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- W2091240924 abstract "In this paper, we present a parallel implementation of the Particle Swarm Optimization (PSO) on graphical processing units (GPU) using CUDA. By fully utilizing the processing power of graphic processors, we show how our parallel CUDA-PSO can be used to minimize harmonics in multi-level inverters. The computing power of the GPU coupled with the parallelism of our algorithm allows for real-time computation of optimal switching angles for multilevel inverters with several DC inputs while minimizing the 50 <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>th</sup> first harmonics. Compared to other solutions, our CUDA-PSO offers superior converging rate by running hundreds of independent swarms in parallel without increasing the computation time." @default.
- W2091240924 created "2016-06-24" @default.
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- W2091240924 date "2012-10-01" @default.
- W2091240924 modified "2023-09-25" @default.
- W2091240924 title "Efficient parallel Particle Swarm Optimizers on GPU for real-time harmonic minimization in multilevel inverters" @default.
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- W2091240924 doi "https://doi.org/10.1109/iecon.2012.6388882" @default.
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