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The Finite Difference Time Domain method (FDTD) enables simulating electromagnetic wave propagation. To speed up FDTD computations in a multiprocessor system we apply an optimized distribution of the computational load between available processors. The optimization algorithm is based on the analysis of macro data flow graphs of the FDTD programs combined a with a genetic algorithm (GA. We have tested...
In this paper we present and compare two algorithms to transform and optimize the finite difference time domain (FDTD) method computations in irregular computational areas for multiprocessor systems. Both algorithms are based on a genetic approach with different design of chromosomes. In the first case, a chromosome represents a complete merging algorithm as a sequence of merging functions that are...
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