Performance study of distributed state estimation algorithms on the HiPerDNO HPC platform

P. Lopatka, S. Salvini, N. Nusrat, L. De-Alvaro, D. Wallom
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引用次数: 7

Abstract

This paper presents two distribution state estimation algorithms developed in the HiPerDNO project. The algorithms decompose the network into zones, for efficient parallel computation. We report on the algorithms, their implementation on a parallel system and their test and benchmark results.
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分布式状态估计算法在HiPerDNO高性能计算平台上的性能研究
本文介绍了HiPerDNO项目中开发的两种分布状态估计算法。该算法将网络划分为多个区域,以实现高效的并行计算。我们报告了这些算法,它们在并行系统上的实现以及它们的测试和基准测试结果。
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