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Parallel Algorithm for Modeling Temperature Fields Using the Splines Method

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Date

2021

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Ieee

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Department of Artificial Intelligence
The main purposes of the department's team are to prepare advanced bachelors and masters in the field of artificial intelligence, to conduct educational methodological and research work. "Artificial intelligence and IOT technologies" and "Embedded systems" laboratories are operating within the department, and it is planned to establish "Robotics" and "Cloud computing" laboratories.

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Abstract

The paper is devoted to the construction of an algorithm for parallelization of temperature field modeling processes based on bicubic spline and the problems that arise in it. It takes a lot of time and memory on a computer to model existing large-scale signals of temperature fields in three-dimensional graphical form. Solving these problems on the basis of the proposed parallel algorithm, the development of parallel algorithms and software tools to qualitatively determine the coordinates of high-temperature hotspots of temperature fields and allow them to be monitored continuously, and to calculate the digital processing of existing large-scale signals of temperature fields. Based on this, the article presents a parallel algorithm for digital processing of signals of temperature fields on the basis of bicubic spline and ways to parallel its computational processes using Open MP technology.

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Vectorization, parallelism, bicubic spline, parallel algorithm, Open MP, interpolation, temperature field, coefficient, approximation, parallel processes

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IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) -- APR 21-24, 2021 -- ELECTR NETWORK

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Start Page

304

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309

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