Functional programming for parallel computing

The paper is devoted to modern trends in the application of functional programming to the problems of organizing parallel computations. Functional programming is considered as a meta-paradigm for solving the problems of developing multi-threaded programs for multiprocessor complexes and distributed systems, as well as for solving the problems associated with rapid IT development. The semantic and pragmatic principles of functional programming and consequences of these principles are described. The paradigm analysis of programming languages and systems is used, which allows assessing their similarities and differences. Taking into account these features is necessary when predicting the course of application processes, as well as when planning the study and organization of program development. There are reasons to believe that functional programming is capable of improving program performance through its adaptability to modeling and prototyping. A variety of features and characteristics inherent in the development and debugging of long-lived parallel computing programs is shown. The author emphasizes the prospects of functional programming as a universal technique for solving complex problems burdened with difficult to verify and poorly compatible requirements. A brief outline of the requirements for a multiparadigm parallel programming language is given.