Mutual modeling of sequential and parallel word computations

The work is devoted to the connection between parallel and sequential computing. On the one hand, we consider a class of word predicates based on sequential calculations, limited in memory by constants and having polynomial time complexity. On the other hand, we consider a class of word predicates that are computable on parallel alternating machines in logarithmic time. The coincidence of the corresponding classes is proven. The direction of using the obtained results for mutual transformation and combination of calculations on molecular biosimilar sequential machines and parallel calculations on vector-matrix computers is proposed. Intended applications: real-time image processing for control tasks, analysis of large texts and other big data.