This work presents a vision of future water resources hydrodynamics codes that can fully utilize the strengths of modern high-performance computing (HPC). The advances to computing power, formerly driven by the improvement of central processing unit processors, now focus on parallel computing and, in particular, the use of graphics processing units (GPUs). However, this shift to a parallel framework requires refactoring the code to make efficient use of the data as well as changing even the nature of the algorithm that solves the system of equations. These concepts along with other features such as the precision for the computations, dry regions management, and input/output data are analyzed in this paper. A 2D multi-GPU flood code applied to a large-scale test case is used to corroborate our statements and ascertain the new challenges for the next-generation parallel water resources codes.

这项工作提出了对未来水资源流体力学规范的愿景，该规范可以充分利用现代高性能计算（HPC）的优势。以前由中央处理单元处理器的改进推动的计算能力的提高，现在集中在并行计算，尤其是图形处理单元（GPU）的使用上。但是，这种向并行框架的转变要求重构代码以有效利用数据，甚至还要改变求解方程组的算法的性质。本文分析了这些概念以及其他功能，例如计算精度，干旱地区管理和输入/输出数据。