The computation is carried out on a PC cluster system consisting of nine processors. The preliminary results are compared with the Hsiao’s single-processor re...
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ndltd-TW-090NCTU04890392015-10-13T10:06:24Z http://ndltd.ncl.edu.tw/handle/73951074901214840920 The Simulation of Thermal Flow Field in LPCVD Chamber Using Parallel DSMC Method 應用平行化之DSMC法模擬LPCVD腔體之熱流場 Zhong-Yuan Zang 臧忠元 碩士 國立交通大學 機械工程系 90 In this thesis, the parallelization is applied to DSMC method by utilizing chain partitioner. The computation is carried out on a PC cluster system consisting of nine processors. The preliminary results are compared with the Hsiao’s single-processor results [5], to demonstrate the advantage of parallelization. The computational domain is decomposed according to the same number of simulated particles in each processor. When a parallel program is executed on a distributed memory system, the speedup may not be proportional linearly to the number of processor. The computing load in each processor becomes lighter by increasing the processor number, whereas the communication load becomes heavier at the same time. Therefore the efficiency becomes worse with an increment of processor number. The parametric studies are based on the variations of particle number, computing domain size and time step, respectively. The better speedup and efficiency can be achieved when the particle number and computational domain increase. The performance does not depend on time step in present case because the variation of particle number is not severe. Chiun-Hsun Chen 陳俊勳 2002 學位論文 ; thesis 66 en_US |
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碩士 === 國立交通大學 === 機械工程系 === 90 === In this thesis, the parallelization is applied to DSMC method by utilizing chain partitioner. The computation is carried out on a PC cluster system consisting of nine processors. The preliminary results are compared with the Hsiao’s single-processor results [5], to demonstrate the advantage of parallelization. The computational domain is decomposed according to the same number of simulated particles in each processor. When a parallel program is executed on a distributed memory system, the speedup may not be proportional linearly to the number of processor. The computing load in each processor becomes lighter by increasing the processor number, whereas the communication load becomes heavier at the same time. Therefore the efficiency becomes worse with an increment of processor number. The parametric studies are based on the variations of particle number, computing domain size and time step, respectively. The better speedup and efficiency can be achieved when the particle number and computational domain increase. The performance does not depend on time step in present case because the variation of particle number is not severe.
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author2 |
Chiun-Hsun Chen |
author_facet |
Chiun-Hsun Chen Zhong-Yuan Zang 臧忠元 |
author |
Zhong-Yuan Zang 臧忠元 |
spellingShingle |
Zhong-Yuan Zang 臧忠元 The Simulation of Thermal Flow Field in LPCVD Chamber Using Parallel DSMC Method |
author_sort |
Zhong-Yuan Zang |
title |
The Simulation of Thermal Flow Field in LPCVD Chamber Using Parallel DSMC Method |
title_short |
The Simulation of Thermal Flow Field in LPCVD Chamber Using Parallel DSMC Method |
title_full |
The Simulation of Thermal Flow Field in LPCVD Chamber Using Parallel DSMC Method |
title_fullStr |
The Simulation of Thermal Flow Field in LPCVD Chamber Using Parallel DSMC Method |
title_full_unstemmed |
The Simulation of Thermal Flow Field in LPCVD Chamber Using Parallel DSMC Method |
title_sort |
simulation of thermal flow field in lpcvd chamber using parallel dsmc method |
publishDate |
2002 |
url |
http://ndltd.ncl.edu.tw/handle/73951074901214840920 |
work_keys_str_mv |
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