Since the country began to go global, the country’s economy has developed rapidly, cultural exchanges between countries have become more and more frequent, and foreign cultures have begun to gradually spread to the country. At the same time, through the absorption of foreign community governance experience, domestic research on community governance has also begun to be put on the agenda. This paper aims to study the innovative exploration of urban community governance mechanisms through key high-performance computing algorithms. To this end, this paper proposes a combination of the Bayesian algorithm and distributed high-performance computing to analyze and explore the governance and management methods of the community through its efficient and stable computing power, and derive the most suitable community governance mechanism. An experiment was also set up for comparative analysis. The experimental results show that the community governance mechanism derived from the key distributed high-performance computing algorithm improves the community governance capability by 19.4%, effectively improving the community governance and management issues.

The rural revitalization policy can be said to be a major change in the party’s agricultural policy and rural history. Rural revitalization is the rebirth of rural civilization, which is intimately connected with the growth of soft power. Culture should become a productive force; combined with the driving force of the village, culture should improve the quality of life, improve development conditions, guide civilization, and benefit the villagers. This article takes advantage of the data mining technology under the platform of big data to gather data related to rural public cultural services and presents the existing problems and countermeasures. In the satisfaction survey of existing facilities and venues, the satisfaction rate of the library is 47.36%, the satisfaction rate of the cultural center is 50.12%, and the satisfaction rate of the cultural square and Dabazi is 67.25%.