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Development of High-Performance CFD Coding Method for PC-Cluster Parallel Computing Environment

PC集群并行计算环境高性能CFD编码方法开发

基本信息

批准号：
14350524
负责人：
TAHARA Yusuke
金额：
$ 8.96万
依托单位：
Osaka Prefecture University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2002
资助国家：
日本
起止时间：
2002 至 2005
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-14350524/
关键词：
Computational Fluid Dynamics PC Cluster Message Passing Interface High-Performance Parallel Computing Simulation-Based Design Domain Decomposition RANS Equation Method Parallel-Based Non-Determinative Nonlinear Programming 高速並列計算高速並列計

项目摘要

Computational fluid dynamics (CFD) is an important component technology for simulation-based design (SBD), which will play essential role in design of new concept ships in next generation. Since beginning of 1990s, large effort has been directed toward development of higher fidelity CFD approach, i.e., Reynolds-averaged Navier-Stokes (RaNS) equation method with free-surface tracking or capturing capability. In general computational mechanics field, the global trend is moving toward utilization of larger mesh, such that computations with over 1 million grid points will be minimum routine task in very near future. The trend will be more accelerated by recent advancement of information technology (IT) especially for low-end high-performance computing facility, e.g., PC-Cluster parallel computing environment. However, availability of computational mechanics codes which fully utilize the parallel capability is still limited, and that holds true for CFD code in ship hydrodynamics. This is du … More e to a fact that parallel coding technique for recent RaNS method has not matured while compiler-based automatic parallel conversion is often found unsatisfactory.This four-year research project (Year-1 through Year-4) concerns development of large-scale high-performance (LSHP) CFD coding method for PC-cluster parallel computing environment. Main objective of the present study is enhancement of capability of RaNS equation solver and its advanced applications for LSHP computing in ship hull form design. In Year-1, focus was placed on setup. and initial evaluation of the present coding environment. The Message Passing Interface (MPI) protocol and the Score-D job scheduling method were implemented in the present system. Detailed performance evaluation of the system was done for high-performance parallel coding of CFD-based nonlinear programming and a domain-decomposition-based commercial RaNS equation solver. In Year-2 through Year-4, primary focus has been on parallel high-performance coding for author's multi-block RaNS method in association with physical domain decomposition, and CFD-based hull form optimization using a parallel-based non-determinative nonlinear programming. These were successfully completed and the results have been presented in more than 10 conference and international journal papers. Less

计算流体动力学（CFD）是基于仿真设计（SBD）的重要组成部分，将在下一代新概念船舶设计中发挥重要作用。自20世纪90年代初以来，大量的努力已经转向开发更高保真的CFD方法，即，具有自由表面跟踪或捕获能力的雷诺平均纳维尔-斯托克斯（RaNS）方程方法。在一般计算力学领域，全球趋势是走向利用更大的网格，这样的计算与超过100万个网格点将是最小的例行任务在不久的将来。这种趋势将由于信息技术（IT）的最近进步而更加加速，特别是对于低端高性能计算设施，例如，PC-集群并行计算环境。然而，充分利用并行能力的计算力学代码的可用性仍然有限，船舶流体动力学CFD代码也是如此。这是杜 ...更多信息针对目前RaNS方法的并行编码技术还不成熟，而基于编译器的自动并行转换又往往不能令人满意的现状，本研究计划（一至四年级）致力于开发PC机群并行计算环境下的大规模高性能CFD编码方法。本研究的主要目标是增强RaNS方程求解器的能力及其在船体形状设计中LSHP计算的高级应用。在第一年，重点放在设置上。以及对当前编码环境的初步评估。系统实现了消息传递接口（MPI）协议和Score-D作业调度方法。针对基于CFD的非线性规划的高性能并行编码和基于区域分解的商业RaNS方程求解器，对系统进行了详细的性能评估。在第二年到第四年，主要的重点是作者的多块RaNS方法与物理区域分解的并行高性能编码，以及基于CFD的船体形状优化使用基于并行的非确定性非线性规划。这些研究已成功完成，研究结果已在10多个会议和国际期刊论文中发表。少