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Magnetic field calculations are by far the most computationally demanding part of a micromagnetic simulation — there are significant efforts to use hardware accelerators (such as GPUs) to speed up calculations. Dedicated hardware, such as FPGAs could offer even higher performance, and flexibility / reprogrammability is usually not a requirement at this level of the computation. In this paper we present...
In this paper, we demonstrate an optically inspired massively parallel non-Boolean operator which can emulate 3D wave dynamics on a 2D FPGA-based architecture. The algorithm is based on the Paraxial Helmholtz Equation: which describes the beam propagation through different media with different refractive indices. To solve this wave propagation equation numerically the FPGA-accelerated hardware have...
In this paper, we demonstrate the FPGA implementation of a massively parallel, non-Boolean pattern-matching algorithm. The algorithm is based on the concepts of optical computing: quasi-optical wave equations are solved numerically, using FPGA-accelerated hardware. The FPGA-based wave-equation solver is very well parallelizable, so the resulting pattern-matching algorithm will also be amenable to...
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