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A Parallel JPWSPC Algorithm for Hydrodynamic Simulation of River Network

机译:河网水动力仿真的并行JPWSPC算法

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摘要

To diminish the hydrodynamic simulation time of complex river network, a parallel computation algorithm based on JPWSPC (joint point water stage prediction and correction) is proposed. In the iteration of solving procedure of PJPWSPC algorithm, computation of each reach can be performed in slave process, and water level prediction and correction of joint point is executed in the master process with the MPI API employed in the communication between master process and slave process. This parallel framework for river network hydrodynamic simulation can be harnessed in the loop network as well as the tributary network. The relation between speed-up ratio and average segment count of river network calculated in single process is Preliminary analyzed and the grouping method of branches for task scheduling is constructed by analyzing the computing process of each reach and communication between master process and slave process. Two hydrodynamic scheme simulation of natural river network is carried out. The estimation method can be employed in the grouping of branched in the hydrodynamic simulation of river network and the multiobjective computing resources allocation in the massive river network hydrodynamic simulation in the cloud computing based framework (HydroMP).
机译:为了减少复杂河网的水动力模拟时间,提出了一种基于JPWSPC的并行计算算法(联合水位预测与修正)。在PJPWSPC算法求解过程的迭代中,可以在从属过程中执行每个范围的计算,并且在主过程中使用主过程与从属过程之间的通信所使用的MPI API来执行水位预测和关节点的校正。 。可以在环网和支流网中利用这种并行的河网水力模拟框架。初步分析了单进程计算出的河网提速比与平均网段数之间的关系,并通过分析各段的计算过程以及主进程与从进程之间的通信,构造了任务调度分支的分组方法。进行了自然河网的两种水动力方案模拟。在基于云计算的框架(HydroMP)中,该估算方法可用于河网水动力仿真中的分支分组和大规模河网水动力仿真中的多目标计算资源分配。

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