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The architecture includes the required memory and modules for performing all operations of the algorithm.
Hence, all necessary operations of the algorithm are assumed to be executed over the CORBA ORB.
A hardware pipelined PSO (PPSO) Core is applied with which the required computational operations of the algorithm are performed.
The calculation of polynomial coefficients and the calculation of convective fluxes through faces of cells are the most interesting and time consuming operations of the algorithm.
In this paper the work is focused on adapting the basic operations of the algorithm to architectures of Graphics Processing Units (GPU) without considering the multi-GPU communication scheme.
The work is focused on the adaptation and optimization of basic operations of the algorithm to different architec- tures of massively-parallel accelerators including GPU of AMD and NVIDIA.
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In the operation process of the algorithm, the threshold value is determined irrespective of voltage when there is white noise in signal and it is verified [30].
The simulation experiments demonstrate the operation of the algorithm.
Several examples are given to demonstrate the operation of the algorithm.
A detailed step-by-step application example is solved to illustrate the operation of the algorithm in solving combinatorial optimization problems.
The rest of the operation of the algorithm is unchanged.
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