Experience using AI in MPI Test Suite Development: Implications for Educators

The integration of artificial intelligence (AI) into software development has introduced new possibilities for automating complex coding tasks. This study investigates the role of AI, specifically GitHub Copilot, in generating Message Passing Interface (MPI) test suites and its implications for Parallel and Distributed Computing (PDC) education. Key findings highlight the effectiveness of AI-assisted development, the importance of prompt engineering, and the necessity of domain expertise. The study provides recommendations for educators on integrating AI tools into curriculum design while ensuring students develop critical programming skills. Future directions include enhancing AI capabilities for parallel computing and developing domain-specific models.