The Semantic Model Features of the Statically Typed Language of Functional-dataflow Parallel Programming

The features of a statically typed functional-dataflow model of parallel computation and its mapping to the statically typed language of functional-dataflow parallel programming Smile are considered. To provide support for architecture-independent parallel programming, we used: a functional style, an implicit managing of calculations on data readiness, structured data objects that provide representation of various types of parallelism. A distinctive feature of the approach is the inclusion in the model of special asynchronous data objects that can generate events on partial filling. These data objects are stream and swarm. Each of these data objects has its own specifics to control by parallel calculations. A stream is used to process data of the same type that arrives sequentially and asynchronously at random intervals. A swarm is used to describe independent data of the same type or different types, on which it is possible to perform massive parallel operations. The use of streams and swarms in various situations as well as their mapping into each other and other program objects are shown. An analysis is made of the possibilities of transforming the formed language constructs into programming languages used in writing programs for modern parallel architectures. © The Authors 2023. This paper is published with open access at SuperFri.org