2015 IEEE Power &Amp; Energy Society General Meeting 2015
DOI: 10.1109/pesgm.2015.7285591
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Parallel massive-thread electromagnetic transient simulation on GPU

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Cited by 17 publications
(16 citation statements)
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“…The approach presented by Zhou et al [13], used a special node mapping structure (NMS) to change the admittance matrix into a perfect block diagonal matrix. Although this approach has improved the performance of EMT simulations, there may be room for further acceleration.…”
Section: Emt Simulation Using Gpu-computingmentioning
confidence: 99%
See 2 more Smart Citations
“…The approach presented by Zhou et al [13], used a special node mapping structure (NMS) to change the admittance matrix into a perfect block diagonal matrix. Although this approach has improved the performance of EMT simulations, there may be room for further acceleration.…”
Section: Emt Simulation Using Gpu-computingmentioning
confidence: 99%
“…Using several different test cases, the authors' earlier work [9], showed that GPU-based EMT simulation produces exactly the same result as the commercial tools. Other researchers also used this approach for creating large test cases [5], [12], [13], [30].…”
Section: Test Cases Used For Gpu Based Emt Simulationmentioning
confidence: 99%
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“…Donanım destekli benzeticiler, paralel işleme imkân tanıyan ve bünyesinde birçok işlemci bulunduran gerçek zamanlı benzetim gerçekleştirebilen platformlardır [5]. Bu platformlar; çok çekirdekli işlemciler [8], kişisel bilgisayar (PC) kümeleri [9], kullanıcı programlamalı kapı dizileri (FPGA'lar) [10], grafik kullanıcı ara yüzleri (GPU'lar) [11,12]…”
Section: Gi̇ri̇ş (Introduction)unclassified
“…The authors of this paper first reported GPU-based EMT simulation in 2011 [9] and further developments of the work were reported in [10], [11]. Recently Zhou et al [13] reported on another approach for GPU-based EMT simulation, known as Node Mapping Structure (NMS). The approach presented in this paper is to speedup EMT simulation using GPU-based computing and is a potential alternative to the NMS algorithm.…”
Section: Introductionmentioning
confidence: 99%