Methodology for the execution of programs based on different programming languages

Proceedings of the 2023 6th International Conference on Software Engineering and Information Management Pub Date : 2023-01-31 DOI:10.1145/3584871.3584882

Yoni Nicolas-Rojas, W. Auccahuasi, Sandra Meza, Tamara Pando-Eszurra, Oscar Linares, K. Urbano

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Abstract

Abstract: Currently, in the programming ecosystems, there are different programming languages, each of the languages work with their libraries dedicated to special tasks, among the most used languages are Python, R, Matlab, C, C++ among others, in this work, we demonstrate a method to perform work with the use of different programming languages, in order to exploit the benefits of each one, all of them in a single development environment, which takes advantage of the available hardware that we can have in the workstations, as is the case of CPUs and GPUs that may have. As a result we present the architecture and programming modes that can be developed with each language, the programming mode considered is to perform partial jobs, defined in taking the file to work, perform the necessary processes, then store them in new files so that it can be worked by another language, the method can be applied in multiple tasks mainly in those that can work with matrices and vectors.

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基于不同编程语言的程序执行方法

文摘:目前，在编程生态系统中，有不同的编程语言，每种语言都有专门用于特殊任务的库，其中最常用的语言是Python, R, Matlab, C, c++等，在这项工作中，我们展示了一种使用不同编程语言执行工作的方法，以便利用每种语言的优点，所有这些都在一个单一的开发环境中。它利用了我们在工作站中可以拥有的可用硬件，就像cpu和gpu一样。因此，我们提出了可以用每种语言开发的体系结构和编程模式，所考虑的编程模式是执行部分工作，定义为使文件工作，执行必要的过程，然后将它们存储在新文件中，以便它可以由另一种语言工作，该方法可以应用于多种任务，主要是那些可以使用矩阵和向量的任务。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 2023 6th International Conference on Software Engineering and Information Management

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