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A new Parallel Algorithm for Casting Simulation on Distributed Memory Computer Architectures

机译:分布式内存计算机体系结构上铸造模拟的新并行算法

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摘要

In this paper a new parallel algorithm for distributed memory computer architectures for the simulation of solidification including convection, mould filling and thermal stresses will be discussed. A good load balancing strategy and the domain decomposition are the main problems and the keys to achieve a good performance. The basic idea is to subdivide the whole domain into smaller cubes (Load Balance Units). The number of fluid cells, as computational weight, defines a weighted graph. Graph partitioning programs, like Metis, can be used to compute a near optimal domain decomposition. Due to the expanding computational domain as the mould filling simulation proceeds, an optimization problem has to be solved for the activation and necessary redistribution of the LBU's. The performance of the new algorithm will be discussed on several benchmarks. A low cost PC-Cluster with up to 32 processors is used and it will be shown that the type of the communication network is important.
机译:在本文中,将讨论一种新的用于分布式存储计算机体系结构的并行算法,用于模拟凝固过程,包括对流,模具填充和热应力。好的负载均衡策略和域分解是主要问题,也是实现良好性能的关键。基本思想是将整个域细分为较小的多维数据集(负载平衡单位)。流体单元的数量(作为计算权重)定义了加权图。图分区程序(例如Metis)可用于计算接近最佳的域分解。由于随着模具填充模拟的进行,计算域不断扩大,因此必须解决优化问题,以激活LBU并进行必要的重新分配。新算法的性能将在几个基准上进行讨论。使用了具有多达32个处理器的低成本PC-Cluster,将显示出通信网络的类型很重要。

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