MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM IR

This paper introduces a novel approach using embedding and deep learning graph neural networks (GNNs) to identify bugs in MPI programs, achieving high accuracy in detecting error types. The models trained on benchmark suites show promising results for error detection.