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）的重要组成技术，该技术将在下一代新概念船的设计中发挥重要作用。自1990年代初以来，大力努力致力于开发更高的忠诚CFD方法，即具有自由表面跟踪或捕获功能的雷诺平均纳维尔 - 斯托克斯（RANS）方程方法。在一般的计算机械领域中，全球趋势正在朝着更大的网格的利用趋势，因此，在不久的将来，具有超过100万个网格点的计算将是最低限度的常规任务。尤其是对于低端高性能计算设施，例如PC群集并行计算环境，信息技术的最新进步（IT）将更加加速趋势。但是，充分利用并行功能的计算力学代码的可用性仍然有限，并且对于船舶流体动力学中的CFD代码而言是正确的。这是一个事实，这是一个事实，即最近的RANS方法的并行编码技术尚未成熟，而基于编译器的自动并行转换通常不令人满意。这个为期四年的研究项目（1年至4年）涉及开发用于PC群集并行计算环境的大规模高性能（LSHP）CFD编码方法。本研究的主要目的是提高兰斯方程求解器的能力及其在船体船体形式设计中的LSHP计算的高级应用。在第1年，将重点放在设置上。以及当前编码环境的初步评估。消息传递接口（MPI）协议和Score-D作业计划方法在本系统中实现。该系统的详细性能评估是针对基于CFD的非线性编程和基于域分解的商业RANS等式求解器的高性能并行编码进行的。在2年级到4年级中，主要重点一直放在作者的多块rans方法与物理域分解相关的平行高性能编码上，并使用基于平行的基于基于基于平行的非确定的非线性编程的基于CFD的船体形式优化。这些成功完成，结果已在10多个会议和国际期刊论文中提出。较少的