Abstract
An algorithm, based on the successive approximation technique for the parallel synthesis of the multi-tapped meander microstrip delay line (MTMDL), is presented. Multiconductor line model and finite difference method are used for analysis of the MTMDL. Parallel computations in the proposed algorithm are organized according to both – data parallelism and task parallelism concepts. Efficiency of two parallel synthesis algorithms one proposed, and another based on Monte Carlo method, is compared. It is shown that while number of computational nodes is small by comparison (e.g. not larger than 3) then efficiency of the proposed algorithm about 5 times exceeds Monte Carlo method based algorithm efficiency. It is revealed that efficiency of both algorithms becomes similar when computational nodes number increases several times. DOI: http://dx.doi.org/10.5755/j01.eee.19.7.5166
Highlights
Usage of the numerical methods provide us with flexible design techniques of the microwave devices and significantly increase analysis possibilities of such devices.Most difficult challenge for usage of numerical methods is much longer time of the analysis of the microwave devices than using analytical methods
Reviewing the newest articles referred to the using of the artificial neural networks (ANN) techniques in microwave modeling, optimization and design [3]–[6] it may be concluded that usage of the ANN techniques significantly decrease time of analysis of microwave devices, while computation accuracy remain the same such as using analytical methods
Parallel computations in the proposed algorithm are organized according to both – data parallelism and task parallelism concepts
Summary
Usage of the numerical methods provide us with flexible design techniques of the microwave devices and significantly increase analysis possibilities of such devices. The main drawback of intelligent systems is guarantee of analysis accuracy only for particular ranges of constructional parameters of analyzed device This is conditioned by joint use of analytical methods and the ANN. Another disadvantage of intelligent system is that if a design of analyzed devices is changed, e.g. new element is installed the ANN must be reconfigured and trained again Another way to decrease time of the analysis and the synthesis processes is use of parallel computational techniques and special hardware [7]–[9]. Multiconductor line model and finite difference method are used for the analysis of the MTMDL in the proposed algorithm Parallel computations in this algorithm are organized according to both – data parallelism and task parallelism paradigms. Efficiency of the proposed algorithm, and parallel algorithm based on Monte Carlo method [7], are compared
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