Modeling training content for software engineers in parallel computing

• Published in: Journal of physics. Conference series 2023-10, Vol.2611 (1), p.12017
• Main Authors: Sitsylitsyn, Y O, Osadchyi, V V, Kruglyk, V S, Kuzminska, O H
• Format: Article
• Language: English
• Subjects: Computer networks; Curricula; Distributed processing; Education; Engineers; Higher education institutions; Physics; Software engineering; Training
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/2611/1/012017

This study proposes a robust framework for the training of software engineers specializing in parallel computing. We first curated essential content for parallel computing education based on international standards and evolving recommendations from Computing Curricula. We then systematically structured the content and designed a well-defined learning pathway for aspiring software engineers. Concurrently, we conducted a comprehensive assessment of the current state of training for parallel computing in Ukrainian higher education institutions. We analyzed bachelor’s programs in Information Technologies and scrutinized individual course syllabi to identify valuable insights. By merging our findings with the review of educational programs, we formulated a comprehensive model for training in parallel computing. We also examined the pivotal role of the course ”Parallel and Distributed Computing” in the developed curriculum and identified essential tools and methodologies for developing parallel and distributed programs. Our research contributes to the advancement of parallel computing education and provides a valuable reference point for curriculum designers and educators.