Optimal Algorithm Parallel Computing Method for Geological Disaster Warning

Geological disasters pose a great threat to human society, so it is very important to issue geological disaster predictions to protect the safety of people's lives and properties. In recent years, researchers have begun to study the application of parallel computing methods in geological disaster predictions with the advancement of computing power. The preferred parallel computing method for geological disaster predictions was selected in this study, and the performance of the selected parallel computing method is evaluated in geological disaster predictions by comparing the computation time between the Bayesian network parallel computing method and the support vector machine(SVM) method. After comparison, we found the Bayesian network parallel computing-based geohazard early-warning method's computation time is shorter compared with the Support Vector Machine method. The method of Bayesian network parallel computing achieves faster computation speed based on optimizing algorithm complexity, optimizing parallel computing, and optimizing data processing efficiency.