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

计算流体动力学(CFD)是基于模拟的设计(SBD)的重要组成部分，它将在下一代新概念船的设计中发挥重要作用。自20世纪90年代初以来，人们一直致力于发展高保真的CFD方法，即具有自由面跟踪或捕获能力的雷诺平均N-S方程(RANS)方法。在一般计算力学领域，全球的趋势是使用更大的网格，在不久的将来，超过100万个网格点的计算将是最小的例行任务。最近信息技术(IT)的进步将加速这一趋势，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程序的可用性仍然是有限的，这一点对于船舶流体力学中的CFD程序也是如此。这是Du…更重要的是，目前RANS方法的并行编码技术并不成熟，而基于编译器的自动并行转换往往不能令人满意。本研究项目为期四年(1年至4年)，旨在为PC集群并行计算环境开发大规模高性能(LSHP)CFD编码方法。本研究的主要目的是增强RANS方程求解器的计算能力，并将其应用于船型设计中的LSHP计算。在第一年，重点放在设置上。以及对当前编码环境的初始评估。该系统实现了消息传递接口(MPI)协议和Score-D作业调度方法。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方程求解器进行了详细的性能评估。在第二年到第四年，主要关注作者的多块RANS方法结合物理区域分解的并行高性能编码，以及使用基于并行的非确定非线性规划的基于CFD的船型优化。这些工作已经圆满完成，并在10多篇会议论文和国际期刊论文中发表了成果。较少

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