High-performance computing system and artificial language recognition in the visual application of intangible cultural heritage art design

High-speed computing applications such as gene sequencing and MARS business models are especially important in modern computer science. However, the implementation and maintenance of the high-performance computing system platform will cause a lot of waste of resources. Therefore, in order to solve the problem of large-scale coupled processing, this paper proposes to design and implement the integrated processing framework Teno of high-performance computing system, which can calculate the tasks efficiently executed on high-performance computer system. In addition, this article focuses on artificial language recognition based on DNN (deep neural network), which has become a hot spot in academic and industry research. This article focuses on artificial language recognition based on DNN and is committed to completing a complete and well-executed language recognition system. Based on the classification and analysis of a large amount of undeveloped information about national intangible cultural heritage art in a certain province, this paper uses the method of designing information vision to make it a visual image of visual information, so that the intangible cultural heritage art information culture is well. It is possible to understand and use. Research has found that it is feasible to use information visualization to express information in intangible cultural heritage. In the process of designing cultural heritage infographics, designers must refine and perfect information and use various information principles in visualization methods to finally design clear and understandable infographics and then apply them to specific fields.