Syntax Tree Development for Automated Serial-to-Parallel Code Translator for Multicore Processors

Abstract

The emergence of multicore architectures has extremely stimulated the area of parallel computing. However, developing a parallel program and manually paralleling inherited sequential program codes are time-consuming work. The programmer should have good skills in using parallel programming methods. This fact determines the relevance of the subject of the research – the development of a serial-to-parallel code translator. The article gives a review of existing solutions in the chosen direction of research and considers their advantages and disadvantages. The principle of formation of a syntactic tree which is based on JSON format (the text format of data exchange based on JavaScript) is offered and an example of formation of a syntactic tree on the basis of this principle is considered. The result of the work is an approach for building a program platform for translating sequential code into parallel code. The distinctive feature of the developed platform is the web-service, which potentially allows you to extend the translator with other programming languages. The interaction with the programming environment is realized by means of REST-requests (HTTP-requests designed to call remote procedures). The developed software platform consists of three modules: the query processing module, which provides interaction with external systems through REST-requests; the tree building module, which forms a syntax tree on the basis of the source program code; the code conversion module, which obtains parallel program code on the basis of the syntax tree.