Influence of parallel calculations and structure of algorithms solvable tasks on efficiency of information processing in multiprocessor computing systems

The article is devoted to the decomposition algorithms structure’s problematics of information processing operation in multiprocessor systems. The stages of the process of parallelization of algorithms associated with their further software implementation are presented. Allocated groups of algorithms for the tasks to be solved. As an example of the analysis of one of the algorithms, the solution of the problem of remote sensing of the Earth from space, together with its mathematical formulation, is presented. It has been revealed that parallel structures of algorithms for solved problems and hardware, as well as parallel programming, contribute to the achievement of the necessary parallelism of computing processes, an increase in the performance of computing tools and an increase in the efficiency of information processing. The article is of an applied nature and can be useful for people interested in improving the efficiency of information processing.