• Title/Summary/Keyword: DDT(Domain Decomposition Technique

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Computation of Compressor Flows Using Parallel Implementation of Preconditioning Method (예조건화 기법의 병렬화를 이용한 압축기 유동해석)

  • Lee Gee-Soo;Choi Jeong-Yeol;Kim Kui-Soon
    • 한국전산유체공학회:학술대회논문집
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    • 2000.10a
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    • pp.155-162
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    • 2000
  • In this paper, preconditioning method is parallelized on fast-ethernet PC cluster. The algorithm is based on scaling the pressure terms in the momemtum equations and preconditioning the conservation equations to circumvent numerical difficulties at low Mach numbers. Parallelization is performed using a domain decomposition technique(DDT) and message passing between sub-domains are taken from the MPI library. The results are shown to have good convergence properties at all Mach number on the circular arc Bump and are capable of reasonable predicting two-dimensional turbulent flows on DCA compressor cascade.

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Parallelization of Multi-Block Flow Solver with Multi-Block/Multi-Partitioning Method (다중블록/다중영역분할 기법을 이용한 유동해석 코드 병렬화)

  • Ju, Wan-Don;Lee, Bo-Sung;Lee, Dong-Ho;Hong, Seung-Gyu
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.31 no.7
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    • pp.9-14
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    • 2003
  • In this work, a multi-block/multi-partitioning method is suggested for a multi-block parallelization. It has an advantage of uniform load balance via subdividing of each block on each processor. To make a comparison of parallel efficiency according to domain decomposition method, a multi-block/single-partitioning and a multi-block/ multi-partitioning methods are applied to the flow analysis solver. The multi-block/ multi-partitioning method has more satisfactory parallel efficiency because of optimized load balancing. Finally, it has applied to the CFDS code. As a result, the computing speed with sixteen processors is over twelve times faster than that of sequential solver.