High performance LINPACK (HPL) benchmark is used to evaluate the maximum floating-point performance of a computer cluster. Since the performance of the graphics processing unit (GPU) has been improved rapidly, many researchers start to optimize HPL benchmark through GPU to maximize system utilization. Nevertheless, it is difficult to determine the optimal combination of parameters in this process due to the complexity of the input. Therefore, running HPL on a heterogeneous system is time-consuming and is not flexible under different hardware components. So we propose a simulation model of HPL in this paper. The model is no longer limited by hardware components and able to simulate the execute process of HPL across different computing node in heterogeneous GPU-enhanced clusters at any scale. It can also assist researchers in evaluating the floating-point performance quickly and provide a reference for the hardware investment.

高性能LINPACK（HPL）基准用于评估计算机群集的最大浮点性能。由于图形处理单元（GPU）的性能已迅速提高，因此许多研究人员开始通过GPU优化HPL基准，以最大程度地提高系统利用率。然而，由于输入的复杂性，在此过程中难以确定参数的最佳组合。因此，在异构系统上运行HPL非常耗时，并且在不同的硬件组件下不灵活。因此，本文提出了HPL仿真模型。该模型不再受硬件组件的限制，并且能够在各种规模的异构GPU增强的群集中跨不同计算节点模拟HPL的执行过程。