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Parallel performance of large scale impact simulations on Linux cluster super computer

机译:在Linux集群超级计算机上并行执行大规模冲击仿真

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Three-dimensional analyses with fine solid meshes have become quite common in large deformation impact problems. As the complexity of the problem increases in size and resolution, it is necessary to utilize a parallel dynamic code on parallel systems. The purpose of this paper is to present the parallel performance of a new FEM impact code tested on self-made Linux cluster supercomputer for high speed impact problems. Almost ideal speed-up is achieved for the fixed and scaled Taylor bar model even up to 256 CPUs, although some inefficiency is still identified in parallel FE calculation resulting from the increased communication overhead. In the case of metal sphere impacting to oblique plate, the overall speed-up increases continuously even up to 128 CPUs. Investigation of elapsed time of each part reveals that most of the inefficiency comes from the load imbalance of contact. The two benchmark problems demonstrate the possibility of large scale three-dimensional dynamic simulations within a reasonable computational time.
机译:在大变形冲击问题中,具有精细实体网格的三维分析已变得非常普遍。随着问题的复杂性在大小和解决方案上的增加,有必要在并行系统上使用并行动态代码。本文的目的是介绍在自制Linux集群超级计算机上针对高速撞击问题测试的新FEM撞击代码的并行性能。对于固定和按比例缩放的泰勒巴模型,即使多达256个CPU,也几乎可以达到理想的加速效果,尽管由于通信开销的增加,在并行有限元计算中仍然发现效率低下。如果金属球撞击到斜板上,则整体加速甚至在多达128个CPU的情况下也持续增加。对每个部分的经过时间的调查表明,大多数效率低下是由于接触的负载不平衡引起的。这两个基准问题说明了在合理的计算时间内进行大规模三维动态仿真的可能性。

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