SBIR PHASE II: A Global Multi-Grid General Minimal Residual(GMRES) Scheme for an Adaptive Cartesian/Prism Flow Solver on Distributed Memory Machines

这个小企业创新研究第二阶段项目将开发一个并行计算系统（PCS）的自适应笛卡尔/棱镜广义最小残差（GMRES）/多重网格流求解器。 该系统将包括以下模块：性能监视器、域分解器、GMRES/MultiGrid流求解器、动态负载均衡器和并行流可视化器。 性能监视器可以显示流模拟的收敛情况和每个处理器上的负载，并且在必要时启动动态负载均衡器。 域分解和并行流求解器将在第二阶段推广和扩展到三维。 对于一组工作站，每台计算机上的计算负荷不断变化，将开发动态负荷平衡器，以便在用户定义的时间间隔内平衡所有计算机上的负荷。该公司的商业流可视化工具CFD-VIEW将适用于分布式内存机器，以后处理并行流求解器产生的大量模拟数据。 消息传递接口（MPI）将用于提供不同模块和流求解器之间的数据通信。 PCS将在并行计算机和工作站集群上运行。 整个系统将把网格生成/区域分解、流场模拟、负载平衡和流场可视化集成到一个用户友好的并行计算环境中，以实现流场模拟的自动化、准确性和效率。 通过这项技术，CFD模拟的成本将有可能大幅降低。 成功的第二阶段应该产生一个产品，这将是非常有竞争力的，在当前的CFD软件市场，因为它的自动化，效率和并行计算能力。

This Small Business Innovation Research Phase II project will develop a Parallel Computing System (PCS) for an adaptive Cartesian/prism generalized minimal residual (GMRES)/multi-grid flow solver. The system will include the following modules: Performance Monitor, Domain Decompositioner, GMRES/MultiGrid Flow Solver, Dynamic Load Balancer, and Parallel Flow Visualizer. The Performance Monitor can display the convergence of the flow simulation and loads on each processor and if necessary launch the Dynamic Load Balancer. The Domain Decompositioner and Parallel Flow Solver will be generalized and extended to three-dimensions in Phase II. For a cluster of workstations with constantly changing computational loads on each computer, a Dynamic Load Balancer will be developed to balance the loads on all computers in user defined time intervals. The company's commercial flow visualizer, CFD-VIEW, will be adapted for distributed memory machines to post-process the massive simulation data produced by the parallel flow solver. A Message Passing Interface (MPI) will be utilized to provide data communications between different modules and flow solvers. The PCS will run on both parallel computers and a cluster of workstations. The overall system will integrate grid generation/domain decomposition, flow simulation, load balancing and flow visualization into a single user-friendly parallel computing environment to achieve automation, accuracy and efficiency for flow simulation. Through this technology, significant cost reduction in CFD simulation will be possible. A successful Phase II should yield a product which will be very competitive in the current CFD software market because of its automation, efficiency and parallel computation capability.