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SIMD-Based Large-Scale Transient Stability Simulation on the Graphics Processing Unit

机译:图形处理单元上基于SIMD的大规模暂态稳定性仿真

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摘要

This paper presents a single-instruction-multiple-data (SIMD) based implementation of the transient stability simulation on the Graphics Processing Unit (GPU). Two programming models to implement the standard method of the transient stability simulation are proposed and implemented on a single GPU. In the first model the CPU is responsible for part of the simulation, while the onerous computations were offloaded to the GPU, creating a hybrid GPU-CPU simulator. In the second model, the GPU performs all the computations, while the CPU simply monitors the flow of the simulation. The accuracy of the proposed methods are validated using the PSS/E software for several large test systems. A substantial increase in speed was observed for the GPU-based simulations.
机译:本文提出了在图形处理单元(GPU)上基于单指令多数据(SIMD)的瞬态稳定性仿真的实现。提出了两种编程模型来实现瞬态稳定性仿真的标准方法,并在单个GPU上实现。在第一个模型中,CPU负责部分仿真,而繁重的计算则转移到GPU,从而创建了GPU-CPU混合仿真器。在第二个模型中,GPU执行所有计算,而CPU仅监视仿真流程。使用PSS / E软件对几种​​大型测试系统验证了所提出方法的准确性。对于基于GPU的仿真,观察到速度大大提高。

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