Metallurgical production is one of the most difficult technical processes to implement. The main difficulty lies in qualitative and quantitative indicators of measurement accuracy and modeling of the thermal process. Currently, we use hybrid supercomputers (for example, using Nvidia CUDA technology) for this, but many mathematical algorithms are not adapted for parallel implementation. This paper discusses synthesis of mathematical apparatus the development of the software module for modeling thermal process on a hybrid supercomputer. The authors express their gratitude to students and lecturers of St. Petersburg Mining University for their assistance in conducting these studies.
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Ilyushina et al. (2024) studied this question.
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