Using MPI One-Sided Communication for Parallel Sudoku Solving

Sammanfattning: This thesis investigates the scalability of parallel Sudoku solving using Donald Knuth’s Dancing Links and Algorithm X with two different MPI communication methods: MPI One-Sided Communication and MPI Send-Receive. The study compares the performance of the two communication approaches and finds that MPI One-Sided Communication exhibits better scalability in terms of speedup and efficiency. The research contributes to the understanding of parallel Sudoku solving and provides insights into the suitability of MPI One-Sided Communication for this task. The results highlight the advantages of using MPI One-Sided Communication over MPI Send-Receive, emphasizing its superior performance in parallel Sudoku solving scenarios. This research lays the foundation for future investigations in distributed computing environments and facilitates advancements in parallel Sudoku solving algorithms.