The principles of building a machine-learning-based service for converting sequential code into parallel code

This article presents a novel approach for automating the parallelization of programming code using machine learning. The approach centers on a two-phase algorithm, incorporating a training phase and a transformation phase. In the training phase, a neural network is trained using data in the form of...

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Bibliographic Details
Main Authors: Viktorov Ivan, Gibadullin Ruslan
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/68/e3sconf_itse2023_05012.pdf